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Edge Computing, Colocation, and Cloud—when it comes to future data center trends, what does the magic eight ball say? After a quick shake and a few responses, the outlook on data centers for the future delves into some mixed responses.


How to take your data center into the future


Aging infrastructures in traditional setups may get the job done now, but the push for more workload optimization requires more compute power than ever before. IT teams need a different approach that modernizes their data center assets either on premises or in a colocation or cloud.


To combat this business requirement, organizations turn to as-a-service models to handle their assets, instead of the silo and server approach. Cloud availability and efficiency have dramatically altered the way business leaders view bottom-line performance, and IT is playing catch-up to stay competitive.


In addition to as-a-service models, an uptick in automation and other intelligent equipment in the data center will generate more performance monitoring and predictive and performative maintenance. If an organization can keep its current infrastructure working smoothly, it can investigate new options to increase efficiency and establish a better product for the business and end users alike.


Cloud and Colocation continue to change the game


Data center deployments in the cloud and colocations can offer businesses some benefits. Eliminating an on-premises data center saves time, money and space. Those upfront costs don’t necessarily cover potential damage suffered from a colocation or cloud outage, however.


Resiliency is another future data center trend that takes a page out of the disaster recovery playbook, meaning IT has to look back to its data security protocols before moving forward to create enterprise agility.


Cloud and colocation play a major role in the resiliency field, as organizations use one or both to spread data across multiple outlets and increase protection in the event of an outage. It can often be complicated to manage data across multiple platforms, but a distributed approach prevents a major crash from knocking out an entire organization in one instance.


The industry as-a-whole needs to be more transparent in order for companies to understand if you’re more or less resilient with the path that you’ve taken and tools to include Correlata’s CorreAsses take into consideration an assessment, all the way through to future budgeting.  Gaining transparency will help lead organizations to best prepare and manage resources across their entire value chain.”


Back away from the edge?


The edge remains a future data center trend because it pushes data closer to its end users and enables IT pros to implement newer technologies, such as artificial intelligence and the internet of things (IoT), which take advantage of higher processing features.


Remote management is also a major turning point because IT pros will not only need to build out applications and services that control data in the edge, but they will also need to build out support and monitoring mechanisms.


IT pros should focus on data analysis and resource control and Correlata is leading the charge in the first step of enabling full visibility of resources.





As a part of our three-year strategic agreement between Correlata and IBM, we have completed the first stage of building a unique ability that provides, for the first time, the power to bring a holistic view for x86 and IBM LinuxONE and IBM Linux on Z systems under a single information technology management platform.


Our newest platform features and enhancements include a focus on business metrics such as IT business alignment, investment efficiency, service availability, and data loss risks in context with applications and/or environments with the ability to emphasize the business impact along with the option to drag-and-drop directly into specific IT areas and highlight the specific IT objects involved on the x86 and IBM LinuxONE systems.

Pablo Horenstein, Correlata shares, “The new IBM Z and IBM LinuxOne infrastructure capabilities imported into the Correlata CorreAssess™ engine offer a unique value proposition to IBM’s customers, allowing them to build a strong and long-term relationship with Correlata to embrace the full cycle of analysis and remediation of LinuxONE-based IT assets over time.” He continues, “We can now reflect the IBM Z/LinuxOne infrastructure inventory, resource allocations, and performance metrics into an analytic solution. Furthermore, data collection from IBM Z/VM virtualization layer and Linux operating systems will provide a multi-layer analysis to be combined with the existing Correlata analytic engine.”

IBM shares their excitement by communicating, “IBM is pleased to be supported by the unique capabilities of Correlata’s tooling and IBM appreciates the investment efforts by Correlata to assure that IBM LinuxONE users can enjoy Correlata’s IT Optimization remedies.”



Correlata’s CorreAssess is an innovative and vendor-agnostic analytics solution empowering management and IT leaders – for the first time ever – with the clarity to quantify the true value and contribution emanating directly from IT to the business layer. CorreAssess goes a long way towards delivering positive impact on cost and business execution.

Correlata is a powerful solution that helps drive data center automation and efficiency. Its CorreAssess product is an excellent example of an innovative solution that helps increase uality of Service (QoS) delivery by 50%, reduce DC Opex and Capex by 30%. Correlata also allows quick and efficient cloud mitigation saving money by purchasing the right amount of capacity, thus, lowering cloud costs by up to 25%.

Correlata is a powerful solution to help drive data center automation and efficiency for CIO’s CEO’s etc. or IT leaders, and is a great example of a solution that could help drive significant benefit for helping increase service delivery, reduce DC Opex and reduce DC Capex.

Check out the video on YouTube at




Mark Schwedel, Correlata

  /   The use of technology in business has taken a sudden, but remarkable upsurge in the history of man. In the old times, business took a slow pace thanks to the lack of tools that would allow for faster business transactions. Everything was done with the help of mechanical tools and bare hands which made it unthinkable to do business instantly.


Technology in business would allow one to see the radical, yet dramatic shift from the old business procedures to the innovative approaches as seen today. In addition, it would give one a better understanding of how important the use of technology is in business.


Some of the past innovative products and methods that helped to shape the face of business and economy are the pairing of barbed wire and cattle farming; shifting the way ranchers business of cattle and use of cowboys changed. The innovation of railroad air brakes and sleeping cars provided a new market for the railroad to provide a luxury method of travel.


Then the typewriter revolutionized business. It allowed for expansion and sped up life. The typewriter allowed for greater efficiency in shorthand and eventually became a symbol of the American worker. What makes these so innovative? It is the ability to pair and use of one or more innovation a new way to produce a major shift.


Apple, the company’s rise and current dominance in non-PC devices is somewhat puzzling. Most people have a working understanding of the fact that Apple lost the PC war to Microsoft and only nominally understand that when Apple created the iPod and then the iPhone, the company started to move in a new direction. And anyone who’s gone into an Apple store knows full well that Apple’s customer service and stores represent the gold standard for selling and supporting tech gadgets. But beyond that, the reasons why Apple is successful is still a mystery to many.


What is the big game changer of today is Information Technology (IT)? IT is not what it is, but how IT is being changed from physical equipment in data centers and traditional operations to strategic a role; virtualization and digitization of IT.


Just about every business today relies on IT. In fact, most rely on IT to the extent that IT no longer supports business. In most cases, IT “is” the business; essential, indispensable, and inextricably linked to success or failure of business today.  


The key to being successful is that move and alignment of IT to business. The dynamic change of IT to a strategic role. You need information about technology and information at the C-level that is financial.  Understand what an IT asset is – which is more than hardware or software; and now includes data and analytics. That value chain has to be represented in terms for C-level, not IT. Cognitive operations analytics is the new way business transforms, digitally, virtually and successfully in today’s global market.





Once you have decided to migrate workloads to the cloud, the trickiest part is managing the data migration. Migrating unstructured data can be difficult for many reasons because unstructured data is often millions to billions of files throughout your organization and migrating this volume of data without some automation can be very challenging. Managing cloud data migrations, particularly of unstructured data, can be a frustrating, labor-intensive, error-prone process.  Manually copying data through tools requires a lot of planning, resources and manual intervention. Even after you successfully copy everything into the cloud, you don’t have a good way to access the data since the file-access attributes may not have been preserved. Here are the top two challenges to cloud data migration – you can also learn more about what the Red Herring has touted as a winning solution, the CorreAssess Platform, that can provide insight into both the used and un-used data center resources
  1. How do you manage cloud data migrations without downtime? Data is the lifeblood of your organization. Unstructured data is predominantly stored and accessed as files by users and applications.  Migrating this data to the cloud can take weeks to months – during this time, you cannot disrupt your current users and applications.
  1. How can you automate cloud data migrations to eliminate manual effort? Migrating data through unmanaged tools is very laborious and error-prone.  Any glitches in the network or temporary unavailability of your storage can abort the entire operation.  Also, if any failures do occur, you have to start the process all over again. Chunking up the data and moving it in parts is also left to you.  File permissions and access control are often not preserved during the copy, which renders the data less usable in the cloud.
Fortunately, you can overcome these challenges with some planning and automation that preserves file-based access both from on-premise and the cloud, but before you ever begin, it remains vital to know and understand your data center resources and requirements, to ultimately save budgets. The Red Herring has awarded Correlata with its highest award and honors in North America, and we believe you, too, can benefit.   Click here to learn more.[/vc_column_text][/vc_column][/vc_row]


IT is expensive… IT is hard… To cloud or not to cloud… To scale up or to scale out… In search of clusters… Hacks and attacks… RPOs and RTOs… The questions are a plenty, and only one answer applies universally is, “It depends.” IBM is enthused by our burgeoning partnership with Correlata. Correlata attacks the questions surrounding IT Optimization with data; lots of data. IBM loves data and endorses the Correlata approach to IT analytics based on detailed data gleaned from servers, switches, storage devices, and more.


Indeed, a good part of the IBM/Correlata partnership deals with garnering even more data, from more servers, like the IBM Enterprise Linux servers: the LinuxONE Emperor and the LinuxONE Rockhopper diagonal scaling, high quality of service, highly engineered and highly integrated Linux servers for the enterprise. With IBM’s help, Correlata is building scanners for LinuxONE, and to follow will be a LinuxONE “recommendations engine: to facilitate workload selection and optimized use of LinuxONE to resolve the most demanding of IT issues.


The Correlata data scanners for LinuxONE will access RESTful GET APIs on the Hardware Management Console (HMC) to acquire detailed configuration and utilization data from LinuxONE servers running in Dynamic Partitioning Mode (DPM) or in normal mode (PR/SM). Additionally, Correlata will access SMAPI services on z/VM to garner detailed configuration and utilization information from the hypervisor wherein hundreds or many hundreds of virtual servers may be under management. Finally, Correlata will scan Linux instances running on LinuxONE to gather top of stack server and application data for correlation to IT optimization rules and business goals achievement analysis.


Data is a wonderful thing.

When enough data is collected, from enough IT resources, over enough time, then a lot of interesting observations can be made, and a lot of interesting IT analytics can be performed. The Correlata dashboard presents unique and powerful views of IT assets at work in service to business processes and the dashboard can be viewed to quickly assess and then drill down on identified business or IT issues and the resources contributing to those issues.


Additionally, Correlata runs periodic detailed analytics against the ocean of collected IT data to help understand risk exposure to availability events and to security events. Correlata is powerful in that solving a problem starts with identifying and understanding the problem (that’s the cake), but identifying potential remedies based on factual evidence as Correlata does using their “recommendations engine” is the “icing on the cake!”



A data center migration is any movement of data center assets from one location to another—perhaps moving to a colocation facility, or within the same data center, or transitioning applications and services to a hybrid/cloud environment. Regardless, data center migrations require careful planning and execution, yet before any details of a plan is penciled out, it remains vital to assess the used and un-used data center resources –access a One Time Assessment for these resources through the Correlata CoreAsses Platform Thereafter, you may follow these seven rules to ensure a successful move:

  1. Appoint a Manager In addition to data center managers and operators, IT teams, facilities teams, network engineering teams, server teams, and infrastructure teams all may be involved during the migration. A leader is necessary to divide roles and responsibilities, ensure accountability, and serve as the main point of contact.
  2. Focus on Relevancy Determine what information is needed to complete the move successfully and make sure it is provided to your stakeholders.
  3. Create a Virtual Model Creating a virtual model enables the teams involved to align and ensures that each asset has sufficient space, power, and network capacity. Moving assets virtually is much easier than moving them physically. A virtual model can also uncover potential issues that may be addressed.
  4. Review Capacity Knowing what you plan to move and understanding how your assets are connected, along with estimates based on budgeted and actual power readings, will help determine your space and power needs.
  5. Install Hardware Installing hardware before your data center migration will save time during the actual move and allow you to familiarize yourself with the new space. Installing rail kits, blanking panels, door locks, and card readers can even help to prevent incorrect installations and unauthorized access.
  6. Label Equipment Your labeling system is one of the most critical elements of your data center migration. When your equipment and cabling are not clearly and correctly labeled, you run the risk of hardware being installed improperly, the wrong cables being used, and incorrect connections being made.
  7. Pay Attention to Post-Migration Testing After the move, it may seem like all your hardware is in place, but you won’t know that it’s all working as intended if it’s not tested. Complete the system testing per the manager’s move plan to ensure that all devices and applications have been successfully migrated.

Data center migrations require planning and efficiency. With so many moving parts and people involved, it’s easy for key tasks and minute details to be overlooked. Contact Correlata to review the entire process and identify the resources needed—before, during, and after the migration.