Enterprise IT leaders continue to invest in private cloud platforms to regain control over infrastructure, security, and workload placement. VMware Cloud Foundation is frequently selected because it brings compute, storage, networking, automation, and operations together into a single private cloud operating model for modern cloud operations management. Still, many organizations discover that progress slows significantly after the initial deployment. Instead of advancing toward higher private cloud maturity, teams often fall back on familiar tools and manual processes. For many enterprises, the real challenge is not deploying VCF, but operationalizing it in a way that delivers measurable efficiency, consistency, and security.

This stall is rarely caused by product limitations. More often, organizations deploy the platform but do not adopt the operating model that comes with it. When cloud operations management, automation, and NSX networking are not fully activated, the platform delivers only a portion of its intended value.

Why VMware Cloud Foundation Adoption Stalls After Initial Deployment

A common pattern emerges across enterprises. VMware Cloud Foundation is implemented to satisfy licensing changes, hardware refresh cycles, or consolidation initiatives, but daily operations continue largely unchanged. Teams still perform most administrative work through legacy interfaces and treat the platform as an infrastructure upgrade rather than a new way of delivering services.

Without a deliberate shift in operational approach, cloud operations management capabilities remain underutilized. Automation initiatives stay in planning phases, and networking continues to be managed inconsistently. As a result, organizations struggle to progress along the private cloud maturity curve and fail to realize the business outcomes expected from a private cloud investment.

Common Gaps in VCF Operations, Automation, and NSX

One of the most common gaps appears in operations. VCF Operations is designed to to serve as the central administrative control plane, supporting licensing, lifecycle management, workload domain creation, and fleet management. However, many teams hesitate to transition daily tasks into this interface, slowing adoption and limiting operational consistency.

Automation represents a second major gap. Although automation tooling is included in VMware Cloud Foundation, many teams still view it as an  optional or future capability. Provisioning continues to rely on tickets, manual approvals, and custom scripts owned by individual administrators. This approach increases operational friction and makes it difficult to scale standardized services, directly constraining cloud operations management effectiveness.

Networking is the third gap. NSX is deployed because it is required, but not fully leveraged. Without adopting overlay networking, application aware segmentation, and software defined constructs, network behavior varies across environments. This inconsistency complicates security enforcement and limits progress toward higher private cloud maturity.

Using VCF Automation to Standardize Provisioning

VCF Automation enables organizations to define repeatable blueprints for virtual machines, application stacks, and container based workloads. These blueprints establish consistent configurations, integrate approval workflows, and align infrastructure delivery with business intent.

When automation becomes the default provisioning mechanism, manual toil decreases and outcomes become predictable. This strengthens cloud operations management by enforcing standards through automation rather than documentation. Over time, automation shifts IT teams away from repetitive fulfillment work and toward higher value initiatives, accelerating overall private cloud maturity.

Automation also supports advanced initiatives such as AI. Organizations working with an AI infrastructure partner or pursuing AI infrastructure consulting for enterprises can use automation to consistently provision GPU enabled environments and supporting services. This approach helps enterprises accelerate AI time to value while maintaining governance across private cloud environments.

Using NSX in VMware Cloud Foundation for Cloud Operations Management

NSX enables VMware Cloud Foundation to deliver cloud-like networking capabilities inside the private data center. Once the physical underlay is established, application networks can be created, secured, and managed entirely through software.

By using application flow awareness and software defined security policies, teams can design controls that align with how applications actually communicate. This creates consistent network behavior across workload domains and strengthens security by embedding controls directly into the infrastructure layer by reducing reliance on perimeter based defenses.

When fully adopted, NSX becomes a foundational element of cloud operations management and a key driver of private cloud maturity, supporting standardized networking and security practices across the enterprise.

Final Thoughts

Organizations that move beyond initial deployment and fully adopt VMware Cloud Foundation position themselves to operate their private cloud as a true service platform. Success depends on activating operations as the control plane, using automation as the default provisioning method, and leveraging NSX to enforce consistent network and security policies.

WEI brings deep expertise across VCF operations, automation frameworks, and NSX adoption. As a trusted AI infrastructure partner delivering ultimate enterprise AI integration services, WEI helps organizations translate platform capabilities into measurable outcomes. To accelerate AI time to value and fully realize your private cloud investment, contact WEI to begin your next phase of private cloud adoption.

Next Steps: VMware by Broadcom’s bundled entitlements, such as VCF and VMware vSphere Foundation (VVF), offer advanced capabilities that extend well beyond virtualization. But activating the full value of these bundles requires more than implementation. It requires a clear roadmap.

Download our tech brief, , to better understand how to move from entitlement to enablement in 4–8 weeks. WEI can set you on the fast track. 

The post How to Strengthen VMware Cloud Foundation Through Cloud Operations Management appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

CISOs today occupy a uniquely pivotal role in the enterprise. They’re not just defending systems, they’re preserving brand reputation, enabling secure digital transformation, and ensuring operational continuity. It’s no longer a question of “if” security leaders have influence. The question is how they choose to wield it. 

Cybersecurity has transitioned from an IT function to a core business enabler. In this new reality, the most effective CISOs are deeply embedded in business strategy. They’re working across departments to align risk tolerance with business goals, develop secure innovation pathways, and protect customer trust in real time. 

At WEI, we guide and support cybersecurity leaders who understand that success isn’t measured by how many alerts are closed. It’s measured by how confidently they can say: we’re prepared for what comes next. 

Who Owns Security? Aligning Responsibility Across the Business 

Security is no longer centralized and that’s both a challenge and an opportunity. 

Modern environments are fragmented across SaaS platforms, cloud services, on-prem systems, and globally distributed teams. As a result, cybersecurity responsibilities are now shared across DevOps, IT, business units, and third-party vendors. This complexity increases risk exposure and reduces visibility. 

The role of the CISO is evolving from policy enforcer to influence architect. It’s about enabling others to own security within their domains while maintaining consistency in standards, tooling, and accountability. 

Cultural and Behavioral Risk: Building a Security-Conscious Organization 

Security awareness is not evenly distributed and it rarely stays consistent without intentional reinforcement. 

Some teams bypass MFA for convenience. Others click through phishing tests without hesitation. Executives often travel with unchecked devices. Developers sometimes push code before scanning dependencies. These aren’t failures of intelligence, they’re gaps in behavior. 

The solution isn’t more mandatory training modules. Leading CISOs are developing behavioral security programs that include real-time feedback, gamified learning, and role-specific risk modeling. 

Behavioral risk is particularly acute in hybrid and remote environments, where culture and accountability are harder to shape. There are also generational nuances to consider: how Gen Z interacts with digital tools versus how senior executives do. These differences matter. 

We help security leaders craft adaptive strategies that engage employees at all levels and across all departments…not just to inform them, but to empower them as active participants in enterprise defense. 

Rising Threat Sophistication and Velocity 

Attackers today don’t need to build exploits from scratch. They rent them. Ransomware-as-a-service platforms, AI-generated phishing kits, and cloud-native evasion techniques have dramatically lowered the barrier to entry while increasing the level of threat. 

Zero-day vulnerabilities are being weaponized within days of public disclosure. Many attackers no longer rely on malware; instead, they use valid credentials and “living off the land” techniques to quietly escalate privileges and evade detection. 

According to recent global threat intelligence reports, the average enterprise now faces a malicious intrusion attempt every 11 seconds. Many organizations aren’t failing because their defenses are weak but because they were never tested under real conditions. 

That’s why WEI, in partnership with Pulsar Security, helps clients validate their defenses against attacker tactics. Together, we conduct offensive testing engagements that simulate credential abuse, lateral movement, and evasion techniques to help organizations identify blind spots before attackers do. 

The Cost of Inaction Is Growing 

For years, cybersecurity leaders were forced to defend investments in offensive testing, proactive validation, and cultural programs. That conversation has shifted as the cost of doing nothing is far greater than the cost of preparation. 

Breaches today result not just in downtime, but in public fallout, regulatory fines, cyber insurance complications, and long-term reputational damage. Regulatory frameworks like the SEC’s cyber disclosure rule, NIS2 in Europe, and evolving insurer requirements are pushing CISOs to produce evidence, not assumptions, of operational resilience. 

Research shows that companies who rely solely on automated scans experience 4x longer breach dwell times and significantly higher post-incident recovery costs than those who conduct regular penetration testing or red teaming. 

External Pressures Shaping the CISO Role 

Security leaders are no longer judged solely on internal outcomes as external entities now play a growing role in defining what good looks like. 

Insurers want documented evidence of testing, response plans, and tool efficacy. Regulators expect disclosures within hours and not weeks. Customers may require independent validation of your cyber posture before finalizing a partnership. 

Meanwhile, global attack trends are shifting quickly. The Biden-Harris National Cybersecurity Strategy in the U.S. and the Digital Operational Resilience Act (DORA) in the EU are clear signs: cybersecurity leadership is now business leadership. 

At WEI, we help CISOs navigate these external pressures with confidence by aligning internal practices to external expectations. 

Turning Pressure Into Action: Where Strategic Partnerships Add Value 

CISOs don’t need more tools. They need trusted partners who can help them validate, prioritize, and improve. 

That’s where WEI comes in. We collaborate with cybersecurity leaders to: 

• Simulate real-world attack scenarios that stress-test people, processes, and technologies 
• Map vulnerabilities and escalation paths based on attacker tactics and not just compliance 
• Support remediation with architectural guidance and real-time retesting 
• Provide board-ready insights that convert findings into business-aligned action plans 

We do this in close partnership with Pulsar Security, our offensive cybersecurity partner. Their hands-on expertise in red teaming, adversary emulation, and threat-informed testing helps ensure our clients see what attackers would see and fix it before it’s exploited. 

From Operational Stress to Strategic Control 

CISOs carry enormous responsibility, but with the right support, they don’t have to carry it alone. 

Today’s leading security organizations invest not just in prevention, but in validation. They move beyond theoretical maturity assessments and into real-world readiness metrics. They seek out partners who challenge assumptions, simulate real threats, and guide internal teams from stress to strategy. 

WEI provides that partnership. Our offensive testing and strategic advisory services give you the tools and clarity to answer: 

• Are we truly ready? 
• Can we prove it? 
• And what should we do next? 

This partnership model, built on the technical depth of Pulsar Security and WEI’s strategic advisory capabilities, empowers CISOs to lead with both confidence and clarity. 

Let’s Test Your Defenses Before Someone Else Does 

The burden CISOs carry today is massive and growing. But the best aren’t just reacting to pressure. They’re redefining it as a driver for strategic action. 

Cybersecurity readiness isn’t a checklist. It’s a mindset,  one rooted in constant validation, measured performance, and trusted collaboration. The most forward-thinking security leaders are done asking whether they’re compliant. They’re asking: Are we ready? Can we prove it? What comes next? 

That’s where WEI makes a difference. In partnership with Pulsar Security, we deliver offensive testing and strategic insight that turns uncertainty into clarity. Together, we help you test the right things, interpret the results, and act with precision, before threat actors exploit the unknown. 

If you’re ready to lead with data, act with purpose, and secure your enterprise with confidence, we’re ready to help. Contact our experts at your convenience, we’re ready. 

Next Steps: WEI’s cyber assessments provide the insights needed to strengthen your defenses, optimize security investments, and ensure compliance. Whether you need to identify vulnerabilities, test your incident response capabilities, or develop a long-term security strategy, our team is here to help.

 featuring WEI cybersecurity assessments.

The post What Today’s CISOs Are Really Up Against and How to Respond Strategically appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

If you’re responsible for IT and financial strategy at the enterprise level, you’re likely walking a tightrope. You need to support rapid innovation, maintain operational continuity, and align infrastructure investments with business objectives without locking up capital or delaying outcomes. Traditional procurement models just aren’t cutting it anymore. They’re slow, rigid, and often leave you overcommitted to technology you may not fully use.

How do you modernize IT finance while keeping operations steady? The answer lies in a new approach to procurement, one that aligns usage with spending and allows your organization to adapt on its own terms. One answer gaining traction is the shift to consumption-based IT procurement: instead of owning infrastructure outright, you pay based on actual usage, thus unlocking greater financial control and faster alignment between IT and business outcomes.

Let’s look at how solutions like HPE GreenLake as-a-Service support this shift by allowing you to consume infrastructure the way you consume cloud services.

Watch: Proven Outcomes With HPE GreenLake & WEI

The Financial Challenges Of Conventional IT Procurement

Historically, IT departments purchased infrastructure using capital expenditure budgets. These upfront investments often required long procurement cycles and multi-year planning. This model may offer predictability in asset ownership, but it creates financial strain in several ways:

1. Overprovisioning: To meet future demand, teams buy more capacity than they need. This ties up capital in underutilized resources.
2. Delayed upgrades: Budget constraints delay critical upgrades, affecting operational continuity and long-term cost.
3. Opaque cost structures: Traditional models make it difficult to link costs to actual business units or workloads.
4. Inefficiency during change: Scaling up or down quickly isn’t feasible under long depreciation cycles and rigid budgets.

This model worked when the change was gradual. However, today, it’s becoming a liability due to shifting priorities and increasing demand for speed.

A Smarter Approach To Consumption-Based Procurement

Enterprise IT leaders are increasingly moving toward pay-per-use models that align spending with actual consumption. In fact, Gartner predicts that by 2026, 60% of enterprises will adopt consumption-based infrastructure for their on-premise environments. This shift is reshaping procurement and budget planning in IT organizations.

HPE GreenLake solutions offer a practical way to adopt this model. You get the infrastructure resources you need deployed in your environment and billed monthly as an operating expense. This removes the guesswork from long-term planning and gives your team greater financial responsiveness.

With HPE GreenLake, you can:

• Avoid paying for unused capacity
• Respond to business demands faster without waiting on procurement cycles
• Bring cloud-like spending control to your on-premises environment

This isn’t just about a new payment model; it’s a new way to manage IT funding more strategically.

What Is HPE GreenLake? Learn The Basics With WEI

Optimize Spending, Maintain Operations

Modernizing IT finance doesn’t require a complete infrastructure overhaul. With HPE GreenLake as-a-Service, you can rethink how you fund and manage infrastructure without putting operations at risk. It’s a way to align spending with real usage and open the door to better decision-making across IT and finance.

According to HPE, organizations that adopt GreenLake typically report , particularly in compute and storage. These savings come not just from better pricing, but from shifting away from unused capacity and long-term capital commitments. You gain control over how and when you consume IT resources, and you fund them through operational budgets rather than large upfront investments.

Adopting HPE GreenLake solutions helps:

• Replace large capital outlays with predictable monthly costs
• Make spending more transparent across departments or business units
• Accelerate the launch of new initiatives without lengthy procurement delays

Still, one of the biggest concerns IT leaders raise is how to move toward this model without compromising operations. The good news is you can take a phased approach that minimizes disruption and builds confidence across your teams.

Here’s how to do it:

1. Start with a low-risk workload: Identify a non-critical application that can serve as a pilot for the HPE GreenLake as-a-Service model. This lets your team get familiar with consumption-based infrastructure while keeping business continuity intact.
2. Engage a trusted HPE GreenLake solutions provider: A knowledgeable partner like WEI will help evaluate your current environment, identify where spending doesn’t align with usage, and plan a path forward that supports your goals. They’ll also assist with usage forecasting and capacity planning.
3. Use the built-in capacity monitoring tools: These tools give your teams real-time insights into consumption trends and can help fine-tune both IT strategy and procurement timing.
4. Align IT and finance early: Bring both teams to the table at the beginning. Aligning on procurement strategy, contract terms, and cost expectations helps prevent delays and keeps everyone focused on business priorities.

This measured approach helps you take advantage of the benefits HPE GreenLake offers without introducing unnecessary challenges.

Why the Right Partner Makes The Difference

Transitioning to a consumption-based model like HPE GreenLake as-a-Service requires careful alignment across technology, finance, and procurement. Success depends on choosing a partner who understands both the operational and strategic sides of IT modernization.

That’s why enterprise organizations turn to experienced HPE GreenLake solutions providers like WEI. With deep expertise in infrastructure planning, financial modeling, and workload optimization, WEI supports customers through every stage of their digital transformation journey.

A qualified partner can:

• Assess your current infrastructure and identify areas where the spend doesn’t match actual usage
• Build cost models based on real-world consumption trends to support accurate budgeting
• Guide your finance and procurement teams through the shift from CapEx to OpEx
• Provide post-deployment support to adjust strategies as your business evolves

When you work with a provider like WEI, you gain a trusted technology deployment and a strategic ally committed to helping your IT investments deliver real business value.

Final Thoughts

Enterprise IT leaders no longer have to choose between innovation and control. With HPE GreenLake as-a-Service, you can take a more deliberate, business-aligned approach to infrastructure procurement that doesn’t interrupt your operations.

This model lets you match spending with usage, improve planning accuracy, and support business goals with greater confidence. Whether you start small or build a broader transformation plan, consumption-based IT funding gives you the flexibility to act with intent, on your timeline, and your terms.

At WEI, we work with enterprise organizations to bring this vision to life. As a trusted HPE GreenLake solutions provider, we help you navigate each step, from initial planning through deployment and beyond. Ready to take the next step? Schedule a consultation with our team to explore how HPE GreenLake can support your financial strategy and modern IT goals.

Next Steps: WEI helps businesses leverage advanced analytics, big data, IoT, and cloud computing to gain real-time insights and make agile decisions. Discover more in our free white paper,  

• The definition of data modernization
• The importance of being data-driven
• The power and potential of untapped data

The post Modernizing IT Procurement: Here’s Why Enterprise Leaders Trust HPE GreenLake appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

As Kubernetes celebrates a decade of innovation and Google Kubernetes Engine (GKE) marks its 10th anniversary, the momentum behind container orchestration and cloud-native transformation has never been stronger. At Google Next 2025, the “GKE at 10 Years and the Future of Kubernetes” session spotlighted how Kubernetes has evolved from humble beginnings into the backbone of modern infrastructure, fueling AI, data, and application modernization at a global scale.

At WEI, we help customers harness this innovation, whether you are running Kubernetes on GKE, other cloud providers, or in your data center. Here’s what the future holds—and how WEI can help you get there.

Kubernetes: Ubiquitous, Open, and Multicloud

Kubernetes is not exclusive to Google or GKE. Its open-source foundation and thriving community mean you can run Kubernetes anywhere—on Google Cloud, AWS (EKS), Azure (AKS), Red Hat OpenShift, or on-premises in your data centers. This flexibility is key for organizations seeking to:

• Avoid vendor lock-in by running workloads across multiple cloud providers.
• Enhance resilience and disaster recovery with multi-region, multicloud deployments.
• Meet regulatory or performance requirements with on-premises or hybrid architectures.
• Optimize costs by leveraging the strengths of each platform.

The session emphasized that while GKE is a leader in scale, security, and innovation, the Kubernetes ecosystem is broader than any single provider. The new Multicluster Orchestrator, developed in partnership with and AWS, exemplifies this openness, enabling seamless workload orchestration and scaling across clouds and data centers based on open standards and free from lock-in.

Watch: Explore WEI’s Commitment to Innovation and Customer Success

GKE’s Innovations: What’s New and Why It Matters

• Unmatched Scale: GKE supports clusters of 65,000 nodes and 50,000 Tensor Processing Units (TPUs), powering some of the world’s largest AI and production workloads.
• Security and Reliability: Nearly half of GKE’s engineering investment is in security and reliability, resulting in very few security incidents and automated day-2 operations.
• AI/ML Optimization: GKE provides day-one support for the latest GPUs/TPUs, dynamic workload scheduling, and the new Inference Gateway, which reduces inference costs by up to 30% and latency by 60%.
• Autoscaling and Compute Efficiency: GKE Autopilot now delivers near-instant autoscaling (1 to 10 pods in 8 seconds) and container-optimized compute, with in-place pod resizing coming soon.
• Unified Management: Features like rollout sequencing and release channels simplify upgrades and governance, while composite resource management enables complex, multi-cloud deployments.
  

Listen: AWS Networking – VPC Architecture & VPC Networking

How WEI Can Help You Succeed with Kubernetes—Anywhere

WEI is your trusted partner for Kubernetes and cloud-native transformation, wherever your workloads need to run:

1. Multi-Cloud and Hybrid Kubernetes Strategy

• Design and implement Kubernetes environments spanning Google Cloud, AWS, Azure, and on-premises data centers.
• Architect for resilience, compliance, and portability using open-source tools and best practices.
• Leverage GKE Enterprise’s attached clusters to manage EKS, AKS, and on-prem clusters alongside GKE for unified operations.

2. Security, Compliance, and Day-2 Operations

• Implement robust security controls and compliance frameworks across all environments.
• Automate upgrades, scaling, and monitoring to reduce operational burden and risk.
• Offer managed services to handle day-to-day Kubernetes operations, freeing your teams to focus on innovation.

3. AI/ML Infrastructure Enablement

• Enable AI/ML workloads on any platform with advanced GPU/TPU scheduling, inference optimization, and dynamic resource allocation.
• Design and deploy scalable, automated ML pipelines integrated with your data and application stack.

4. Cost Optimization and Resource Efficiency

• Optimize resource usage with advanced autoscaling, custom compute classes, and in-place pod resizing.
• Align infrastructure costs with business demand across clouds and on-premises.

5. Unified Management and Observability

• Centralize policy enforcement, security, and monitoring with tools across cloud and on-premises Kubernetes clusters.
• Implement open standards and orchestration tools like the Multicluster Orchestrator for seamless workload management.

The Future is Open, Flexible, and Cloud-Native

Kubernetes has become the universal language of cloud infrastructure—open, portable, and adaptable to any environment. GKE’s innovations set the pace, but the Kubernetes ecosystem empowers you to choose the best platform for your needs, whether in the cloud, on-premises, or both.

WEI is here to help you navigate this landscape—designing, implementing, and managing Kubernetes solutions that drive agility, innovation, and business value.

Ready to modernize your infrastructure? to start your Kubernetes journey and unlock the full potential of cloud-native technology—anywhere you need it.

The post GKE at 10 Years: The Future of Kubernetes and How WEI Empowers Your Cloud Journey appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

Migrating to the cloud is more than a technical upgrade…it’s a strategic transformation. At WEI, we seek the latest insights to help our clients navigate this journey. Recently, I attended the Accelerate Your Google Cloud Migration Journey session at Google Cloud Next 2025, which delivered a wealth of practical advice, strategies, and real-world lessons for organizations considering or actively planning a move to Google Cloud. Here are my highlights and actionable takeaways from the session.

Why Migrate to Google Cloud?

The session opened with a compelling case for cloud migration, emphasizing several core benefits:

• Scalability & Elasticity: Google Cloud enables organizations to scale resources up or down to meet demand, ensuring optimal performance for end users.
• Global Reach: Deploying services closer to customers improves user experience. For example, launching new data centers in regions like Sydney helps meet local demand and reduces latency.
• Cost Efficiency: The pay-as-you-go model and server-less options like Cloud Run allow businesses to optimize spending by paying only for what they use.
• Flexibility & Advanced Tools: Google Cloud offers a suite of AI and machine learning services, giving teams access to cutting-edge capabilities.
• Reliability & Disaster Recovery: Built-in redundancy, load balancing, and backup tools ensure high availability and quick recovery from outages.
• Security & Compliance: Advanced IAM (Identity and Access Management), monitoring, and compliance tools help organizations build secure, compliant environments from the start.

Watch: AWS Security Essentials With Keith Lafaso

A Common Theme Across Hyperscalers

A significant theme from the session is that the core strategies, benefits, and challenges of migrating to Google Cloud closely mirror those found with AWS, Azure, and other hyperscale cloud providers. While each platform offers unique features and tooling, the foundational migration approaches (like rehosting (lift-and-shift), re-platforming, repurchasing, refactoring, retaining, and retiring) are common across all major providers.

The best practices emphasized for a successful migration (thorough planning, detailed inventory and dependency mapping, robust tagging strategies, and a strong focus on security and compliance) are universal requirements, whether moving to Google Cloud, AWS, or Azure.

Hyperscalers provide migration support tools and services, such as Google Cloud Migration Center, AWS Migration Hub, and Azure Migrate, offering centralized platforms for discovery, assessment, and migration management. Likewise, data transfer appliances and services (like Google Transfer Appliance, AWS Snowball, and Azure Data Box) address large-scale data movement needs for all three providers.

The drivers for migration are consistent themes in cloud adoption, regardless of the chosen provider. The importance of hybrid and multi-cloud strategies is also a common thread. Google Cloud, AWS, and Azure all emphasize interoperability, containerization, and flexible workload placement to meet evolving business needs.

In summary, the Google Cloud migration journey shares a common DNA with migrations to AWS and Azure. The same strategic principles, migration frameworks, and operational best practices apply, making lessons learned and tools developed in one ecosystem highly relevant to others. This universality helps organizations leverage cross-cloud expertise and accelerate their digital transformation, no matter which hyperscaler they choose.

Overcoming Migration Barriers

Migrating complex, customized applications (often spread across multiple data centers) can be daunting. The speaker stressed the importance of:

• Team Training: Upskill teams on Google Cloud Platform (GCP) before migration to smooth the transition.
• Inventory & Observability: Use observability tools to create a detailed inventory of applications and dependencies. Understanding what you have is essential before moving anything.

Migration Strategies: The 6 Rs

No two migrations are the same, but most fall into one or more of these strategies:

The speaker’s favorite? Re-architecting for cloud-native, leveraging containers and server-less to maximize flexibility and efficiency.

Best Practices for a Successful Migration

• Plan Meticulously: “If you fail to plan, you are planning to fail.” A robust migration plan is non-negotiable. Start by integrating observability tools like Datadog with your GCP account, providing visibility into your infrastructure, applications, and user experience.
• Tag Everything: A consistent tagging strategy (e.g., environment, team, service) is critical for organizing resources, tracking costs, and responding to incidents. If you’re not tagging, you’re doing it wrong.
• Build Dashboards & Reports: Visual dashboards and automated reports keep stakeholders informed and help teams monitor migration progress and performance in real-time.
• Establish Communication Channels: Set up channels (e.g., Slack) for incident response and ensure alerts are routed to the right teams using tags.
• Strengthen Security from Day One: Enable security tools and posture management early. Use IAM for fine-grained access control and continuously monitor for compliance, especially if you operate in regulated industries.
• Leverage Synthetic Testing & SLOs: Synthetic tests simulate user interactions, ensuring applications perform as expected post-migration. Define service level objectives (SLOs) before migrating to benchmark and improve user experience.

Final Thoughts

Every cloud migration is unique. The session reinforced that understanding your current environment, planning thoroughly, and leveraging the right tools and strategies are essential for success. At WEI, we’re committed to helping you accelerate your Google Cloud migration to minimize risk, controlling costs, and unlocking the full potential of cloud-native technologies.

Have questions about cloud migration or want to discuss your organization’s journey? Reach out to our team, we’re here to help you move forward with confidence. I’m also available to connect!

Listen: AWS Networking – VPC Architecture & VPC Networking

The post Accelerating Cloud Migration: Key Takeaways from the Latest Session at Google Cloud Next 2025 appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

Organizations today face a major shift in managing IT investments. The pressure from rigid, upfront capital expenses often limits flexibility and ties up valuable resources. Modern consumption-based IT solutions allow organizations to align spending with actual usage, converting fixed costs into predictable operational expenditures. Instead of locking funds into depreciating assets, businesses can redirect them toward strategic growth and innovation.

Watch: What IT Leaders Need To Know About HPE GreenLake’s As-a-Service Model

This shift provides greater control over cash flow and budgeting, particularly in times of economic uncertainty. By converting large capital investments into regular, usage-based payments, companies can create more predictable budgets and make informed financial decisions supporting their business goals. In this article, we examine: 

• How organizations redefine IT financial models by adopting consumption-based approaches
• Addressing challenges in traditional funding models
• Leveraging expert consulting to assess financial impacts, optimize costs, and build resilient IT infrastructures delivering real value

Rethinking IT Spending: From Capital Investments To Consumption-Based Models

Traditionally, IT investments required large upfront costs for hardware and infrastructure. These capital expenditures demanded long-term commitments and tied up critical resources. Many executives have expressed frustration over this model. A recent study found 62% of enterprises reduced operational risk after switching to a consumption-based approach.

By adopting a pay-per-use model, organizations align spending with actual consumption, making financial planning more predictable. This approach offers distinct advantages:1. Budget Allocation

• Capital models require upfront spending on hardware, software, and support.
• Consumption-based models allow payments based on actual usage, freeing up resources for strategic initiatives.

2. Financial Predictability

• Traditional models rely on long-term forecasts complicating decision-making.
• Pay-per-use structures simplify budgeting, with over 70% of IT leaders reporting predictable costs improve financial planning.

3. Risk Management

• Capital investments increase exposure to assets depreciating quickly.
• Consumption-based approaches ensure payments reflect active usage, preventing losses from unused resources.

Shifting to this model allows businesses to free up capital, support growth initiatives, and create a more adaptable IT environment while minimizing financial risk.

Adapting To Economic Uncertainty

Financial constraints and unpredictable markets make cost flexibility essential. Aligning IT spending with actual usage provides a buffer against economic downturns and market disruptions. When expenses are directly tied to consumption, organizations avoid unnecessary costs and remain financially agile.

Adopting a consumption-based model delivers benefits beyond budgeting improvements. Industry studies highlight key advantages:

• Predictable budgets: Regular payments support accurate short-term forecasting.
• Lower financial exposure: Costs scale with actual IT demands instead of estimated long-term needs.
• Informed decision-making: Usage data provides insights for planning future investments in innovation and market expansion.

A Smarter Approach To IT Spending

HPE GreenLake offers an solution addressing traditional IT spending challenges. This model shifts the focus from owning hardware to consuming IT services as needed. Industry research indicates many organizations value HPE GreenLake for transforming IT from a cost center into a strategic tool supporting evolving business priorities.

provide:

• A pay-as-you-go model directly tied to consumption.
• Predictable cost management, even in uncertain economic conditions.
• The ability to invest in innovation and revenue-generating projects rather than depreciating assets.

Switching from capital-heavy investments to operational models enables IT leaders to pursue strategic initiatives. Instead of committing significant funds to hardware, businesses can allocate resources where they will have the most impact.

Watch: Becoming An Insights-Driven Enterprise With HPE Storage Solutions

How WEI Supports Your Transition

Moving from capital expenditures to operational spending presents challenges. WEI helps organizations navigate these changes by evaluating financial impacts and optimizing IT spending. Their expertise ensures businesses uncover cost-saving opportunities and allocate budgets effectively.

WEI’s services include:1. Financial impact assessment

• Evaluating current IT spending and comparing it with consumption-based alternatives.
• Analyzing industry data showing more than 60% of enterprises reduce operational risks with this approach.

2. Cost optimization strategies

• Identifying opportunities to shift funds from depreciating assets to strategic initiatives.
• Advising on budget management during market fluctuations to prevent overspending.

3. Long-Term Planning And Risk Management

• Collaborating with finance and IT teams to develop proactive spending strategies.
• Helping businesses balance short-term needs with long-term growth objectives.

These services strengthen financial management and simplify IT investment decisions. Continuous assessments and data-driven insights allow companies to plan for the future with confidence.

Final Thoughts

Shifting to a consumption-based approach with HPE GreenLake cloud service redefines IT financial models, turning capital expenditures into predictable operational costs. As an IaaS solution, HPE GreenLake ensures IT spending aligns with actual demand, allowing companies to allocate resources toward strategic priorities.

Learn more about the benefits of transitioning from capital investments to operational spending in our . If you are exploring operational spending or need expert guidance on financial strategy, contact WEI for insights on creating a predictable, business-aligned IT budget. Our team of experts supports clients in assessing financial impacts and optimizing costs, helping organizations build sustainable IT investment strategies.

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In the previous posts in this series, we explored the fundamentals of cloud governance, strategies for managing shadow IT, best practices for building a Cloud Center of Excellence (CCoE) and implementing continuous compliance on AWS. As organizations increasingly adopt DevOps practices to accelerate innovation, the challenge becomes ensuring that security is seamlessly integrated into this rapid development and deployment cycle. In this post, we’ll explore how to enable secure DevOps practices on AWS, highlighting key principles and best practices for embedding security into every phase of your development workflows.

How to Integrate Security Seamlessly into DevOps

Integrating security into DevOps means making security a shared responsibility across development, security, and operations teams throughout the software development lifecycle (SDLC). The goal is to catch and fix security issues early, reducing risk and cost while improving the overall security posture. By shifting security left, integrating security early in the process, and automating security checks, you enable faster, more secure development.

Key benefits of this approach include:

• Identifying and remediating vulnerabilities early, when they are easier and less costly to fix
• Empowering developers to write more secure code by providing automated feedback during development
• Reducing the risk of security breaches and compliance violations
• Increasing the speed and agility of software delivery by catching issues earlier

However, this shift isn’t without challenges. Integrating security into DevOps requires changes to existing processes, tools, and culture. Development, security, and operations teams must collaborate closely to build a shared understanding of risks and responsibilities.

Best Practices for Secure DevOps on AWS

Here are some essential practices for ensuring secure DevOps workflows on AWS:

Implement Infrastructure as Code (IaC)

Use tools like AWS CloudFormation and Terraform to define your infrastructure as code. This allows you to version control your infrastructure, apply security best practices consistently, and automate deployments. By scanning IaC templates with tools like and , you can catch potential security misconfigurations early before they make it into production.

Key benefits of IaC for security include:

• Consistency: Security controls are applied uniformly across all resources
• Traceability: All infrastructure changes are tracked in version control
• Automation: Security checks can be integrated directly into your deployment pipelines

Integrate Security into CI/CD Pipelines

Automate security checks within your CI/CD pipelines to continuously safeguard your applications. Implement tools and practices such as:

• Static code analysis to catch security vulnerabilities in the codebase
• Dependency scanning to identify vulnerabilities in third-party libraries
• Container image scanning to detect security risks in containerized applications
• Compliance checks using AWS Config rules to verify that resources meet security and compliance standards

Fail the pipeline if critical security issues are identified, ensuring that vulnerabilities never reach production. This proactive approach has several advantages:

• Early Detection: Vulnerabilities are caught early in development, reducing remediation costs
• Immediate Feedback: Developers receive quick feedback on security issues
• Continuous Compliance: Every change is automatically evaluated for compliance

Use Immutable Infrastructure

Adopt immutable infrastructure patterns to reduce the risk of configuration drift and ensure consistent, secure deployments. With immutable infrastructure, servers are never modified after deployment; updates are made by provisioning new instances from a known-good configuration. Use services like Amazon EC2 Image Builder to maintain secure, up-to-date machine images. Amazon ECR can store and scan images for known vulnerabilities for containerized workloads, while Amazon ECS or EKS helps manage deployments securely.

Security benefits of immutable infrastructure include:

• Consistency: All servers are deployed from a secure, known configuration
• Reduced Attack Surface: Replacing servers, rather than patching them, reduces the risk of configuration drift and vulnerabilities
• Faster Recovery: If a server is compromised, it can be quickly replaced with a clean instance

Implement Least Privilege Access

Follow the principle of least privilege when granting access to AWS resources. Provide users and services only the minimum permissions they need. Use AWS Identity and Access Management (IAM) roles and policies to enforce fine-grained access controls and implement IAM best practices such as:

• Using IAM roles for EC2 instances and Lambda functions to assign temporary, role-based permissions
• Rotating access keys regularly to reduce the impact of compromised credentials
• Enforcing strong password policies and enabling multi-factor authentication (MFA) for added security
• Regularly reviewing and pruning IAM permissions to ensure they align with users’ roles

These practices help to:

• Reduce the Blast Radius: In the event of compromised credentials
• Limit Insider Threats: By controlling access to critical resources
• Maintain Granular Audit Trails: For tracking resource access and activities

Monitor and Log Everything

Comprehensive monitoring and logging are vital to detecting, responding to, and preventing security incidents. Use AWS services like Amazon CloudWatch and AWS CloudTrail to collect logs and analyze resource activity:

• CloudWatch: Provides real-time monitoring and alerts for AWS resources and applications
• CloudTrail: Records all API activity, offering an audit trail for actions taken within your AWS environment

Aggregate logs from multiple sources to create a single pane of glass for security monitoring and incident response. Enable AWS Security Hub to get a consolidated view of your security posture across accounts and services. With comprehensive monitoring, you can:

• Detect and respond to incidents quickly
• Conduct forensic investigations to determine root causes
• Demonstrate compliance with regulations
• Identify trends for proactive risk mitigation

How WEI Can Help

Implementing secure DevOps practices on AWS requires the right tools, processes, and cultural alignment. WEI’s Cloud and DevOps Services can help you build and scale secure, compliant CI/CD pipelines on AWS. Our certified experts can assist you with the following:

• Assessing your current DevOps practices and identifying opportunities for automation and security integration
• Designing and implementing secure CI/CD pipelines using AWS developer tools and third-party solutions
• Embedding automated security checks and compliance controls into your workflows
• Providing training and enablement to help your teams adopt a security-first mindset

Contact us today to learn more about how WEI can help you enable secure DevOps practices on AWS.

Take Your Next Steps With WEI

Next Steps: WEI, an AWS Select Tier Services Partner, collaborates closely with customers to identify their biggest challenges and develop comprehensive cloud solutions. WEI emphasizes customer satisfaction by leveraging AWS technologies to enhance development, maintenance, and delivery capabilities.

Download our free solution brief below to discover WEI’s full realm of AWS capabilities.

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A critical aspect of any cloud governance program is ensuring continuous compliance with regulatory requirements and maintaining audit readiness. In this post, we’ll dive into how to implement continuous compliance on AWS. We’ll cover the shared responsibility model, key AWS services for compliance, and best practices for automating compliance checks and evidence collection.

Understanding the Shared Responsibility Model

Understanding the shared responsibility model is crucial for cloud compliance. AWS is responsible for the security “of” the cloud, while customers are responsible for security “in” the cloud. This means AWS ensures the security of the underlying infrastructure, such as the physical security of data centers, network infrastructure, and virtualization layer. Customers are responsible for securing their applications, data, operating systems, and network traffic. From a compliance perspective, this means customers are responsible for ensuring their workloads meet applicable regulatory requirements, such as HIPAA, PCI-DSS, or GDPR. However, AWS provides a range of services and tools to help customers meet their compliance obligations.

The Shared Responsibility Model in an AWS Region

Key AWS Services for Compliance

AWS provides a suite of services designed to automate compliance checks and ensure audit readiness:

• AWS Config: Continuously monitors and records your AWS resource configurations. You can create Config Rules to automatically check for compliance with best practices and regulatory requirements.
• AWS CloudTrail: Records API calls and related events across your AWS infrastructure. CloudTrail logs provide an auditable history of actions taken on your account, which is critical for forensic investigations and demonstrating compliance.
• Amazon CloudWatch: Collects monitoring and operational data through logs, metrics, and events. You can use CloudWatch to monitor security events and set alarms for potential compliance issues.
• AWS Security Hub: Provides a comprehensive view of your high-priority security alerts and compliance status across AWS accounts. Security Hub aggregates findings from AWS services like GuardDuty, Inspector, and Macie.
• AWS Audit Manager: Continuously audits your AWS usage to simplify how you assess risk and compliance. Audit Manager automates evidence collection, making it easier to complete audits and meet compliance requirements.

Best Practices for Continuous Compliance

To implement continuous compliance on AWS effectively, consider these best practices:

1. Define Compliance Requirements: Work with your security, compliance, and legal teams to identify the specific regulatory requirements and industry standards that apply to your workloads. Document these requirements and map them to AWS services and features.
2. Implement Compliance as Code: Use tools like AWS CloudFormation and Terraform to define your infrastructure as code. Embed compliance checks and security best practices into your templates to ensure resources are provisioned compliant.
3. Automate Compliance Checks: Use AWS Config Rules to monitor your resource configurations for compliance continuously. Create custom rules based on your specific requirements or use pre-built rules from the AWS Config Rules Repository.
4. Collect and Analyze Logs: Use AWS CloudTrail and Amazon CloudWatch to collect and analyze logs from across your AWS environment. Implement centralized logging and set up alerts for potential security or compliance issues.
5. Regularly Review and Assess: Regularly review your compliance posture using tools like AWS Security Hub and AWS Audit Manager. Identify gaps and remediate issues in a timely manner. Perform periodic risk assessments and penetration testing to validate controls.
6. Train and Educate: Provide training to developers, operations, and security teams on compliance requirements and best practices. Ensure everyone understands their roles and responsibilities in maintaining a compliant environment.

By following these best practices and leveraging AWS compliance services, you can implement a continuous compliance program that reduces risk and simplifies audit preparation.

How WEI Can Help

Achieving continuous compliance on AWS demands extensive expertise in security, compliance, and cloud operations. WEI’s Cloud Security and Compliance Services can help you design and implement a comprehensive compliance program on AWS. Our certified security and compliance experts can assist you with:

• Assessing your current compliance posture and identifying gaps
• Designing and implementing security controls aligned with regulatory requirements
• Automating compliance checks and evidence collection using AWS services
• Developing incident response and forensics capabilities
• Providing training and ongoing support to ensure continuous compliance

By partnering with WEI, you can ensure your AWS environment meets the highest standards of security and compliance, while freeing your team to focus on innovating and driving business value.

Conclusion

Continuous compliance is not just a regulatory requirement but a critical component of a robust cloud governance strategy. By leveraging AWS services and following best practices, organizations can ensure their cloud environments remain secure and compliant. Partnering with experts like WEI can further streamline this process, allowing your team to focus on innovation and business growth.

Next Steps: WEI, an AWS Select Tier Services Partner, collaborates closely with customers to identify their biggest challenges and develop comprehensive cloud solutions. WEI emphasizes customer satisfaction by leveraging AWS technologies to enhance development, maintenance, and delivery capabilities.

Download our free solution brief below to discover WEI’s full realm of AWS capabilities.

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In the two previous posts in this series, we first explored the fundamentals of cloud governance and then followed up on strategies for managing shadow IT. A key theme throughout has been the importance of establishing a Cloud Center of Excellence (CCoE) to centralize cloud expertise and drive governance across the organization.

In part three of this series, we’ll dive deeper into how to design and operate a successful CCoE. We’ll cover defining the purpose and composition of a CCoE, establishing a governance model, ensuring collaboration, and measuring success.

What is a Cloud Center of Excellence?

A CCoE is a cross-functional team that leads and governs an organization’s cloud adoption and operation. Its primary purpose is to accelerate cloud adoption by establishing best practices, enabling teams, and driving cultural change.

As the AWS whitepaper Overview of the AWS Cloud Adoption Framework explains, a CCoE is comprised of two functional groups:

• The Cloud Business Office (CBO): Ensures cloud services meet the needs of internal customers and business services. Owns functions like organizational change management, governance, and cost optimization.
• Cloud Engineering: Owns infrastructure automation, operational tools and processes, security controls, and migration landing zones. Focuses on performance, availability, and security.

The CCoE helps the organization gain traction, provides expertise, and reduces risks in the initial stages of cloud adoption. However, it’s important to note that a CCoE is not always necessary, it depends on the organization’s specific challenges and context.

Determining the Lifespan of Your CCoE

One key decision in designing your CCoE is whether it will be a temporary or permanent team. The AWS blog post suggests that a CCoE is best thought of as a temporary enablement team, as the cloud will eventually become the “new normal” for the entire IT organization.

The functions of a CCoE, such as cloud platform engineering, security, and compliance, will eventually be absorbed into the broader IT organization as cloud maturity grows. The danger is creating a separate silo for the cloud that persists long-term.

However, some organizations maintain a permanent CCoE to continuously optimize cloud operations. The key is ensuring the CCoE enables rather than gates the rest of the organization. As the Microsoft Azure Cloud Adoption Framework states, when successful, a CCoE model creates a significant shift in IT, moving from a control and operations focus to a broker and enablement role.

Key Responsibilities of the CCoE

The primary duty of the CCoE team is to accelerate cloud adoption through cloud-native or hybrid solutions. Key responsibilities include:

• Helping build a modern IT organization using agile approaches
• Developing reusable deployment packages aligned with policies
• Maintaining a functional cloud platform aligned with operational procedures
• Reviewing and approving the use of cloud-native tools
• Standardizing and automating common platform components over time

To fulfill these responsibilities, the CCoE must collaborate closely with application teams, infrastructure teams, security, compliance, finance, and executive leadership. Establishing a regular meeting cadence and clear communication channels is critical.

Establishing a Cloud Governance Model

A core responsibility of the CCoE is establishing a cloud governance model. This includes:

• Defining policies and standards for security, compliance, cost management, etc.
• Establishing processes for provisioning, incident management, change control, etc.
• Clarifying roles and responsibilities across IT and business teams
• Selecting and implementing governance tools and technologies

The CCoE’s role includes creating an initial governance approach for the cloud, with a focus on automating policies and enabling teams. Over time, cloud governance should become integral to overall IT governance.

Ensuring Collaboration and Support

A CCoE requires ongoing collaboration and support from stakeholders across the organization to be effective. Some key strategies include:

• Securing executive sponsorship to champion the CCoE
• Building a cross-functional CCoE team with representation from IT, security, finance, and business units
• Engaging application teams early and often to understand and meet their needs
• Fostering open communication and providing training to build cloud skills

The CCoE should act as a partner and enabler to the business, not a gatekeeper. Building strong relationships and focusing on customer needs is critical. As VMware Tanzu advises, no matter what phase of cloud maturity you’re in, the CCoE can help improve visibility, drive optimization, maintain governance, and align the cloud strategy with business goals.

Measuring Success and Evolving

To ensure your CCoE is effective, establish key performance indicators (KPIs) to measure its impact. Metrics may include:

• Cloud adoption rate: Track the percentage of workloads and applications migrated to the cloud over time. This measures the CCoE’s effectiveness in driving cloud adoption.
• Cost optimization: Measure the cost savings and avoidance achieved through the CCoE’s efforts. This could include savings from right-sizing resources, reserved instances, or automated shutdown of idle resources.
• Agility and time-to-market: Assess how the CCoE has improved the speed and agility of deploying new applications and features. Metrics could include the time from idea to production or the frequency of releases.
• Compliance and audit readiness: Evaluate the effectiveness of the CCoE in maintaining continuous compliance. Track the time and effort required to prepare for and pass audits.
• Customer satisfaction: Survey internal customers (application teams, business units) to gauge their satisfaction with the CCoE’s services and support. Use Net Promoter Score (NPS) or similar metrics.

Establish a baseline for these KPIs and set targets for improvement. Regularly measure and report on progress to stakeholders.

In addition to quantitative metrics, also gather qualitative feedback from stakeholders. Conduct regular surveys, interviews, and workshops to understand what’s working well and areas for improvement.

Use these insights to evolve and optimize your CCoE continuously. Some areas to regularly reassess and iterate on include 1) Governance policies and processes, 2) Tooling and automation, 3) Skills and training, and 4) Organizational structure.

Remember, a CCoE is not a static entity. Its structure, focus, and services should evolve as the organization’s cloud maturity and needs change. Embrace an agile mindset and adapt the CCoE to continuously meet the needs of the business.

Getting Started

Building an effective Cloud Center of Excellence takes time and iteration. Start small, stay focused on outcomes, and scale as you learn. Some key steps to get started:

1. Define your CCoE’s mission and objectives
2. Secure executive support and assemble a cross-functional team
3. Assess current state and identify gaps in skills, processes, and tools
4. Establish an initial governance MVP and implementation roadmap
5. Communicate early and often to build awareness and gather feedback

By starting lean and delivering value quickly, you can demonstrate the impact of the CCoE and earn the trust and support needed for long-term success.

How WEI Can Help

Designing and operating a successful CCoE requires deep cloud strategy, architecture, security, and governance expertise. A trusted and proven partner like WEI can help with this.

WEI’s Cloud Strategy & Advisory Services help you align your cloud journey with business objectives. Our certified experts can assist you in developing a comprehensive cloud strategy and roadmap to accelerate innovation and drive value from AWS.

By partnering with WEI, you gain access to deep cloud expertise to help you build and operate a high-impact Cloud Center of Excellence. WEI is your trusted guide for cloud success from initial strategy through implementation and optimization.

Next Steps: WEI, an AWS Select Tier Services Partner, collaborates closely with customers to identify their biggest challenges and develop comprehensive cloud solutions. WEI emphasizes customer satisfaction by leveraging AWS technologies to enhance development, maintenance, and delivery capabilities.

Download our free solution brief below to discover WEI’s full realm of AWS capabilities.

The post Building a Cloud Center of Excellence to Drive Cloud Governance appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

In the first installment of this extended part series, we explored the fundamentals of cloud governance and best practices for establishing a robust governance framework on AWS. We identified shadow IT, which is the use of unapproved cloud services by employees, as a key challenge. In this article, we’ll dive deeper into strategies for managing shadow IT risks while fostering the agility and innovation the cloud enables. We will also focus on leveraging AWS services to improve visibility, automate policies, and provide secure self-service options.

Understanding the Risks and Causes of Shadow IT

Before we jump into solutions, let’s take a moment to understand the risks posed by shadow IT:

• Security vulnerabilities: Unsanctioned cloud services can expose sensitive data if proper controls are not in place. According to Gartner, through 2025, at least 99% of cloud security failures will be the customer’s fault.
• Compliance violations: Unapproved services may not meet regulatory requirements like HIPAA, PCI, etc.
• Inefficient spending: Redundant services and lack of volume discounts can drive up cloud costs.

So, what fuels the growth of shadow IT? Some common reasons include:

• Slow provisioning processes from central IT: When developers face long wait times to get resources, they are more likely to go around IT and use unapproved services to move faster. Cumbersome approval processes incentivize shadow IT.
• Lack of awareness about approved services: Employees often aren’t aware of all the approved tools available to them. Without clear communication from IT, they assume they need to find their own solutions.
• Desire to experiment with new technologies: Developers want to try the latest tools and services. When IT policies are too restrictive, employees may decide to experiment without approval.

The cloud has accelerated these issues by making it incredibly easy for anyone to spin up new services quickly, often without needing to go through IT. However, while the cloud enables shadow IT, it also provides powerful tools to help govern it.

Strategies for Managing Shadow IT on AWS

As an AWS Select Tier Services Partner, our cloud experts realize that AWS provides several services and tools that can help you discover shadow IT in your environment and mitigate the risks:

1. Gain Visibility with AWS Monitoring Tools

You can’t protect what you can’t see. AWS provides powerful tools to monitor your environment for unapproved activities:

• AWS Config: Continuously assess, audit, and evaluate configurations of AWS resources. Use Config Rules to detect policy violations, like unapproved instance types or unencrypted S3 buckets.
• AWS CloudTrail: Log, monitor, and retain account activity across your AWS infrastructure. Detect unusual API calls that could indicate shadow IT, like IAM user creation outside approved processes.
• Amazon GuardDuty: Continuously monitor for malicious activity and unauthorized behavior. GuardDuty uses machine learning to identify potential security issues.

2. Automate Policies with AWS Control Tower and Service Catalog

Establish guardrails and provision approved services in a self-service manner:

• AWS Control Tower: Set up and govern a secure, multi-account environment based on best practices. Enforce policies with preventive and detective guardrails.
• AWS Service Catalog: Create catalogs of approved resources that adhere to security and compliance requirements. Developers can quickly deploy from the catalog within defined guardrails.

3. Enable Secure Innovation with AWS Organizations

Provide builders with secure sandbox environments to experiment:

• Use AWS Organizations to programmatically provision new AWS accounts for teams to innovate. Apply baseline security policies using Service Control Policies (SCPs) to enforce guardrails across accounts.
• Integrate with AWS IAM Identity Center to centrally manage access to these sandbox accounts.

4. Leverage Landing Zones and Reusable Templates

Establish a secure foundation with a multi-account landing zone based on AWS best practices. Use tools such as:

• AWS Control Tower Account Factory for Terraform (AFT): Provision a fully compliant landing zone according to your requirements using infrastructure as code.
• AWS CloudFormation: Create reusable templates for common architectures that adhere to security standards. Make these available via Service Catalog for developers to use.

5. Foster Open Communication and Training

Ultimately, managing shadow IT requires a cultural shift:

• Engage with business teams to understand their needs and why they may be tempted to use unapproved services. Work with them to find secure alternatives.
• Provide training on approved services, processes for requesting resources, and the risks of shadow IT. Make security engaging and relevant.
• Be transparent about the policies around shadow IT and the consequences of violations. Share examples of how shadow IT has led to security breaches.

By leveraging AWS’s powerful governance tools and following these featured strategies, you can effectively manage shadow IT risks while still enabling the agility and innovation that the cloud unlocks. The key is to automate guardrails, streamline provisioning, and work closely with builders to meet their needs in a secure manner.

In our next post, we’ll explore how to build a Cloud Center of Excellence to drive cloud governance best practices across your organization. Stay tuned!

Next Steps: In today’s cloud-driven world, ensuring meaningful security for an AWS environment is paramount for IT security leaders and the end users they protect. WEI Senior Cloud Architect & Strategist Keith Lafaso; presentsas he unveils the essential best practices to safeguard your cloud infrastructure. Listen below:

The post Shining A Light On Shadow IT: Strategies For Secure Innovation On AWS appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

This is the first installment of a series focused on AWS security. Click here to access part 2.

As businesses increasingly migrate operations to the cloud, ensuring security and efficiency becomes paramount. Cloud governance provides a structured framework that allows organizations to manage cloud services and resources effectively while minimizing risks and maximizing benefits. In this first installment of our cloud governance blog series, we will explore the fundamentals of cloud governance, the importance of implementing a robust framework, and best practices to ensure security and operational efficiency, drawing on insights from my experience as the Principal Cloud Strategist at WEI.

What Is Cloud Governance?

Cloud governance refers to the policies, procedures, and controls that organizations use to manage and secure their cloud environments. It encompasses the oversight and direction of cloud services, ensuring that they are used in a way that aligns with business objectives and regulatory requirements. Unlike traditional IT governance, cloud governance must account for the unique challenges and opportunities presented by cloud computing, such as scalability, on-demand resources, and shared responsibility with cloud service providers (CSPs).

The Importance of Cloud Governance

Effective cloud governance is essential for several reasons:

• Risk Management: By establishing clear policies and controls, organizations can mitigate security risks and ensure compliance with regulatory standards.
• Cost Optimization: Cloud governance helps prevent unnecessary expenditures by implementing cost management practices and avoiding resource sprawl.
• Operational Efficiency: A well-defined governance framework enhances the efficiency of cloud operations through automation and standardized processes.
• Strategic Alignment: Ensures that cloud services are used in a manner that supports business goals and enhances overall performance.

When I first started working with the cloud, I saw how quickly and easily developers could spin up resources. But I also saw how things could get out of control without the right governance in place, especially through the practice of Shadow IT. Many cloud architects will witness fellow colleagues using all kinds of unauthorized cloud services and apps, creating security risks and compliance issues.

This is why I’m so passionate about helping organizations find the right balance between empowering builders and maintaining control. Shadow IT refers to using IT systems, devices, software, applications, and services without explicit approval from the IT department. While it can enable employees to be more productive and innovative, it also introduces serious security risks if left unchecked. Common risks of Shadow IT include:

• Data Breaches: Sensitive corporate data could be exposed if stored in unsanctioned cloud apps
• Compliance Violations: The use of unapproved services can violate regulatory requirements such as HIPAA, PCI, etc.
• Lack of Visibility & Control: IT personnel lose visibility and control over where company data resides
• Inefficient Spending: Redundant services and lack of volume discounts can drive up costs

This is where a strong cloud governance framework comes in. By establishing approved services, enforcing policies, and monitoring usage, organizations can embrace the agility of the cloud while mitigating risks.

Cloud Governance Frameworks

Several cloud governance frameworks are available, each with its own approach to managing cloud environments. The AWS Five Pillars of a Well-Architected Framework is one of the most widely recognized. This framework provides a comprehensive set of best practices designed to help organizations build secure, high-performing, resilient, and efficient cloud infrastructure.

Best Practices for Cloud Governance

Let’s dive into some key best practices for each of the five pillars:

Security Management

• Active Security Configuration: Ensure that all security features provided by the CSP are actively configured and regularly updated. This includes access controls, encryption, and monitoring.
• Shared Responsibility: Understand and clearly define the security responsibilities shared between your organization and the CSP. Regularly assess and adjust security measures to meet evolving threats and requirements.

Cost Optimization

• Cost Management Controls: Implement basic cost management tools from day one. Use budgeting and monitoring tools to keep track of cloud expenditures.
• Avoid Resource Sprawl: Identify and eliminate unnecessary resources, such as unused virtual machines, outdated snapshots, and excessive backups. Implement policies for resource usage and cost allocation.

Operational Excellence

• Infrastructure as Code (IaC): Use IaC to automate the provisioning and management of cloud infrastructure. This ensures consistency, compliance, and the ability to replicate environments quickly.
• Continuous Monitoring: Establish monitoring systems to track performance, usage, and security metrics. Use these insights to address issues and optimize operations proactively.

Performance Efficiency

• Platform-as-a-Service (PaaS): Utilize PaaS offerings to reduce the burden of managing the underlying infrastructure. This allows your team to focus on developing and optimizing applications.
• Scalability & Flexibility: Design applications to leverage the scalability and flexibility of cloud resources. Implement auto-scaling and load balancing to handle varying workloads efficiently.

Reliability

• Failure Detection & Mitigation: Design systems that automatically detect and respond to failures. Use managed services for data redundancy and failover capabilities.
• Service Level Agreements (SLAs): Align SLAs with your reliability requirements and ensure that your cloud architecture meets the necessary uptime and performance standards.

Sustainability

• Maximize Utilization: Emphasize the importance of maximizing hardware utilization to improve energy efficiency. Optimize workloads and designs to ensure high utilization of hardware. For example, running one host at 60% utilization is more efficient than running two hosts at 30% each due to baseline power consumption. Additionally, it recommends minimizing idle resources, processing, and storage to further reduce overall energy consumption.

In the next part of our series, we’ll dive deeper into the challenges of cloud governance and explore strategies for overcoming them, including how to address shadow IT. Stay tuned!

Next Steps: In today’s cloud-driven world, ensuring meaningful security for an AWS environment is paramount for IT security leaders and the end users they protect. WEI Senior Cloud Architect & Strategist Keith Lafaso as he unveils the essential best practices to safeguard your cloud infrastructure. Listen below:

The post Ensuring Security And Efficiency With Cloud appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

Did you decide to come back for more after reading 7 Effective Practices For Multi-Cloud Cost Optimization? I’m glad you did. Now, let’s dive into the world of AWS cost optimization and explore some essential strategies to help you get the most value out of your cloud investments. In this blog post, we’ll cover a range of tips and best practices, from understanding your cost drivers to leveraging AWS tools and services for maximum efficiency. We’ll also discuss the importance of laying a solid foundation, utilizing real-time data, designing effective cost allocation strategies, and embracing a proactive approach to cloud cost management.

Know Your Cost Drivers

The first step in any cost optimization journey is understanding where your money is going. AWS provides a wealth of tools and reports to help you gain visibility into costs, such as AWS Cost Explorer and AWS Cost and Usage Reports. Take the time to analyze your spending patterns and identify the key drivers of your AWS costs, such as EC2 instances, data transfer, or storage. Once you have a clear picture of cost drivers, you can start making informed decisions about where to focus optimization efforts. For example, if you notice that a particular application or workload is consuming a significant portion of your budget, you can investigate ways to optimize its resource utilization or consider alternative architectures.

Establish a Strong Foundation

Before diving into specific cost optimization techniques, it’s crucial to establish a strong foundation for your AWS environment. This means setting up your infrastructure in a way that maximizes value from your investments, improves forecasting accuracy, and continuously measures optimization efforts.

One key aspect of laying this foundation is defining clear goals and objectives for your adoption. What business outcomes are you aiming to achieve? How will you measure success? By aligning your cost optimization strategies with your overall business goals, you can ensure that your efforts are focused and impactful.

Another essential component is establishing the right processes and behaviors within your organization. Encourage a culture of cost awareness and ownership, where teams outside of IT are empowered to make informed decisions about resource consumption. Provide training and education to help everyone understand the impact of their actions on cloud costs. A rising tide lifts all boats!

AWS Networking Workshop With Keith Lafaso

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One of the most effective ways to optimize AWS costs is to ensure that you’re using the right size and type of resources for your workloads. Overprovisioning leads to unnecessary expenses, while under provisioning negatively impacts performance and availability.

Regularly review your EC2 instances and identify opportunities to right-size them based on actual usage patterns. AWS provides tools like AWS Trusted Advisor and AWS Compute Optimizer to help you identify instances that are underutilized or overprovisioned. By adjusting your instance types and sizes, you can often achieve significant cost savings without compromising performance.

Leverage AWS Pricing Models

AWS offers a variety of pricing models to help you optimize your costs based on your usage patterns and commitments. For example, if you have predictable and steady-state workloads, you can take advantage of Reserved Instances to obtain significant discounts compared to On-Demand pricing. For workloads with flexible start and end times, Spot Instances can provide substantial cost savings of up to 90% compared to On-Demand prices.

By leveraging Spot Instances for appropriate workloads and implementing best practices like diversifying instance types and handling interruptions gracefully, you can unlock significant cost optimization opportunities.

Implement Auto-Scaling

The manual management of resources can be time-consuming and error-prone, leading to inefficiencies and wasted spend. By embracing automation and scaling techniques, you can optimize your resource utilization and costs.

Implement auto-scaling for your applications to dynamically adjust the number of instances based on demand. This ensures that you have the right amount of resources available when needed, while avoiding overprovisioning during periods of low traffic. Services like AWS Auto Scaling and Amazon EC2 Auto Scaling make it easy to define scaling policies and automatically scale your resources.

Optimize Storage and Data Transfer

Storage and data transfer costs can add up quickly, especially as your data volumes grow. To optimize your storage costs, consider using the appropriate storage classes based on your data access patterns.

For example, Amazon S3 offers different storage tiers, such as S3 Standard, S3 Infrequent Access, and S3 Glacier, each with different pricing and retrieval characteristics. Implement lifecycle policies to automatically transition objects to lower-cost storage tiers when they are infrequently accessed. This helps you optimize costs while still maintaining the required level of data durability and availability.

For data transfer, minimize costs by keeping data within the same AWS region whenever possible. Leverage services like AWS Direct Connect or AWS VPN to establish private network connections and reduce data transfer costs. If you need to serve content to a global audience, consider using Amazon CloudFront for content delivery and caching, which can help reduce data transfer costs and improve performance.

Utilize Real-Time Data and Actionable Insights

One of the biggest advantages of the cloud is access to real-time data. AWS provides a wealth of tools and services that enable you to monitor, analyze, and visualize cost and usage data. However, turning this data into actionable insights can be a challenge. We recommend to start by identifying the key metrics that matter most to your business. This could include things like cost per application, cost per customer, or cost per business unit. By focusing on the metrics that align with your goals, you can quickly identify areas for optimization.

Experiment with tools like AWS Cost Explorer and AWS Cost and Usage Reports to create visualizations and reports that make sense for your organization. Don’t be afraid to iterate and refine your approach until you find the insights that drive meaningful change.

Design Effective Cost Allocation Strategies

Effective cost allocation is essential for understanding the true value of your cloud investments and driving accountability across your organization. By accurately allocating costs to specific applications, teams, or business units, you can gain a clearer picture of where your money is being spent and identify opportunities for optimization.

When designing cost allocation strategy, consider factors like your organizational structure, business goals, and the level of granularity required. Tagging resources is a powerful way to enable fine-grained cost allocation, allowing you to slice and dice your cost data in meaningful ways. Cost allocation is not a one-time exercise. As your business evolves and your cloud usage changes, be prepared to adapt your allocation strategies to ensure they remain relevant and effective.

Embrace Proactive Cost Optimization

One of the most important shifts to make in your cost optimization journey is moving from a reactive to a proactive approach. Rather than waiting for unexpected spikes in your AWS bill to prompt action, proactively monitor and optimize your costs on an ongoing basis. Leveraging tools like AWS Budgets and AWS Cost Anomaly Detection to set up alerts and notifications when costs exceed predefined thresholds is one way to accomplish this. This allows you to quickly identify and address issues before they spiral out of control.

Regularly review your resource utilization and right-size your instances to ensure you’re not paying for more than you need. Take advantage of cost-saving opportunities like Reserved Instances and Spot Instances where appropriate.

Most importantly, make cost optimization a shared responsibility across your organization. Engage developers, operations teams, and business stakeholders in the process, and foster a culture of continuous improvement.

Continuously Monitor and Optimize

Cost optimization is an ongoing process, not a one-time event. It’s essential to continuously monitor your AWS costs and usage, and proactively identify opportunities for optimization.

Use tools like AWS Cost Explorer and AWS Budgets to track your spending, set custom budgets, and receive alerts when costs exceed predefined thresholds. This means regularly reviewing cost and usage reports to identify trends and anomalies, and to take corrective actions as needed.

Engage your development and operations teams in the cost optimization process. Encourage a culture of cost awareness and provide training and best practices to help teams make informed decisions about resource usage. Implement tagging strategies to allocate costs to specific applications, teams, or business units, fostering accountability and enabling more granular cost analysis.

Conclusion

AWS cost optimization is a multi-faceted discipline that requires a combination of technical best practices, financial acumen, and organizational alignment. By following the best practices elaborated on above, you can effectively manage AWS costs and maximize the value of cloud investments.

Remember, cost optimization is a journey, not a destination. Stay proactive, stay curious, and keep exploring new ways to optimize your AWS costs. With the right strategies and mindset, you can unlock the full potential of the cloud while keeping your expenses under control. For any questions about cost optimization, please reach out to either myself or another WEI cloud solutions expert. By embracing these cloud cost optimization strategies and leveraging WEI’s expertise, you can unlock the full potential of cloud computing while maintaining a cost-effective and sustainable cloud infrastructure.

Next Steps: Enterprises are increasingly shifting to a hybrid cloud strategy to support and modernize their operations model. Learn why this is critical to meaningful digital transformation. Download our free whitepaper, to find out more.

The post AWS Cost Optimization: 10 Strategies To Maximize Cloud Value appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

If you’re part of an organization that’s jumped on the multi-cloud bandwagon, you’ve probably realized that managing costs across various cloud platforms can be challenging. Each cloud provider comes with its own set of pricing models, billing structures, and management tools, making it a challenge to get a clear picture of your spending and spot opportunities for optimization. But don’t worry, we’ve got your back! In this blog post, we’re going to walk you through some tried-and-true strategies and best practices for optimizing costs in multi-cloud environments.

Understanding Multi-Cloud Cost Drivers

Before we dive into the nitty-gritty of optimization techniques, let’s first get a handle on the factors that drive cloud costs in a multi-cloud setup:

• Diverse Pricing Models: Each cloud provider offers a variety of pricing models, like on-demand, reserved instances, spot instances, and committed use discounts. Trying to navigate these options across multiple clouds can feel like trying to solve a Rubik’s cube blindfolded.
• Fragmented Visibility: Each cloud provider has its own dashboard and reporting tools, which can make it tough to get a bird’s eye view of the total cost of ownership (TCO) across all your clouds.
• Complex Cost Structures: Cloud providers may charge based on different metrics (think hourly, per-second, per-request), have different pricing tiers for regions, and offer different discounts. This can make cost estimation and budgeting feel like you’re trying to hit a moving target.
• Increased Management Overhead: Keeping track of spending across multiple cloud platforms can require more effort, collaboration, and potentially additional tools. It’s a bit like juggling, the more balls (or in this case, clouds) you add, the harder it gets.

AWS Workshop With WEI

Multi-Cloud cost Optimization Strategies

Now that we’ve covered the cost drivers, let’s move on to some strategies that can help you keep those costs in check:

• Consistent Tagging and Resource Allocation: Establish a consistent tagging strategy across all cloud environments. This can help you accurately attribute costs to teams, projects, or applications, improving accountability and enabling granular cost tracking and optimization.
• Automated Cost Controls: Make use of automation tools and processes to enforce budgets, set alerts for cost anomalies, and automatically scale resources based on demand or schedules. This can reduce manual effort and ensure proactive cost management.
• Rightsizing and Resource Optimization: Keep a close eye on resource utilization and leverage rightsizing recommendations to match allocated resources (like compute, storage, etc.) with actual workload demands. This can help you avoid over-provisioning or under-utilization.
• Leveraging Pricing Models: Analyze your workload characteristics and usage patterns to determine the most cost-effective pricing models (like reserved instances, spot instances, committed use discounts) across different cloud providers.
• Cloud-Native Design and Automation: Embrace cloud-native architectures and automation practices. This can ensure resources are provisioned and scaled dynamically based on demand, minimizing waste and maximizing cost-efficiency.
• Centralized Cost Management Platform: Consider implementing a centralized cost management solution. This can consolidate cost data from multiple cloud providers, giving you unified visibility, cost allocation, analysis, and optimization recommendations.
• Multi-Cloud Governance and FinOps: Establish a comprehensive multi-cloud governance framework and adopt FinOps practices. This can help align cloud spending with business objectives, enforce policies, and enable cost transparency and accountability across teams and projects.

Cloud cost optimization is an ongoing process, as your business requirements, workloads, and cloud service offerings evolve over time. Regularly reviewing and adjusting your cloud environment is essential to maintain cost-efficiency.

WEI’s cloud solutions include cost optimization engagements, where our experts work closely with your team to monitor, analyze, and optimize your cloud environment, ensuring you stay ahead of changing demands and take advantage of new cost-saving opportunities.

By embracing these cloud cost optimization strategies and leveraging WEI’s expertise, you can unlock the full potential of cloud computing while maintaining a cost-effective and sustainable cloud infrastructure. Contact WEI to learn more. 

Next Steps: Enterprises are increasingly shifting to a hybrid cloud strategy to support and modernize their operations model. Learn why this is critical to meaningful digital transformation. Download our free whitepaper, to find out more.

The post 7 Effective Practices For Multi-Cloud Cost Optimization appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

Organizations today encounter a significant challenge in handling and safeguarding data. The reasons include the inflow of various customer and business information, the widespread use of multiple devices, and the growth of remote work arrangements. As businesses increasingly rely on data for decision-making and forecasting, the need for reliable storage solutions has become important.

How can organizations protect their data and assets without making things overly complicated? Let’s discuss these challenges and learn about available solutions to keep organizations on top of their game.

Why Is Data Agility And Security Important?

Data serves as the lifeblood of organizations, whether they have a digital business model or not. Securing your critical data assets is as equally vital as maintaining the tangible aspects of your business ecosystem. Data agility and security are not mere buzzwords; they are essential elements that significantly impact businesses. Let’s explore why prioritizing these aspects is crucial for any organization.

1. Reputation Matters. Building a healthy brand reputation requires a reputable product/service, significant workforce investment, meeting consumer needs, and keeping all stakeholders/investors abreast of all significant business events/transactions. Meanwhile, customers, partners, and stakeholders also expect their sensitive information to be handled with care. Yet, can shatter even the strongest of brand reputations that took years to build. Prioritizing data security helps ensure your organization is maintaining its integrity and preserving customer trust.
2. The High Cost Of Breaches. Data breaches come with significant financial losses and long-term impact. Moreover, the damage to brand value leads to decreased revenue and customer turnout. By prioritizing data security, you invest in risk mitigation and prevention. This approach is far more cost-effective than remediation.
3. Operational Efficiency. Cybersecurity incidents disrupt productivity and business operations. When systems are compromised, employees spend valuable time firefighting instead of focusing on growth. Prioritizing security ensures minimal disruption to business operations and a proactive, long-term approach to risk management.
4. The Cloud Dilemma. Cloud adoption transforms business processes, but also introduces additional security complexities. When transitioning to the cloud, it is important to understand what the shared responsibilities are between the enterprise and the cloud provider. Directives around access controls, encryption, and continuous monitoring must be identified and implemented. Ignoring these critical measures puts data integrity at serious risk.
5. Data Agility Requires A Secure Foundation. Simply put, data agility enables an enterprise to make simple, powerful, and immediate changes to how their information is interpreted and acted upon. As organizations adapt to market changes, security checkpoints should be integrated into agile processes — whether through DevSecOps practices or continuous monitoring.

Data agility and security are symbiotic. The strength of your data security directly impacts your business’s resilience and longevity. Prioritizing both ensures your organization thrives in a dynamic digital landscape.

Enabling Data Security And Agility In Operations

When organizations aim to improve both data security and agility, they need to consider storage solutions aligned with the five strategic objectives we mentioned above. Here are the key points to focus on when selecting a comprehensive solution:

1. Data Integrity And Transparency: Maintaining data consistency and accuracy is essential for any organization’s reputation. To achieve this, preventing unauthorized access and maintaining detailed audit logs are important to ensure transparency and accountability. Solutions like HPE Alletra ensure data consistency and monitoring across distributed systems to prevent discrepancies. This robust data integrity fosters trust with both customers and regulatory bodies.
2. Simplified And Cost-Effective Security: Consider investing in a solution with file and block storage capabilities while streamlining data protection features into a single platform. This approach reduces the costs associated with managing separate security tools. Furthermore, if the platform includes predictive analytics, it can proactively detect threats and minimize the risk of breaches.
3. Automation And Rapid Recovery: Automated data management boosts business productivity and ensures faster recovery during security incidents.
4. Cloud Security Reinforcement: You get value in your investment when the storage solution integrates seamlessly with cloud environments. Key features should include encryption and fine-grained access policies, which are especially useful when you migrate critical applications to the cloud. Organizations benefit from data confidentiality and compliance across all their data, regardless of where it resides.
5. Agility And DevSecOps Synergy: When organizations invest in proper storage solutions like HPE Alletra, they benefit from its agile data movement features. These allow seamless and secure transfers across different storage tiers. For organizations engaged in data-intensive projects, secure data movement during agile development cycles should be a priority without compromising safety.

Businesses flourish in a data-centric environment when they choose to invest in reliable storage and security platforms.

Which Solution Should You Consider?

Reliable data protection is significant for any organization. Recognizing this critical need, HPE developed , a versatile storage platform designed to meet the evolving demands of businesses.

seamlessly integrates to streamline IT operations. With support for Network File System (NFS) and Server Message Block (SMB) protocols, it ensures scalability and facilitates efficient collaboration and data sharing across the organization.

For critical workloads, deliver optimal responsiveness. Whether handling databases, virtual machines, or other performance-intensive tasks, Alletra provides the necessary speed and reliability. Moreover, such as snapshots, replication, and encryption mitigate various threats and enhance overall security.

HPE GreenLake edge-to-cloud integration enhances the value of Alletra by offering users a consumption-based model for greater flexibility. Additionally, the platform ensures intuitive and consistent management across various deployment environments. This seamless connectivity between on-premises data centers and public clouds optimizes performance and agility. Furthermore, enhances the ecosystem by offering high availability, data reduction, and predictive analytics capabilities.

HPE Alletra empowers businesses with data agility, robust security, and innovation. As organizations navigate the complexities of the digital era, HPE serves as a reliable partner in each business’s transformative journey.

Final Thoughts

HPE Alletra, a robust data management solution, empowers businesses by enhancing data agility, security, and innovation. As a leading IT solutions provider, WEI collaborates with HPE to streamline infrastructure and enable data-first modernization. Contact our team of experts, as we’re ready to support your data agility and security goals.

Next steps: The IT consumption model allows businesses with an on-prem footprint to benefit from the cloud. This includes networking, storage, data protection, etc. Learn more in our free tech brief below:

The post Five Reasons To Prioritize Data Agility and Security appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

Have you ever cleaned your house and identified random items scattered around or realized an appliance needs maintenance? Businesses experience similar scenarios when dealing with data and workloads. It’s like navigating a cluttered space in desperate need of organization. That’s where HPE GreenLake comes in. This technology can be your personal organization guru and bring order to your data.

With the introduction of Alletra MP, HPE has strengthened its brand strategy and enhanced the power of HPE GreenLake. In the following sections, we will delve into HPE GreenLake’s storage options and guide you through the process of selecting the optimal solution for your business needs.

HPE GreenLake For Block Storage

offers a robust and scalable solution for midrange mission-critical storage needs. It introduces a unique disaggregated, scale-out block storage approach to ensure 100% data availability while surpassing limitations of traditional storage-as-a-service setups.

HPE GreenLake for Block Storage is suited for businesses looking for:

1. Cost-Effective Transformation: The service offers an at a reasonable, midrange price point.
2. AI-Driven Excellence: Utilizes AIOps for autonomous operations, minimizing downtime and maintaining consistent application performance.
3. Flexible Consumption: HPE GreenLake for Block Storage uses a flexible consumption model, offering upfront purchases or monthly subscriptions tailored to each business’s needs and budget.
4. Uncompromised Performance: With various block storage tiers, it ensures optimal performance and cloud operational benefits across mission-critical to general-purpose applications to promote operational simplicity and agility.

Tailored to deliver cloud-like on-premises storage, this service leverages HPE Alletra storage platforms to effectively support applications that rely on . It extends the operational model of the cloud to on-premises, colocation, and edge workloads, all managed through a single, self-service, and user-friendly cloud.

This simplicity in data management across various applications through enterprise block storage enhances agility and streamlines new app deployment. The AI-managed self-service agility feature further boosts both data management and infrastructure efficiency to accommodate all application types.

HPE GreenLake For File Storage

empowers data-intensive tasks with speed and agility. This storage solution offers scalable enterprise performance, reliable edge-to-cloud experience, and a guaranteed all-NVMe performance across varying data scales.

This service offers a multitude of benefits for data-driven enterprises, including:

1. Scalability And Future-Proofing: Fueled by and HPE Alletra Storage MP hardware, the File Storage’s exabyte-scale architecture is capable of scaling performance and capacity effortlessly at a lower cost.
2. Simplify With Cloud: Effortlessly manage, monitor, and safeguard extensive file data throughout your hybrid cloud using unified solutions. Additionally, workloads are made faster through automated onboarding and simple file share establishment, including seamless upgrades and proactive support.
3. Empower Teams: HPE GreenLake for File Storage boosts the speed of data-intensive workloads and empowers collaboration in the global namespace, freeing data scientists and application owners from legacy chains.
4. Resiliency And Efficiency: This tool accelerates innovation with a faster read performance of 100s of GB/second and ensures 99.9999% availability.

Data drives contemporary businesses and operations, and it is important to store and access insights efficiently. HPE GreenLake for File Storage addresses this need by offering rapid access to AI, machine learning, gig data, deep learning, high-performance computing, life sciences, financial analytics, media and entertainment, extensive data lakes, and data archives.

Which GreenLake Is Right For Your Business?

If your business relies heavily on data, HPE GreenLake for File Storage offers ideal scalability and enterprise-grade performance. This service streamlines data management with a user-friendly cloud interface and faster time to insights, which is important for data scientists and app owners.

On the other hand, HPE GreenLake for Block Storage offers essential storage features at mid-range budget-friendly costs. Being the pioneer of storage-as-a-service, it delivers a self-service framework and a certified 100% availability for mission-critical setups. This transition can lead to simplified storage management, operational streamlining, and heightened agility across your ecosystem.

Choosing the best option really depends on the needs of your business. These newly introduced file and block solutions utilize the versatile Alletra Storage MP architecture, enabling efficient data storage, management, and security across hybrid cloud environments.

Final Thoughts

Just as maintaining a clean and fully functional home is essential, effective data storage and management play a vital role in today’s evolving digital landscape. HPE GreenLake for File and Block Storage are transformative solutions that offer scalability, agility, and performance while simplifying operations. Contact one of our storage solutions experts at WEI to learn how you can enhance productivity and maximize resources by harnessing the power of these solutions.

Next steps: The future of data storage is here with the HPE Alletra Storage platform supporting both block and file stores, along with the HPE GreenLake edge-to-cloud platform that enables workload administration and data protection from a single-pane-of-glass. Learn more by downloading our free tech brief, Eliminate Costly Data Silos For Data-First Modernization.

The post Navigating Data Management: Which HPE GreenLake Storage Solution Is Best For You? appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

Cloud operations have significantly reshaped digital transformation, especially storage-as-a-service. The focus for storage management is shifting from infrastructure to applications, revolutionizing how businesses handle data. Despite these advancements, challenges such as costly services, data availability rates, scalability, and complex management require careful consideration and resolution.

Fortunately, provides storage solutions to ensure efficient and accelerated digital transformation. With a 100% data availability guarantee and excellent value for money, the service is integrated into an expanded , offering self-service agility for all applications with enterprise block storage to simplify data management.

As with any new service, the primary question is: “Why do I need HPE GreenLake for Block Storage and HPE Alletra?” Let’s explore how these services simplify and modernize operations.

Get To Know HPE Alletra MP

HPE, an industry leader in storage with brands like Primera, Nimble, 3PAR, and Apollo, is now embracing a streamlined brand strategy with HPE Alletra MP. This platform is a key component of HPE GreenLake for Block Storage that promises to deliver comprehensive data management solutions to businesses of any size.

HPE Alletra supports the following storage protocols without the need for new hardware:

• Traditional file storage for documents
• Block storage for database applications
• Object storage for unstructured data

Through its versatile and flexible architecture, this solution handles various types of data storage, making it a comprehensive response to diverse storage needs.

Enhanced Features Of HPE GreenLake For Block Storage

HPE GreenLake for Block Storage is the first modular disaggregated storage service that delivers a cloud-operational experience to your business. This cutting-edge solution enables trusted users within your organization to self-provision storage, paving the way for a seamless edge-to-cloud transformation.

If you run the solution through HPE Alletra you will receive an array of benefits for your business, including:

1. Intelligent Cloud Experience: HPE Alletra simplifies management by providing an AI-powered cloud experience on-premises, empowering businesses with smart self-service provisioning while ensuring workload protection and management.
2. Uncompromised App Performance: HPE GreenLake on Alletra is equipped with enterprise-grade storage that meets every service-level agreement (SLA) across the hybrid cloud to provide a 100% data availability guarantee. This ensures fast performance and ultra-low latency for business applications, even at scale.
3. Flexible Options: As an as-a-service option, Alletra offers flexibility in deployment and subscription depending on the organization’s budget and goals. Subscription models like GreenLake and products like Alletra Storage MP highlight the trend towards commoditization, offering technology without the need for extensive management.
4. Unified Management Console: This feature offers global data management and monitoring insights from any device or location. Users can easily access data on app storage usage, volume performance, and overall consumption.
5. Data Protection: HPE Alletra offers robust data protection through replication and restore point management.
6. Efficiency: The service enables seamless and independent scaling of performance and capacity by deploying block or file workloads on a single multi-protocol architecture. Furthermore, it facilitates faster deployment of new applications and services with less overhead. This enables teams to focus on more strategic business initiatives and reduces worries about managing storage infrastructure.
7. Simplified Data Management: HPE Alletra offers self-service agility for all apps with enterprise block storage built on an expanded HPE Alletra, making data management simpler.

HPE GreenLake for Block Storage transforms storage services, providing a cloud-like experience for your enterprise. This allows your team to prioritize strategic initiatives while ensuring dependable, high-performance storage in hybrid environments.

Final Thoughts

HPE’s groundbreaking solutions, such as GreenLake and Alletra MP, have taken the lead in storage management. These offerings showcase their adaptability to incorporate specialized technologies to meet diverse business requirements. Alletra Storage MP effortlessly integrates with software-defined storage, highlighting the significance of hardware-software compatibility.

As with any solution, it’s important for businesses to assess their individual needs and goals. Contact our experts at WEI to learn more about how HPE Alletra and HPE GreenLake for Block Storage can enhance your data management.

Next steps: The future of data storage is here with the HPE Alletra Storage platform supporting both block and file stores, along with the HPE GreenLake edge-to-cloud platform that enables workload administration and data protection from a single-pane-of-glass. Learn more by downloading our free tech brief, Eliminate Costly Data Silos For Data-First Modernization.

The post Why You Should Invest In HPE Alletra For A Robust Digital Transformation appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

In today’s digital landscape, managing computing infrastructure has become an increasingly complex and challenging task. As more businesses move their data and applications to the cloud, concerns around cloud security and compliance have become increasingly prevalent. Public cloud providers, such as Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP), offer a range of security features and tools to protect their customers’ data. Despite these efforts, breaches may occur and businesses face limitations of liabilities from third-party providers in such events. One solution that addresses these concerns originates from HPE GreenLake.

With HPE GreenLake, businesses can access a range of services that offer a unique approach to cloud computing: combining the benefits of a public cloud with the security and control of a private cloud.

1. Unified Management Solution For Your Cloud Environments

HPE GreenLake for provides a unified compute management solution that enables IT professionals to manage thousands of servers located anywhere. Whether it’s remote sites or edge systems, data centers, or hybrid cloud environments, HPE GreenLake PCE delivers a cloud experience that accelerates time to market with policy-based automation and simplifies lifecycle operations.

For example, an organization might use a public cloud environment for non-sensitive workloads that require high scalability and flexibility while using a private cloud environment for sensitive data and mission-critical applications. makes it easy to manage and optimize these cloud environments, providing a single dashboard that allows organizations to monitor and manage their resources across multiple clouds.

There’s also a comprehensive monitoring and analysis tool that enables system administrators to track server health status and firmware compliance. With its intelligent capabilities, the tool delivers insights that empower users to drive the next actions and make informed decisions.

2. Cost-Efficient Cloud Computing Platform

Businesses are always concerned about IT costs, and HPE GreenLake Private Cloud Enterprise is a game-changer for companies looking to optimize their IT operations. The system eliminates the need for on-premise hardware and software purchases and maintenance. The HPE GreenLake Private Cloud solution provides a secure and reliable platform that can be customized to meet the most demanding business requirements. Businesses no longer need to worry about managing complex IT infrastructure, allowing them to focus on what really matters: innovation and growth.

Gone are the days of centralized data lakes. HPE GreenLake PCE is pre-assembled and ready to run, delivering an all-in-one cloud computing management solution that can be hosted in a colocation for a more complete experience. Additionally, businesses don’t need to worry about hidden charges, as PCE users can take advantage of a self-serve and pay-per-use solution that enables companies to free up capital, boost operational and financial flexibility, and maximize manpower to accelerate innovation.

3. Cloud Agility

One of the key advantages of HPE GreenLake is its ability to securely bring cloud agility to distributed computing infrastructure. This eliminates the need for manual tasks like updating firmware and provides automated notifications that give users workload optimization guidance that can be easily implemented. The dashboard enables users to see which hardware needs updating or servicing.

4. Enhanced Cloud Computing Security And Compliance

HPE GreenLake is engineered with enterprise DNA and zero-trust security to bring the cloud to you. Unlike public cloud providers, this platform offers businesses the ability to customize their security policies and controls, ensuring that their data is protected according to their specific requirements. Additionally, HPE GreenLake is equipped with compliance certifications such as HIPAA and PCI-DSS, which demonstrate that their services meet the highest standards of security and compliance.

Final Thoughts

HPE GreenLake is ultimately an innovative solution providing IT professionals with the flexibility and agility needed to respond to business needs. As a trusted HPE partner for over a decade, WEI is uniquely positioned to help businesses navigate the complexities of cloud adoption. Our team of experts can conduct cloud assessments to determine the optimal mix of cloud and on-premises resources to meet your specific business requirements.

Contact us today and let WEI empower your business to reach its full potential with modernized, efficient, and cost-effective cloud computing management.

Next Steps: Experts from Hewlett Packard Enterprise and WEI HPE GreenLake, powered by HPE ProLiant Gen11 Servers with 4th Gen Intel Xeon Scalable processors, delivers:

• Simplified compute operations
• Compute resources for any workload
• Built-in buffer capacity for scalability

The post Four Reasons Why HPE GreenLake Is Ideal For Optimal Cloud Compute Management appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

It’s Tuesday and you are waiting for work colleagues to join you at lunch for a quick reprieve from the office. You pull out your smartphone and begin browsing to pass the time. An interesting technology article catches your eye and you tap to access the page. Unfortunately, the session times out and your engagement with that journey ends prematurely. Does this experience sound familiar?

According to a recent Google study, 53% of mobile users will abandon a session if it takes longer than 3 seconds to load. Fair or not, this is the bar that has been set, and serves as a reminder to enterprises of how important it is to modernize applications. Once users leave you behind, it is difficult to get them back as 79% of participants in the same mentioned study said they will not return after a negative experience.

What Makes an Application Modern Today?

Applications used to consist of one singular block of monolithic interdependent code hosted on a single virtual machine (VM), a design considered innovative in its day. But things are different now. To gain greater agility and flexibility, companies hastily transitioned to microservices and container environments. Here, a single application is broken up into small individual modules where each module performs a single defined task or capability. These services are then coupled together to communicate with one another, creating a highly flexible coalition of services that we call the modern application. Here, all necessary components are then contained within a single container.

Benefits of Application Modernization

Application modernization provides greater flexibility as microservices can be deployed in different programing languages and technologies. Modern applications are far more resilient as containers can be easily migrated or deployed to other systems. Updating is easier as each service can be updated and deployed independently of others and new application features and functionality can be released more rapidly to market. Containers and the microservices they host can be scaled up or down to meet fluctuating workload demands in real time.

The 6 R’s of Application Modernization

So, how do you go about updating monolithic and legacy applications to the modern era? AWS created a set of six best practice strategy options that be applied to any business application you may consider modernizing.

1. Retain: Keep the existing application in its present form as it still meets the needs of the organization.
2. Refactor: Improve the code and architecture of the existing application to attain greater scalability and flexibility.
3. Rehost: Move the existing application to a new infrastructure, such as a cloud platform, without changing its code.
4. Replace: Replace the existing application with a pre-built solution or different technology.
5. Rebuild: Create a new application from scratch to replace the existing one.
6. Retire: Discontinue support for the application and retire it. The application is no longer needed

The Paradox of Application Modernization

The speed, dynamics, and scalability of modernized applications will outpace and out scale traditional management and monitoring tools. While they may have been sufficient for an on-prem legacy environment, their product cycle is ending. If your applications are delivering workloads differently, it only makes sense that they need to be managed differently. It isn’t just programmers who need greater agility to increase the velocity of new feature releases and updates. The application admins need greater speed and agility to ensure application environments are always optimized. If not, they will fail to attain the full benefit potential of modernization efforts, thus diminishing ROI and risking losing users along the way.

Monitoring vs. Observability

Monitoring and observability may sound alike, but one is superior in scope to the other. Monitoring was appropriate for traditional on-prem environments. It helped IT personnel track problems, issues, and performance using a list of prescribed metrics that provided a snapshot of the systems that comprised the application environment.

While sufficient for the application models of yesteryear, monitoring no longer cuts it for today’s cloud application environments. The architecture that interconnects an application’s services and interdependencies together is highly complex and visibility is a challenge. Enter observability.

Observability takes monitoring to the next level by aggregating and analyzing data from multiple sources and uses AI intelligence to put the puzzle pieces together. Observability isn’t restricted to alerts and metrics. It also provides insights and context to your environment so IT can properly understand the issues at hand. While monitoring provides a view into your application environment, observability provides full comprehension and understanding.

Intelligent Observability with Dynatrace and Davis

Meet Davis (short for Davis AI-Powered Detection and Response). Davis is part of the Dynatrace performance monitoring and management solution platform for modern applications and cloud environments. Davis uses AI and ML to identify and prioritize issues and security risks in real-time on its own. Besides delivering comprehensive contextual insights to your support team, the platform automatically remediates issues before users are affected and IT can review them. Don’t just upgrade your applications to the modern era, upgrade your application operational tools in tandem with Dynatrace.

Next Steps: Thanks to Dynatrace, full stack application analytics and observability is fully achievable for your AWS-hosted application environments. Converting terabytes of data about your cloud application environment and converting it to real answers and actionable, intelligent automation, companies can maximize their modernized application strategies. We expand on this in our free tech brief,

In this tech brief, we expand on:

• Application Modernization
• Cloud scalability
• Monitoring vs. observability

The post Application Management: Keep Pace With Your Application Modernization appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

The rise of cloud-based computing coincides with the increase of as-a-service models. Many companies realize that transitioning to this business model offers significant opportunities for business development, growth, and financial transparency. Enterprises adding new technologies to IT infrastructure can stretch existing networks beyond capacity. This is why many companies are finding that Network-as-a-Service (NaaS) is exactly what they need to fulfill their business objectives. In this article, we discuss the basics of NaaS, its benefits, and why these advantages can help with the costliness and complexity of managing multiple networks within your organization.

The Basics Of NaaS

Before we get into the benefits of NaaS, let’s briefly review what this cloud service model entails. explains, “NaaS allows customers to operate their own networks without maintaining their own networking infrastructure. Like other cloud services, NaaS vendors run networking functions using software, essentially allowing companies to set up their own networks entirely without hardware. All they need is Internet connectivity.” This emerging model can give organizations much-needed flexibility. Instead of buying and installing rigid network hardware that eventually ages, businesses can pay a monthly subscription for network services.

Essentially, those who use NaaS can more easily move network infrastructure to the cloud allowing users to operate their own networks without maintaining their own networking infrastructure. The NaaS model can bring countless benefits to organizations of all sizes and the Networking solution can be an incredibly helpful resource.

The Benefits Of NaaS

NaaS simplifies management of technologies and is cheaper to operate than traditional network infrastructure. It can provide organizations with the flexibility and agility needed by keeping up with the rapid and constant changes in IT. As HPE GreenLake for Networking points out, “To put this in context, the last 8 years has seen us jump from Wi-Fi 5 through Wi-Fi 6 and now into Wi-Fi 6E. Technology iterates quickly, as do business requirements.” NaaS can help your enterprise stay ahead of the curve.

No matter what size of office you run, NaaS offers scalable solutions to support any business from federal agencies, healthcare sectors, education, and much more. HPE GreenLake for Networking provides all of these advantages and then some. A few examples include:

1. Lower Cost

Considering that we are in a post-pandemic era where enterprises expect more and more out of a limited IT budget, this particular benefit could be the biggest of all. NaaS reduces numerous IT costs including infrastructure, hardware, software and operations. This service also offers flexibility with monthly subscriptions instead of being charged large networking costs all at once, allowing for a more predictable budget. This consumption model allows for better transparency when balancing your annual budget.

2. Optimizes Performance

Optimization is a common challenge for organizations that are looking to digitally transform. NaaS can ensure your network operates efficiently by determining how capable it is of supporting the amount of traffic you are getting. Your provider can then make any necessary adjustments.

3. Proactive Network Management

Many organizations practice a reactive maintenance strategy. This can lead to unexpected downtime, especially when dealing with the network demands of modern enterprises. Instead of having your IT team spend a significant amount of time on troubleshooting the network, NaaS solutions can and will predict network issues early on with proactive monitoring. In regards to HPE GreenLake for Networking, a reports, “Interviewed customers noted a significant decrease in time-to-market for the global IT projects after the HPE GreenLake investment.” This survey found that GreenLake customers could reduce deployment of global IT projects by 75%.

4. Improved Security

Data breaches are at an all-time high with one ransomware attack every in 2022, which is an increase of 20% compared to 2019. These attacks are a concern for businesses of every size. However, one of the many benefits of NaaS is that it helps protect sensitive data in any industry by implementing best practices for IT security. HPE GreenLake for Networking can also provide detailed insights in order to make sure your network is at optimal operating standards and free of security vulnerabilities.

Conclusion

In general, implementing Network-as-a-Service has a variety of advantages. Enterprises are moving to the cloud every day. As such, they will need to determine how their data will be networked. NaaS enables you to get the network infrastructure help your organization needs and a model you can afford. It’s a terrific way to transform your business, optimize processes, increase security, and more.

The overall benefits of increasing agility and reducing network complexity enable organizations to have optimized networks that help dynamic environments grow. Contact the networking experts at WEI to find out how you can take advantage of this as a service model for your organization.

Next Steps: Digitally transforming your company can become less challenging with HPE Aruba Networking’s flexible approach to networking. Learn more about how NaaS can take your network performance to the next level by downloading our white paper titled, “.”

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Network as a Service (NaaS) offers many advantages for network management teams such as flexibility and increased customization. It is an important way for companies to configure their network infrastructure and allows customers to operate their own networks without the clunky hardware; all that is needed is internet connectivity. As the technology world continues its shift in the “as a service” era, this standardized NaaS offering that HPE GreenLake for Networking makes possible should come as no surprise in GreenLake’s latest expansion. It is the first standardized version of NaaS, a breakthrough for seamless cloud services. In this article we review the benefits of NaaS, the eight new enterprise NaaS offerings from HPE GreenLake for Networking, and how they can improve network application and performance management.

The Advantages Of NaaS

This spring’s groundbreaking release of the GreenLake cloud service comes at an ideal time with NaaS adoption on the rise. According to the 2022 IDC NaaS Survey, 37% of organizations across the globe have already deployed NaaS for cloud or edge use cases, and another 40% plan to deploy NaaS within the next 24 months. Given its many advantages, it’s no surprise that a large number of enterprises are utilizing NaaS. Cloud services like HPE GreenLake offer more flexibility and greater customization since changes are made to the network via software and not hardware, ultimately giving enterprises the ability to manage multiple networking domains. Additionally, NaaS makes it possible for providers to offer both networking and security services, creating a more secure network infrastructure.

Another advantage of NaaS is the improved quality of service. With enhanced network management, customers can focus on the quality of their work without being hindered by IT issues. The right NaaS partner will help you optimize your network streams, ensuring your data is getting to the cloud correctly.

NaaS is exactly what businesses need to fulfill their objectives and grow. Not only does it offer more flexibility and security, but it also reduces many IT costs. The right NaaS partner can make their digital transformation process as smooth as possible, minimizing expenses as you implement new processes and equipment. Another way costs can be reduced is through a recurring subscription-based fee that HPE GreenLake offers. You can learn more about the benefits of HPE GreenLake for Networking by reading our article that lists the six essential reasons companies should consider this type of cloud service.

Eight New NaaS Offerings From HPE GreenLake for Networking And Their Benefits

With the announcement of eight new standardized offerings from HPE GreenLake for Networking package is one of the most innovative edge to cloud platforms on the market today. The offerings are:

1. Indoor Wireless as a Service
2. Outdoor Wireless as a Service
3. Remote Wireless as a Service
4. Wired Access as a Service
5. Wired Aggregation as a Service
6. Wired Core as a Service
7. SD-Branch as a Service
8. HPE Aruba Networking User Experience Insight (UXI)

These eight new NaaS offerings are essentially bundled packages that will enable partners to design and deliver service packages straight to the customers, allowing them to build around whichever service is needed with subscription models. This is essential for those who are looking for a networking solution aligned with their need for a flexible and dynamic network. Maintaining a network is a substantial investment for a company, so one of the biggest advantages of this opportunity is flexibility.

The new services also help improve customer satisfaction since there is a growing demand for NaaS. These offerings provide unprecedented levels of flexibility and speed, leading to an accelerated time to revenue.

The HPE GreenLake services simplify the process of obtaining and implementing NaaS and allow customers to align network spend to usage needs while also ensuring the network is ready to support business objectives. When businesses apply these offerings, they will be able to ensure their network is always ready to support business goals that need to quickly adapt.

Most organizations certainly saw the need for flexibility when COVID-19 created the urgent need to support a large number of employees working from home. The necessity to constantly adapt has driven a greater interest in service options like HPE GreenLake to help enterprises with central network management and security, which are some of the key factors of NaaS.

Implementing NaaS has a variety of advantages: cutting costs, quality of service, maximizing your performance and more. If you’re looking to better your network management, contact WEI to get started.

Next Steps: Download and read our free white paper, “.”

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