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.

Enterprise technology vendors bombard IT leaders everywhere with messaging that emphasizes the value or added value that their solutions provide. However, value is an open-ended term, and as a consequence, eventually loses its effectiveness.

On the other hand, measured value is a whole other matter. The ability to assign a quantitative value to a respective solution allows for more informed decision making. That’s why Juniper Networks commissioned to conduct a Total Economic Impact (TEI) study to examine the potential return on investment (ROI) that an organization might realize from a Juniper Apstra deployment.

Juniper Apstra is an intent-based networking (IBN) software-based solution that automates and validates everyday processes that make up the design, deployment, and operational stages of a large data center. The stages are often referred to as Day 0 through Day 2+. While it certainly works with other Juniper Network switches and products, it is vendor agnostic, thus providing deployment and management agility for those that utilize it.

In its study, Forrester interviewed four separate enterprises and then aggregated the collected data into a single composite organization. This organization utilized two major production centers, employed 7,500 people, and earned $3 billion in annual revenue. Prior to their Juniper Apstra implementations, all four organizations struggled with the typical challenges faced by many enterprises today:

• Inefficient design processes
• Overreliance on manual configuration tasks
• Endless event tracking
• Perpetual system updates that absorbed too much time away from understaffed IT teams

Day 0: Design Cost Savings

Time is money, especially when quantifying the time spent for an elongated IT project. The Forrester study showed that Juniper Apstra reduced the number of FTE hours required in the design phase of a new data center by 60%. By shrinking requirement scoping and design time, Forrester was able to quantify a savings of $73,000 within the first two years. Much of these savings were due to the preconfigured templates that designers can utilize without any preparation on their part. After all, you don’t want your high-priced engineers creating their own templates.

Day 1: Deployment Savings

Deployments never seem to go as smoothly as expected. Thankfully, Juniper Apstra can ensure that the deployment of your data center goes as planned. That’s because every device configuration is validated before deployment to ensure that the results match the intent of the configuration. Configurations are automatically generated so there’s no opportunity of fat fingering a device. Juniper Apstra also ensures that all cabling is in place correctly.

To sum up Day 1, Apstra eliminates all the “gotchas” that usually plague deployments. And all those “gotchas” represent real, precious dollars. The Forrester study estimates that implementation time can be reduced from 24 hours to 2 hours, per device, equating to a cost savings of $72,000 over the course of three years.

Day 2: Operational Savings

The brunt of savings takes place once the data center is operational, $448,000 to be exact, according to the study. Much of these savings is due to the reduced reliance on senior-level engineers that data centers have traditionally depended on to remain running. Forrester estimates that organizations can expect a 60% reduction in FTE hours, equating to nearly 2,500 labor hours less per year for their composite organization. That’s because so many actions can be automated with the Juniper Apstra platform. No more script writing or swiveling admin consoles to multitask!

Tool Replacement Cost Savings

IT teams have traditionally used multiple third-party tool sets to manage the data center. Forrester assigned a license cost of $80,000 as the average annual license cost per tool. On average, Juniper Apstra replaces two legacy tools that also provide far more functionality. In addition, IT personnel don’t have to be trained in future third party tools and managers don’t have to spend time procuring them. All of this constitutes a sizable expected savings rate of $358,107 over a three-year period.

Creating Real, Measurable Value

The Juniper Apstra intent-based networking solution is an example of the commitment that Juniper has toward creating real, measurable value for its customers. This is substantiated by a study conducted by IDC in which they interviewed companies worldwide that have deployed Juniper products and technology solutions in their data centers. Organizations that participated in the study had just over 5,400 IT users on average and hosted 100 business applications. In addition to non-quantitative benefits such as greater agility and reliability, IDC calculated a savings of $51,121 per 100 internal application users, constituting a $2.77 million savings on average. Study participants experienced a 361% ROI over 5 years, a 56% cost reduction in operational costs and an 11-month payback period.

Conclusion

While value may be a relative term, the measurable value that Juniper delivers with their product line is substantiated and quantified. Juniper Apstra is the latest example of how intent-based networking is revolutionizing how companies design, deploy and manage the modernized data center today. Of course, cost savings should never be the sole reason to decide on a technology solution. The value of Juniper Apstra goes far beyond any quantifiable formula.

Juniper Apstra ensures that the intent of your data center matches your business intentions so that your data center performs as first envisioned. With Juniper Apstra, you can realize the power of intent along with the cost savings of automated analytics. Find out more about this powerful combination by contacting a WEI IBN expert today.

Next Steps: to learn how Juniper Apstra relieves the pain points mentioned above, staying the course with your network, and how to achieve cost savings across your network’s lifecycle.

The post Four Ways IBN Creates Measurable Business Value appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

The common idiom, “Be as easy as one-two-three” is well embedded into our culture. It denotes that something is easy, simple, or intuitive enough to the point that it doesn’t require a serious amount of skill or effort. In turn, having the capability to break complex projects into shorter, more digestible three-step processes is something that modern professionals desire.

Enter Juniper Networks and its acquisition of Something that Juniper set out to achieve with their acquisition is taking on the mammoth task of creating a modernized data center and simplifying it. Juniper Apstra is a software-only, multi-vendor, intent-based networking solution that helps IT teams design and operate a modern day data center or campus fabric. Ultimately, it provides an organized means to help ensure that your project falls well within its projected window and meets your prescribed business objectives.

The Power of Intent-Based Networking

A lot of time is spent on advocating for the benefits of intent-based networking. Juniper Apstra helps translate business intent and technical objectives into policies and device configurations. This ensures that the data center is servicing the needs of your business. We are well past the era of technology wagging the tail of the dog. Business must drive technology today, and that starts with the data center. At WEI, we’ve talked a lot about the advantages of a network that is intent-based driven. Juniper Apstra is the only intent-based networking technology that is vendor agnostic for both hardware and device operating system. But you can’t tell the full story of Apstra without mentioning how it breaks a data center project into incremental chunks comprised of these same three steps: create, validate, and deploy.

Everything Must be Validated

It is relatively easy to create something. The challenge is creating something that meets your initial expectations. If not, the creation process is wasted. That’s where validation comes in. If your data center must match up with the objectives and needs of the business it supports, then every idea must be validated before it becomes implemented. For example, Apstra uses pre-condition validation to substantiate an initial request such as a new VLAN or security policy by examining all possible repercussions and whether the predicted result aligns with the initial intent.

Validation can also be extended into operations as well. For instance, is it okay to put a virtual host server into maintenance mode at this precise moment? Then we have post-condition validation, or what Apstra refers to as real-time expectations validation. Here, Apstra utilizes telemetry data and analytics to perform real-time validation checks to ensure that the proposed change achieved the desired result. In summary, every action affects the data center must first be validated before being deployed. It’s then continually validated until an instance occurs that no longer matches the original intent for its creation, which constitutes a new change.

Rinse And Repeat

We are not alluding that designing, creating, or operating a data center is easy. Today’s data centers are highly complex with many moving parts. And that’s where the is found – the solution breaks your project into standard phases with each phase comprised of specific activities. For instance, the end objective during the design phase is to create a blueprint. During the blueprint creation process, the necessary device and policy configurations are created automatically and then validated. Once validated, the designer can then commit them to the configuration at which time they are pushed out as an abstraction layer that is vendor neutral. Once the vendor models have been defined, Apstra will utilize zero-touch provisioning to configure all your devices while reducing the chance for human error.

The blueprint creation process is broken into multiple phases. You may want to begin by outlining your required leaf and spine switches and defining their ports. Next, you’ll design your racks, detailing things such as subnet allocation schemes, layer 2 application segments and layer 3 routing domains. You can then make rack accommodations for your servers. Each individual rack can be saved as a template that can be used repeatedly to save time. Before a template is saved, Apstra reviews it to ensure that you have all ports accounted for and that every server has pre-conditioned connectivity. All of this is done using an easy-to-use graphical user interface that makes it simple to maneuver and manage.

The entire blueprint creation process is a constant cycle of create, validate, and deploy. This rinse and repeat process reduces the need for costly troubleshooting down the road once items are in place because everything has been properly tested beforehand. Think of Apstra as your test environment — without the expense of creating one. Of course, there is bound to be a glitch or two, but the automated perpetual testing of the Apstra system will be detected and notify you.

Conclusion

When you build a data center, it is important to stay focused on the big picture. It is not about configuring devices, but rather configuring the entire fabric of your data center to ensure optimum operability. This is what Apstra does. It provides the disciplined simplicity that IT support teams yearn for today, and WEI can help your team realize this.

Next Steps: Whether you are responding to evolving workloads and performance needs or changing scalability and resiliency requirements, chances are your enterprise will undergo a data center migration at some point. Download our white paper, and learn:

• The challenges of inevitable data center migrations
• How to incrementally build and validate blueprints
• How Juniper Apstra executes your intent
• Apstra automated data center deployment service

The post Create, Validate, Deploy: Apstra’s 3-Step Process appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

Rome wasn’t built in a day and There’s a great deal of complexity and moving parts to consider along with many potential pain points that cause delays. That’s why the design phase is so critical. Whether you are constructing a data center or erecting a building, you need a blueprint to guide your crew throughout the process. A data center blueprint is more than just drawing equipment racks with mounted devices. It needs to include granular details such as IP address pools, VLAN IDs, routing protocols, and security policies – all of which must be pushed out in the form of configuration settings for all interconnected devices.

Sounds like an arduous process, doesn’t it? It can be if you don’t have a system in place to guide you. We’ve identified to be that essential system that provides the needed guidance, however. It’s an intent-based multi-vendor solution that automates and validates the process of designing and deploying your next data center project. Juniper Apstra will also assist you in operating and managing your data center throughout its life cycle, but let’s not get ahead of ourselves just yet.

The Basic Process of Juniper Apstra

There are two fundamental aspects of the intent-based networking platform for creating a blueprint: intent fulfillment and intent assurance. Intent fulfillment means defining what the intent is so that the data center aligns properly with business objectives. Meanwhile, intent assurance involves validating the design elements before any configurations or settings are deployed. The entire process can be segmented into these five steps:

1. Define the intent for the project.
2. Translate intent into a series of prescriptive network configurations.
3. Verify that the changes are valid prior to deployment.
4. Deploy the verified configurations.
5. Monitor the network state to ensure continuous compliance with the intent and make changes, if necessary.

Juniper Apstra installs on more than just one virtual machine and is accessed using a web browser. You then start the blueprint creation process using preconfigured or custom templates. As the blueprint is created, Apstra creates the necessary configurations for your devices.

Designing Your Switches and Servers

The initial design steps are created using an abstraction layer that eliminates vendor dependencies. Here, you will define your spine and leaf switches as well as your servers as logical devices. For switches, you will specify details such as port count, port speed, and how the ports are to be used. For instance, you can require that the highest port number of every switch should always use 10 GB. Once these specifications are defined, you can choose amongst a list of multiple switch vendor models that comply with your stated specifications. You can then move on to servers. You only need to create one logical server to represent each server type, so you specify the details just once.

Designing Your Racks

Once your logical switches and servers are created you can go about laying out your racks. You can do this using existing templates, which you can modify to your needs. Like servers, you can design a rack once and use that design as many times as needed from then on. You can start inserting your spine and leaf switches followed by your servers. Once a rack has been completed, Apstra validates the number of available switchports to match your connectivity requirements and ensure that all servers have a connection. Once a rack is completed, you can save it as a template to be used again.

Defining Resource Pools

All your devices need their underlying resources pools. Apstra has four types of resource pools: IPv4 addresses, IPv6 addresses, ASN numbers and VLAN IDs. These pools will later be assigned to devices during the deployment stage. You define IPv4 addresses for things such as loopback IPs for BGP Router IDs and link IPs between switches. There are nifty status indicators that will let you know things like how many IP addresses within a subnet are being used. ASN pools are used for your inter-autonomous routing. Once completed, you can then create your routing policies that govern the movement of traffic throughout the data center.

The Final Blueprint

The final blueprint is comprised of the completed data center templates you created throughout the design process. Think of each template as an instance of the final design, with each instance containing the involved configurations that will be deployed. The design process is performed in blueprint staged view, which means that changes are not applied until committed. Only at that point will the incremental configurations be pushed out to your chosen devices using zero-touch-provisioning. The entire process from start to finish is designed for minimal manual intervention.

Conclusion

Designing a future data center is certainly a daunting task, but Juniper Apstra takes the intimidation away by guiding you through the entire process using an inviting GUI. For complex enterprises, cloud providers and service providers deploying more complex EVPN-VXLAN/IP fabric data centers, there is Juniper’s Apstra Automated Data Center Deployment Service. This proven service gives you access to highly experienced data center deployment experts who assist you when needed. Whatever your future data center migration demands, Juniper has the tools to simply and accelerate your project, while ensuring that it meets or exceeds its intended purpose.

Next Steps: Whether you are responding to evolving workloads and performance needs or changing scalability and resiliency requirements, chances are your enterprise will undergo a data center migration at some point. Download our white paper, and learn:

• The challenges of inevitable data center migrations
• How to incrementally build and validate blueprints
• How Juniper Apstra executes your intent
• Apstra automated data center deployment service

The post 5 Ways to Segment Your Next Data Migration Project appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

A data migration project is a huge undertaking. It’s a consuming venture that absorbs considerable resources to complete, which is why you must get it right. So, how will you conclude whether the project was a success or not? There will be multiple determining factors such as whether timetables and schedules were met and if the project stayed within budget. However, there’s one overriding measurement of success that is the most important of all: Does it achieve the business objectives that it was aligned with? In other words, will it fulfill its intended purpose? That’s what truly matters.

If this is your deciding element, then it is critical to accurately define what those intentions are. But that’s only half the equation. Once defined, you need a way to translate those intentions into the network and system configurations that will ensure that all datacenter components work collectively to achieve those intentions. This means that configurations now have a purpose beyond technical requirements. It means that business intent should drive them. Welcome to the intent-based datacenter.

Intent-Based Networking

Let’s first talk about the concept of the intent-based network (IBN). According to , IBN is a software-enabled automation process that uses high levels of intelligence, analytics, and orchestration to improve network operations and uptime. Its premise is simple. Operators state the business objectives that must be met, and the IBN translates those objectives into the required configurations that are then deployed throughout the network. This conversion process is completed without human intervention. Gone are the days when datacenter management relied on CLI commands, scripts, and SNMP managers. IBN replaces those labor intensive and unscalable approaches with automated intelligence, thus lessoning the dependence on highly trained specialists.

SDN Evolves Into IBN

IBN is considered the next evolutionary step of software-defined networking (SDN). SDN utilized software-based controllers within a central controller that communicated with the underlying network using application programming interfaces (APIs). This software-based architecture made the network nimbler and gave admins the ability to control all network components through a single pane of glass. This gave us the software-defined datacenter in which virtualized components were provisioned, monitored, and managed programmatically.

SDN could provision additional resources, servers, or bandwidth to accommodate dynamic workloads without human intervention. IBN goes beyond the task of configuring network changes to accommodate the adjusting needs of workloads. It adjusts to the dynamic nature of your business objectives. Once configuration changes are deployed, they are validated to determine if they are achieving their intended purpose and alter them if necessary. IBN will then continue to monitor and verify that the intent of those configurations are continually being met and act accordingly if not. If the desired intent isn’t being met, the IBN system can take corrective action, which could include the modification of a QoS policy, VLAN or ACL. The result is not only a more objective-based network, but a more compliant one as well.

IBN simplifies troubleshooting with its ability to perform root cause analysis thanks to powerful analytics. Its boundless visibility across the IT estate allows it to keep operators aware of what’s happening in the network in real time. Don’t think of IBN as a giant alert mechanism, however. It can discern what’s important and what’s just noise so IT personnel aren’t inundated with alerts.

IBN isn’t about technology for the sake of technology. It’s about preventing your network from straying off the disciplined path that aligns with the needs of the business. It’s a business-first mindset of creating, operating, and managing your network.

Do Right From The Start

While IBN provides the automation and intelligence to ensure that your network is working as intended, the creation of a new datacenter presents the invaluable opportunity to define what its purposeful objectives are at the very beginning. That’s where comes in. Juniper Apstra is a multi-vendor, intent-based networking software solution that both automates and validates the processes of designing, implementing, and operating a datacenter. It converts the stated intent of the project and converts it into objects, which are then translated into configurations that are deployed to all the systems across the network.

Juniper Apstra takes you through the entire design process step by step, from designing your rack space to creating your VLANs and security policies. Because your migration project isn’t Apstra’s first rodeo, architects and administrators can use existing templates or choose from vetted configuration options to accelerate the design process. Every configuration is validated before giving the go ahead for deployment. This limits the impact and scope of a possible failure following the initial deployment. If need be, configurations can be instantly rolled back or rolled forward on command.

Conclusion

The age of intent-based networking is here, and it represents a new era in which the datacenter and the business work cohesively with one another. The only way to truly ensure that your future network is intention-based is to integrate it from the very beginning starting with the design process. Juniper is a leader in intent-based networking technology and Apstra is the tool that ensures that your datacenter operates with business intended purpose.

Next Steps: Whether you are responding to evolving workloads and performance needs or changing scalability and resiliency requirements, chances are your enterprise will undergo a data center migration at some point. Download our white paper, and learn:

• The challenges of inevitable data center migrations
• How to incrementally build and validate blueprints
• How Juniper Apstra executes your intent
• Apstra automated data center deployment service

The post Simplify Your Next Data Migration Project With Intent-Based Networking appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

As enterprises push their digital transformation efforts into overdrive to support employees and make business decisions from anywhere, they open themselves up to a new world of data and security risks. To help manage this new influx of information and mitigate security breaches, enterprises need a solution that can analyze the massive amounts of unstructured data at the point where people, devices, and things connect to the digital world. This is where HPE Aruba Networking ESP shines. Keep reading to learn more about ESP and how it can help your enterprise on its journey to digital transformation and beyond.

How HPE Aruba Networking ESP Drives Digital Transformation

Designed to deliver a cloud-based experience at the edge, HPE Aruba Networking ESP provides you the ability to use it as either as a service in the cloud or on-premises, as a managed service delivered through HPE Aruba Networking partners, or via network as a service through HPE GreenLake. This automated, all-in-one platform continuously analyzes data across your domains, identifies anomalies, and secures unknown devices on your network using AIOps, a unified infrastructure, and Zero Trust network security. Let’s take a deeper look at these three components in the digital transformation process.

1. Artificial Intelligence Ops (AIOps)

As enterprises have greater access to large quantities of raw data provided through their digital transformation initiatives, making sense of that information to reach decisions and remedy problems can be a challenge. With AIOps, artificial intelligence and analytics come together to accurately identify the root cause and auto-remediate network issues, monitor user experience, and aid in preventing problems before they occur, while also using benchmarking and recommendations to optimize and secure the network. What this means for your enterprise is that you will increase your capacity while reducing resolution time, creating an improved IT experience overall.

You’re able to quickly resolve issues by using simple, English language requests to gather relevant information from ESP’s common data lake. For more complex situations, AI Assist uses event-driven automation to collect and post all relevant data.

2. Unified Infrastructure

The ability to consolidate all your network operations is an important piece to the digital transformation puzzle, especially if you have remote workers, multiple campuses, or branches. With HPE Aruba Networking Central, a cloud-native console that correlates cross-domain events, you can reduce resolution time and avoid manual errors. In addition, the unified infrastructure approach provides your enterprise with ultimate flexibility by allowing you to choose between services that are on-premises or in the cloud.

With ESP’s simplified navigation, advanced search, and contextual views, you can assess multiple pieces of information within a single point-of-control. This allows you to eliminate the need for additional tools to collect and correlate information across your multiple domains and locations.

3. Zero Trust Network Security (ZTNS)

As you move forward with your digital transformation process, understanding how to secure your data and the users accessing it in the new environment is paramount. HPE Aruba Networking ESP combines built-in, role-based access technology, , and identity-based intrusion detection. With these capabilities the application can authenticate, authorize, and control every user and device connecting to your network, while still being able to detect, prevent, isolate, and stop attacks before they impact your enterprise.

In summary, HPE Aruba Networking ESP provides your enterprise the chance to use artificial intelligence with automation to break down the data you need when you need it, with a unified infrastructure across your network, all while giving you the peace of mind of a secure environment.

HPE Aruba Networking ESP And WEI Come Together

As you continue your digital transformation, HPE Aruba Networking ESP will provide you with a well-rounded approach to data, infrastructure, and security. Let WEI help you figure out how it can be used to fit your enterprise’s specific situation; contact us today to get started!

Next Steps: To learn more about securing remote connectivity for your enterprise, download our tech brief “Provide Secure Remote Connectivity With HPE Aruba Networking Access Points.”

The post Discover 3 Ways Aruba ESP Drives Digital Transformation Initiatives appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

In today’s uncertain business climate, it’s critical to make sure your enterprise places itself at the forefront of innovation and leverages data effectively and efficiently to make decisions. A Connected CIO sets the tone for their team, playing a crucial role in adopting new and efficient technologies that encourage the use of data to lead innovation.

In the last year, CIOs who made digital transformation and data a top priority are now reaping the rewards of increased agility, productivity, and ongoing data-driven value. If you’re wondering how you can use data to lead innovation and become a connected leader for your enterprise, this article will provide the clarity you are seeking.

Why Using Data To Lead Innovation Is Important

Utilizing data to lead innovation is critical for enterprises that want to stay at the forefront of the data era. Embracing a data-first, data-anywhere approach as new technologies emerge is crucial for driving organizations forward, as seen in the following statistics:

• say their ability to collect, analyze, and act on data has made it easier to adapt and survive.
• agree that extracting valuable insights from data will be more important for their business than ever before.

• Organizations that increased their use of digital channels to reach customers or citizens are to be top performers than trailing ones.
• Organizations have increased the amount of data they manage by an since 2016.

Enterprises that access greater amounts of information can use this data to lead innovation. Being digitally connected allows your business to collect, analyze, and utilize relevant data to make informed decisions quickly.

Beyond the ability to collect and analyze information faster, the pandemic has also pushed enterprises to simultaneously face accelerated demand for a digital presence and shift work structures to a remote and hybrid environment. It’s imperative that your workforce can regularly access the data they need from anywhere. This requires modern devices and a flexible, responsive IT environment that keeps productivity, security, and cost-effectiveness a high priority.

Connected CIOs who prioritize a digital, data-driven workforce will create a long-term, sustainable strategy to ensure their teams have the right resources and devices to be productive from anywhere. By doing so, CIOs empower their workers to leverage data to lead innovation.

How Can I Use Data To Lead Innovation?

Traditional IT solutions inhibit the flow of data from where it’s gathered and stored to how it’s accessed by employees. This obstruction results in important business decisions being based on outdated and inaccurate information. When data can be accessed quickly and easily, enterprises are able to make the best decisions possible using complete and up-to-date information.

To effectively use data to lead innovation, you need modern strategies and technologies to accommodate the exploding volume of data coming from multiple locations. As a result, digital leaders have moved away from centralized data storage concepts to free their AI and ML workloads to analyze data in real-time, regardless of location.

Why CIOs Need To Set The Tone For Data To Lead Innovation

As a Connected CIO, your deeper understanding of your enterprise’s needs will enable you to use data to lead innovation. You will also be better prepared to handle new and unknown challenges. With your bird’s-eye view of the organization’s goals and processes, you can access data quickly and confidently to make swift decisions when faced with shifting business needs.

Additionally, you can guide your organization to prioritize digital transformation initiatives that improve agility, enable teams to work from anywhere, and encourage the use of data to lead innovation. As the person sitting at the top of the pyramid for your enterprise’s technology sector, you have the power to influence and encourage your team to adopt and use these new data-led initiatives.

Turn Your Data Into Insights and Action

With WEI and Dell Technologies, you can rest assured that you will have a team in your corner focused on creating integrated solutions that turn your data into insights and action. We make sure you’re up to date on market trends and cut through the noise to help you understand which solutions provide their worth in enterprise environments like yours.

NEXT STEPS: to identify five key factors for driving digital innovation in your enterprise.

Contact us at WEI to find out how we can guide you in making important IT decisions for your company.

The post Setting The Tone for Data To Lead Innovation As A Connected CIO appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

On September 28, 2021, HPE announced a for HPE GreenLake edge-to-cloud platform. This platform provides customers with unmatched capabilities to power digital transformation for their applications and data.

These modernizations will further accelerate HPE’s transition to a cloud services company, and give customers greater choice and freedom for their business and IT strategy in the hybrid work environment.

This announcement represents HPE’s entry into three large, high-growth software markets – unified analytics, data protection, and Adoption Framework.

What The New Cloud Services Are

The three new offerings, which add to the growing platform of HPE GreenLake cloud services, allow customers to innovate with agility at lower costs.

The new innovations are as follows:

• : Open and unified analytics cloud services to modernize all data and applications everywhere – on-premises, at the edge, and in the cloud. HPE GreenLake for analytics will be available in the beginning of 2022.
• : Disaster recovery and backup cloud services to help customers address ransomware head-on and secure data from edge-to-cloud. HPE GreenLake for data protection will be available in the beginning of 2022.
• : A comprehensive, proven set of methodologies, expertise, and automation tools to accelerate and de-risk the path to a cloud experience everywhere. The HPE Edge-to-Cloud Adoption Framework is available now.

How HPE GreenLake Analytics Are Optimized For Hybrid Environments

This is HPE GreenLake’s first cloud-native unified analytics and data cloud services optimized for hybrid environments. The analytics enable customers to accelerate modernization initiatives. They are built to be cloud-native which avoids complex data migrations to the public cloud. Now analytics and data science teams can leverage the industry’s first cloud-native solution on premises, scale up Apache Spark lakehouses, and speed up AI and ML workflows.

Included in the new are:

• HPE Ezmeral Unified Analytics: Modernized analytics and data lakehouse platform optimized for on-premises deployment.

• HPE Ezmeral Data Fabric Object Store: Kubernetes-native object store optimized for analytics performance, providing access to all data sets within edge to cloud.
• Expanding HPE Ezmeral Partner Ecosystem: Delivers a rapidly growing set of successful solutions from ISV partners that enable customers to build their analytics engines.

How HPE GreenLake Data Protection Innovation Protects Customers’ Data

Within the September 28 , HPE entered the rapidly growing data protection As-a-Service market with HPE GreenLake for data protection. The new cloud services are designed to modernize data protection, overcome ransomware attacks, and deliver faster data recovery.

The new include:

• HPE Backup and Recovery Service: Backup as a service offering that provides policy-based automation to backup and protect customers’ virtual machines across hybrid cloud environments, eliminating the complexities of managing backup hardware
• HPE GreenLake for Disaster Recovery: HPE plans to deliver Zerto’s industry-leading disaster recovery as a service through HPE GreenLake to help customers recover in minutes from ransomware attacks.

How HPE Adoption Framework Accelerates Cloud Experience

HPE has also a proven set of methodologies and automation tools to enable enterprises to take a data-driven approach to achieve the optimal operation model across all hybrid work environments – the HPE Edge-to-Cloud Adoption Framework.

The HPE Edge-to-Cloud Adoption Framework leverages HPE’s expertise in delivering solutions on-premises to meet a broad range of business needs for customers across the globe. HPE has identified multiple critical areas that enterprises should consider and measure to accomplish an effective cloud operating system.

Are You Interested In HPE’s New Cloud Services?

HPE is a global edge-to-cloud company helping organizations accelerate outcomes by unlocking value from all of their data. Built on decades of reimagining and innovating, HPE delivers unique, open and intelligent technology solutions. HPE’s new cloud services for the HPE GreenLake edge-to-cloud platform allows customers to accelerate innovation, deliver compelling experiences, and achieve high-level business outcomes. If you’re ready to make the change now, contact WEI to begin building a custom solution for your business.

NEXT STEPS: this executive brief to learn the power of the OpEX model for IT investments and find the middle ground for future It investments.

The post HPE Announces New Comprehensive Cloud Services For the HPE GreenLake Platform appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

Regardless of the industry, all enterprises are looking for strategies to improve their organizations and stay competitive in the market. However, when it comes to technological innovation, there’s one piece in particular that often blocks the way forward: the human element. While computers may still lack the creativity that sets the human mind apart, artificial intelligence (AI) has become an increasingly important part of modern computing, especially when it comes to processing and managing data.

This has never been more apparent than over the last year and half. In the midst of a global pandemic, enterprises utilizing AI in ways that reduced in-person hours reported that repetitive, day-to-day tasks, especially within the data center architecture, faired the storm far better than other organizations. AI was also a critical component when it came to implementing and managing remote workforces.

A conducted by IBM shows that as a result of the global pandemic, many enterprises accelerated the adoption of AI in the workplace However, some have yet to implement AI in a significant way, citing barriers to adoption such as a lack of proper knowledge amongst the IT team and difficulties identifying where AI solutions will make the most impact within the digital environment.

If these challenges sound familiar, ‘s AI solutions can help. Keep reading to find out how!

Determine Your AI Strategy in 5 Steps

The first step to implementing any new technology is building your strategy. According to Dell, there are five steps that are essential to every artificial intelligence project.

1. Define your use case. How are you going to utilize AI? What are your goals? How will you measure success? Are your goals and implementation strategy feasible?
2. Assess data. What data will be involved in your AI initiatives? Where does that data live? How will it be accessed and how does it need to be prepared for your project?
3. Identify model. Determine which AI model will work best for your use case. Which tools are needed to create, train, and prove this model?
4. Optimize software ecosystem. How will you move your model into production? What is your development process going to look like?
5. Determine IT environment. Your desired outcomes will determine the type of deployment that will work best, whether that’s private, public, edge, or hybrid cloud. You should also determine your latency and throughput requirements, as well as any other specifications.

By following these five steps, you can be sure that you will be properly prepared when it comes time to actually implement your AI strategy.

Dell’s AI Solutions Can Help You Find Success

Once your plan is in place, it’s time to begin your implementation journey. Finding the right vendor to partner with is just as important as planning your strategy, so it’s something that should be carefully considered.

that support digital transformation and innovation efforts, Dell can assist you in all your AI initiatives, from the implementation phase to ongoing maintenance and security efforts.

As a Dell customer, you’ll also have access to the , Dell’s dedicated group of computer scientists, data scientists, engineers, and subject matter experts, all of whom are constantly pushing the boundaries and exploring new ways of utilizing these technologies.

Dell’s portfolio of AI and data solutions is also available in either direct or as-a-service management models, letting you choose the option that best suits your needs and budget.

If you’re looking for a partner to join you on your journey to AI implementation, look no further than Dell Technologies.

Are You Interested In Dell’s AI Solutions?

is committed to helping enterprises transform the way they do business. To support this, innovation is at the forefront of all their solutions, enabling you to transform your infrastructure and accelerate the innovation you need to stay competitive. If you’re ready to make AI work for your business, contact WEI to learn more about how we can help architect the right solution to power your AI initiatives. We have expertise across all Dell systems and can help build the right solution to achieve your desired business outcomes.

NEXT STEPS: Many of our customers choose to run their business on Dell VxRail. Find out the TOP TEN reasons why in our tech brief about the benefits of VxRail below. 

The post Why You Should Choose Dell For Your AI Initiatives appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

How much data is your enterprise creating and what are you doing about it? For most companies, data is being created, and subsequently stored, at faster and faster rates. However, many enterprises lack the tools to properly utilize and take advantage of their data, especially those that are still struggling with just the part of the equation.

As technology has advanced, we’ve moved from storing information on tapes to disks and now, in modern times, the cloud. By utilizing the cloud for data storage and processing, enterprises gain great benefits, but no solution is without its costs.

The main issue comes when the data stored on the cloud needs to be utilized by services on-prem or in the data center. is helping to solve this problem and liberate enterprises from the confines of data siloes with their new Keep reading to learn how this solution is redefining cloud data storage.

Find Freedom In Data Management

While a vast majority of enterprises are utilizing the cloud for some amount of data storage, few have utilized it for critical file data, often citing difficulties in moving it one way or the other. As a result, the data lives separately than the applications that need it, reducing the effectiveness and utilization of this data. To get around this problem, some IT teams have re-built workflows to use data while it’s in the cloud, but this comes with its own set of problems.

The bottom line is there hasn’t been a simple solution to solve these cloud data storage and utilization issues… Until now.

Qumulo Shift for Amazon S3 allows IT teams to fluidly move data to and from Amazon S3 with just a few clicks, simplifying the cloud storage process and streamlining interactions with other Amazon Web Services as well.

“I like to think of [Qumulo Shift for Amazon S3] as the easiest way for customers to put their file data to work with all the amazing marketplace apps and cloud native services on AWS,” said Qumulo Technical Marketing Manager David Sniderman, with ESG Senior Analyst Scott Sinclair. “Our file system is designed to help users take advantage of the cloud’s scalable infrastructure for high performance data processing and content creation. Shift lets customers take that data, wherever they create it, and use it with AWS Cloud Service.”

With Qumulo Shift for Amazon S3, Qumulo customers, whether cloud native or creating data on prem, can take that valuable file data and use it with Amazon’s full suite of cloud services.

Why Enterprises Choose Qumulo Shift For Amazon S3

In addition to this simplified data management, enterprises will experience a variety of other benefits, including:

• Improved data availability for your users, wherever they might be located. In a time when many businesses are utilizing remote or , this is a benefit that cannot be overestimated.
• Realtime visibility and control over data and users. Potential issues can be found quicker and any decisions that must be made regarding the management of data will benefit from a full and accurate picture of the current data environment.
• Better data reliability and protection. Thanks to Qumulo’s distributed file system, which aggregates and protects cloud storage, enterprises never have to worry about files lost in the cloud. Secondary copies of data are created by native replication, which adds an additional layer of data protection.
• Lowered total cost of ownership (TCO). In comparison to legacy solutions, Qumulo Shift for Amazon S3 costs less and offers a higher percentage of provisioned capacity.
• Flexibility. Qumulo offers a flexible deployment model, allowing enterprises to create the environment that best suits their performance and capacity needs.

At the heart of it, is making it easier for enterprises to keep their data next to their applications, allowing it to be utilized to meet business objectives.

Are You Interested In Qumulo Shift For Amazon S3?

As a leader in data management, Qumulo is trusted by Fortune 500 companies, major film and animation studios, and some of the largest research facilities around the world. From building smart cars, to vital disease research, enterprises around the world are changing the way they store and utilize data thanks to Qumulo. Our team has experience implementing Qumulo for enterprise companies that process and analyze vast amounts of mission-critical data across several industries. today to learn more about how Qumulo can quickly add value to your data storage environment and strategy.

NEXT STEPS: Check out our latest infographic which shares 7 ways Qumulo is making cloud data storage radically simple. PLUS it includes a case study example of how one of our customers found success leveraging Qumulo with AWS. Click below to learn more.

The post How Qumulo Shift For Amazon S3 Can Revolutionize Your Data Storage appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

For today’s enterprises, data is the lifeblood of the business. However, despite what many CIO’s and enterprise leaders may think, many businesses lack a comprehensive data strategy that allows them to fully capitalize on their data, let alone carry them into the future.

As detailed by in , having such a strategy and making full use of data is a large part of what sets enterprises apart and gets them ahead of the competition.

In the first article of this two-part series, we detailed the challenges that enterprises face when it comes to data, as well as the Data Innovator Scale developed by IDG. In this second article we will discuss the top three moves businesses can make to better capitalize on data, and how can help get them started.

1. Utilize an AIOps-driven platform

In the course of their study, IDG found that enterprises who utilized AIOps to “resolve issues and drive intelligent insights” were able to focus more on IT initiatives that deliver more value, such as capitalizing on data.

IDG’s research found that enterprises identified as “˜advanced innovators’ on IDG’s Data Innovation Scale did the following:

• Prioritized AIOps investments
• Utilized a data platform driven by AIOps
• Had a more positive view of AIOps, with a belief that it helps achieve business outcomes

In addition to promoting innovation, an AIOps-driven data platform offers a number of other data strategy benefits, including improving the protection, consistency, and scaling of data. These challenges are often identified by enterprises early in their journey to capitalize on data.

2. Embrace the cloud

Almost every enterprise has begun utilizing the cloud to some degree, but those that truly embrace this technology for all that it can offer are often higher up on IDG’s Data Innovator Scale than those that don’t.

As specified in IDG’s report, enterprises must accept a “cloud everywhere” mentality and focus on “reducing complexity with an intelligent data strategy that supports a hybrid infrastructure across multiple clouds and on-premises data centers.”

By doing so, enterprises can ensure access to data is always-on, always fast, and constantly accessible and usable across environments.

IDG identified the following technologies as essential components of intelligent data platform solutions:

• HCI and Disaggregated HCI (dHCI)
• Containers
• As-a-Service
• Enterprise cloud data services

3. Put your data to work

As written in IDG’s report, enterprises must “put data to work” to be competitive in today’s environment. Regardless of the application or industry, the value of every piece of data must be found and applied practically to improve the business and promote growth throughout.

As shared in the report, those enterprises identified as advanced innovators on IDG’s scale have focused on unlocking the value and agility of their data by doing the following as part of their data strategy:

• Seeking data-driven insights to fuel business growth
• Working to improve experiences for customers and users
• Proactively using data to accelerate innovation

By focusing on utilizing and leveraging data across its entire lifetime, its value can be multiplied many times over what enterprises may initially anticipate.

Create an intelligent data strategy with the HPE solutions you know

Overall, the steps to advance along the IDG Data Innovator Scale and improve your data strategy are fairly simple in concept: promote innovation and automation, prioritize flexible and scalable infrastructure and data solutions, adopt “cloud everywhere,” and put data to work wherever possible.

That said, the practical application of these steps is easier said than done. Thankfully, HPE and its can help.

Modern IT environments need a modern solution to handle the hybrid complexity and rapid growth of data. That’s where HPE comes in. You can leverage the HPE platform using the tools you already know and rely on, and leverage to start gleaning performance analytics across your entire IT environment.

Built to eliminate disruptions and help enterprises unlock hidden insights in their data, HPE’s Intelligent Data Platform utilizes artificial intelligence (AI) and enables the infrastructure to learn, adapt, and react. In doing so, HPE can help businesses transform their services, revenue streams, and business models.”

Are you looking to improve your data strategy?

As a global, edge-to-cloud company, HPE is utilizing its Intelligent Data Platform to transform the way businesses view and handle data. WEI is an HPE platinum partner and we know their solutions inside and out. Why not contact us today to learn how you can leverage HPE solutions to seize the value of your data.

This article is part 2 of a 2-part blog series about enterprise data management strategy. If you missed the first article, click here to read part 1, “Exploring the Challenges of Enterprise Data Management.”

NEXT STEPS: Learn how HPE Infosight can help you take control of your enterprise data and leverage insights to drive business decisions in our tech brief below, “How AI in the Data Center Closes the Loop on Digital Transformation.”

The post Improve your Data Strategy: 3 Ways to Capitalize on Data appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

In today’s digital world, data is the next big gold rush. Every enterprise has it, but most don’t have a data strategy in place that allows them to properly capitalize on data, even if they think they do.

Truly knowing how to properly manage and make use of your data is key to getting ahead of the competition and, as shared in a , it is a key business differentiator.

In the course of their study, IDG developed the Data Innovators Scale, which helps enterprises determine where they are on the path to an intelligent data strategy.

In this two-part series, we will discuss IDG’s findings, the top three moves businesses can make to better capitalize on data, and how can help you get started.

The challenges associated with data strategies

As shared by IDG in the report, the challenges that enterprises face in regards to data can largely be broken down into several key areas: complexity, security, and the time and resources needed to make appropriate upgrades.

Participants in a recent survey from IDG indicated the following enterprise data management challenges, including:

• 21% identified legacy architecture and on-premises constraints as a major IT challenge, with a further 25% identifying it as a significant challenge
• 19% identified existing infrastructure complexity as a major IT challenge, with a further 30% identifying it as a significant challenge
• 16% identified a lack of time or IT resources for innovation as a major IT challenge, with a further 28% identifying it as a significant challenge

In terms of complexity, much of this comes from aging, legacy architecture or technologies that limit an enterprise’s ability to adopt new solutions. Siloed infrastructures also contribute to difficulties capitalizing on data, with many enterprises putting off needed change due to the difficulty of moving and consolidating data.

Protecting data is also causing headaches. Enterprises who participated in IDG’s research noted ensuring data security as the number one challenge associated with managing data.

Other data concerns included:

• 18% of respondents listed data integrity as a major challenge, with a further 28% listing it as a significant challenge
• 16% of respondents listed compliance and privacy requirements as a major challenge, with a further 31% listing it as a significant challenge
• 15% of respondents listed aligning IT skillsets to support data strategy requirements as a major challenge, with a further 29% listing it as a significant challenge

Overall, it’s clear that many enterprises are struggling to properly capitalize on their data for a variety of reasons. While this means there isn’t a single solution that will work for every business, there are a number of methods that can be utilized to improve your enterprise.

The data innovator scale

As mentioned earlier, during IDG’s research they developed the Data Innovator Scale. The scale utilizes factors that represent the ways enterprises “adopt certain technologies to support their strategy and plan to put their data to work” to determine where a company lands on the Data Innovators Scale.

Factors utilized in the scale include:

• Whether enterprises move data well between locations
• Whether enterprises have adopted hybrid cloud
• Whether enterprises leverage a data platform driven by AIOps
• Whether enterprises use HPC to generate value from data
• Whether enterprises use HCI to generate value from data
• Whether enterprises believe current IT infrastructure will meet future needs

Of the enterprises that participated in IDG’s research, 21% were identified as early data innovators, 54% were identified as intermediate data innovators, and 25% were identified as advanced data innovators.

How to improve your data strategy

In our next article, we will discuss methods to improve your data strategy, as well as the ways HPE is utilizing its to help enterprises around the world utilize the power of their data to transform their business.

Are you experiencing challenges with enterprise data management?

The data in IDC’s study and the feedback from its participants makes it clear that enterprises across industries need a new way of managing and utilizing data to truly succeed in today’s . And these challenges are very real. The challenges facing organization today are a result of this convergence of a new technologies and tried-and-true legacy systems. As a global, edge-to-cloud company, HPE is utilizing intelligently designed solutions that ensure long-term sustainability for IT.

NEXT STEPS: Learn how HPE Infosight can help you take control of your enterprise data and leverage insights to drive business decisions in our tech brief below, “How AI in the Data Center Closes the Loop on Digital Transformation.”

The post Exploring the Challenges of Enterprise Data Management appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

One of the greatest challenges faced by today’s enterprises is managing their ever-increasing volumes of data. Over time, the volume, location and importance of data have all evolved, and legacy solutions can no longer keep up.

Enterprises need a solution that can offer the support for not only the volume of data, but also differing file types, data locations, applications, and workloads. To meet this need, Qumulo has built a that directly fulfills the data-related needs of today’s enterprises.

In this two-part series, we are discussing the top 8 reasons should be a part of your cloud strategy. Check out part one for the first four ways that Qumulo is helping enterprises manage data.

5. Qumulo is a leader in data storage

Beyond the many customer reviews and testimonials in favor of the solution, Qumulo has also been recognized as a leader for the third year in a row in the .

by 2024, “large enterprises will triple their unstructured data stored as file or object storage on-premises, at the edge or in the public cloud, compared to 2020.”

For this and many other reasons, it’s more important than ever for enterprises to take charge of the way their data is handled, stored, and utilized.

6. Immense return on investment

Data management is often a time and resource sink, with many hours of administration needed from IT to properly secure and store it. For this reason alone, brings customers immense ROI just by reducing the amount of time typically needed by IT to administer the data platform.

Because Qumulo is programmable and infinitely scalable, Qumulo lets customers take advantage of technologies like artificial intelligence (AI) and machine learning to move data as needed, making sure your applications and users have access whenever they need it.

Additionally, as helps enterprises simplify data management, customers will find that in addition to cost and time savings, the enterprise will be able to better utilize data to direct and improve business objectives.

7. Qumulo provides freedom of choice

When it comes to cloud computing, enterprises rarely utilize just one cloud platform. Qumulo supports this by offering customers the and the ability to choose environments on public cloud, in the data center, or at the edge.

File data can be integrated with any application on Windows, Mac, or Linux, and customers are not locked in with one specific vendor or infrastructure.

8. Qumulo lowers operational costs

In addition to the massive return on investment that Qumulo offers to customers, it also lowers operational costs in general. Data storage costs are lowered as customers use the full capacity of their storage, and there is no penalty for small files. This means that customers utilizing Qumulo in their data center will have more storage and less cost per-rack.

Other cost savings come from reduced staff time for data management and reduced hardware maintenance costs, as well as cost-effective performance supported by AI and machine learning.

Qumulo is revolutionizing data management

When building , Qumulo zeroed in on exactly what challenges IT professionals face when it comes to data management and set out to address them. With this customer-first approach, Qumulo is changing the data management game and transforming the way enterprises view data.

With the smarter data management provided by Qumulo, enterprises can see in real time what is happening with their data and make better business decisions. Should problems arise, the platform offers the visibility IT teams need to diagnose and fix them, instead of just buying more storage as a stop gap solution.

Are you interested in Qumulo?

As a leader in data management, Qumulo has helped enterprises around the globe manage over 200 billion files. From building smart cars, to vital disease research, enterprises around the world are changing the way they store and utilize data thanks to Qumulo.

This blog post is part of a 2-part series about the benefits of leveraging Qumulo for enterprise data management. If you missed the first post, click here to read part one.

NEXT STEPS: Continue reading about Qumulo in our tech brief below to learn how Qumulo is enabling high performance productivity across distributed enterprises and remote workforces.

The post 8 Reasons Qumulo Should Be Part Of Your Cloud Strategy, Part 2 appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.

When it comes to challenges faced by today’s IT organizations, there are few as universal as data management. In the last two decades, the volume of data that enterprises are expected to utilize, secure, and manage has increased exponentially. The location of that data has also changed, with much of it moving to the cloud or hybrid environments.

Raising the stakes even further, the value of data has increased as well. An enterprise that isn’t making use of the data it has, isn’t securing it properly, or isn’t ensuring users have access to the data they need to be productive will fail.

To stay on top of this constant flow of data, enterprises require a solution that can offer the support for not only the volume of data, but also differing file types, data locations, applications, and workloads.

In this two-part series, we’ll discuss the top 8 reasons should be a part of your cloud strategy. This first article will share our first four reasons. (Read part 2 here.)

1. Qumulo simplifies management of enterprise data

Complexity is a major factor in the amount of time and resources IT must dedicate to data management. When it comes to managing cloud data, which may exist in a combination of private and public clouds, it gets even worse.

With Qumulo, enterprises gain a unified data management experience across on-premises, private, and public environments, offering , regardless of scale.

Several key features, including the ability to migrate applications to the cloud without rewriting/refactoring, the ability to automate DevOps workflows with advanced API, and a quick and easy setup process, all contribute to this simplicity.

Enterprises who make the switch will immediately see and experience the time and cost benefits of Qumulo’s simple management system.

2. Manage the full data lifecycle

To fully take advantage of the data collected by the enterprise, it can’t be inert. Data has its own lifecycle and through Qumulo, enterprises can manage each stage of it.

The cycle, , is as follows:

• Capture – The data is first captured by the enterprise
• Interact – The data begins to be interacted with by users at the enterprise
• Transform – The data is utilized and transformed for use by the enterprise
• Publish – The data is published for consumption by the enterprises target audience
• Archive – After running its initial course, the data is archived for later use or reference

With Qumulo, enterprises can manage data throughout its lifecycle with a single solution, giving IT unparalleled visibility across the enterprise and making it easy to find and catalogue individual pieces of data as necessary.

3. Proven in every industry

Data management is a problem for every enterprise, regardless of scale or industry, and Qumulo can assist with them all.

Whether your enterprise is in healthcare, media and entertainment, manufacturing, or anything in between, Qumulo can provide the cloud data management solution you need to be successful.

4. Qumulo has a broad range of use cases

Just as Qumulo can provide for enterprises in every industry, it also has a broad range of use cases.

Beyond just helping enterprises manage business data, Qumulo has a wide range of use cases from helping customers analyze data to develop new technologies, to providing support for video surveillance systems responsible for student safety, to supporting aerial imaging that is key to disaster response.

More than just data management

As detailed above, . By engaging with Qumulo, you can finally tap into the true potential of the data you collect and utilize it to not only inform your strategic decisions, but completely transform the way you do business.

Stay tuned for part two of this article series where we will discuss the next four reasons Qumulo should be part of your cloud strategy.

Are you interested in Qumulo?

As a leader in , Qumulo is trusted by Fortune 500 companies, major film and animation studios, and some of the largest research facilities around the world. From building smart cars, to vital disease research, enterprises around the world are changing the way they store and utilize data thanks to Qumulo.

This blog post is part 1 of a 2-part series about the benefits of leveraging Qumulo for enterprise data management. Continue on to part 2 here >>

NEXT STEPS: Learn 7 ways Qumulo can meet your data needs as you grow and scale in our tech brief below, “Critical Data Storage for a Distributed Enterprise.”

The post 8 Reasons Qumulo Should Be Part Of Your Cloud Strategy, Part 1 appeared first on IT Solutions Provider - IT Consulting - Technology Solutions.