What is Next Beyond Container Environments

Container Management Environments for on-premises and public cloud deployment of container-based applications are an imperative for Information Technology.  For most IT operations, this is seen as an answer for IT Transformation – moving to an environment with portable containers, resilient applications with multiple clusters, scaling to meet application needs, use AI to optimize operations, and all the other promises made or projected for improving services delivery from IT to their customers.  This may require IT operations to make several attempts to move beyond developer environments and initial “learning” implementations.

There are a number of Container Management Systems from vendors such as Red Hat OpenShift, SUSE Rancher, VMware Tanzu, D2IQ Kubernetes Platform, Platform9 Managed Kubernetes, Mirantis Container Management and the public cloud environments of Azure Kubernetes Service, AWS Elastic Kubernetes Service, and Google Kubernetes Environment (all of which are covered in the Evaluator Group Evaluator Series Research).  Make no mistake, container environments are complicated, even when offered and supported by premier vendors.  The fact that the area is still evolving and there are so many open-source tools leads to constant change.  But, the gain for responsiveness from development to deploy updated or new software to meet changing environments (with CI/CD pipelines) leads to the demand.

While Evaluator Group seeks to help in explaining the solutions and needs in our coverage as well as providing information necessary to make informed decisions, it is useful to take a step back and use the evolution of operating environments to think about the end game – what will we encounter going forward as the industry makes the major transition to Container Management Environments.

So, what is next?

I really think we are in the middle of an evolution with containers.  Right now, it requires deep understanding and is relatively complicated with continual changes frustrating IT operations.  The next step will be to a container environment that is somewhat sealed and relatively invisible such that applications will run like what we call ‘serverless’ today.  This will make deployment much simpler and separate the application development from having to be cognizant (or tweaking) of the environment.  Those developers that want to reinvent the environment to their own desires will be frustrated and continue with their special improvements and condemn the common environment (reminds me of those same comments regarding deploying applications in mainframe environments).  There will be some cases where customization (and inherent complication) brings value but that should be the minority.  Ultimately, there will be another great advance to meet the services delivery demand that container environments address today, but that will hopefully be a number of years in the future. We have seen computing expand from the mainframe to mini-computers, to PCs, to client-server, and to virtual machines.  Those additions were driven primarily by the need to deliver services more quickly and economically.  Evolution will continue and as said earlier, we are in the middle of the container management transformation.  The IT industry needs to benefit from the investment in the IT Transformation being accomplished with container environments for some time before something significantly new will transform the industry and we start the cycle all over again.

Author Information

Randy Kerns

Randy has written numerous industry articles and papers as an educator and presenter, and he is the author of two books: Planning a Storage Strategy and Information Archiving – Economics and Compliance. The latter is the first book of its kind to explore information archiving in depth. Randy regularly teaches classes on Information Management technologies in the U.S. and Europe.

Related Insights
Can Databricks Make Video Data Truly Searchable, or Will Scale Break the Model?
June 28, 2026

Can Databricks Make Video Data Truly Searchable, or Will Scale Break the Model?

Databricks unveils a new architecture for video analytics that integrates vision language models and serverless GPU compute, enabling enterprises to search, summarize, and automate insights from massive video datasets....
Epicor Prism's Cognitive ERP Push: Can Embedded AI Agents Redefine Manufacturing Outcomes?
June 25, 2026

Epicor Prism’s Cognitive ERP Push: Can Embedded AI Agents Redefine Manufacturing Outcomes?

Epicor Prism launches across European markets, embedding vertical AI agents directly into Kinetic ERP to help manufacturers turn operational data into actionable insights and automate complex workflows in real-time....
Everpure's Data Primacy Bet From Storage to System of Record
June 25, 2026

Everpure’s Data Primacy Bet: From Storage to System of Record

Fernando Montenegro, VP at The Futurum Group, analyzes Everpure Accelerate 2026: the rebrand from Pure Storage, the data-primacy thesis, Data Intelligence and Data Stream, a growing security story, and what...
Can Genesis Workbench Break the Bottleneck for AI-Driven Drug Discovery?
June 25, 2026

Can Genesis Workbench Break the Bottleneck for AI-Driven Drug Discovery?

Databricks and NVIDIA launched Genesis Workbench, an open platform unifying GPU-accelerated AI tools for drug discovery while addressing critical bottlenecks in fragmented toolchains and data security risks....
Modern Data Pipeline Design Is Now a Boardroom Issue, Not Just an IT Detail
June 24, 2026

Modern Data Pipeline Design Is Now a Boardroom Issue, Not Just an IT Detail

Modern data pipelines directly shape business agility, cost efficiency, and risk. Research shows 73.6% of organizations plan to increase spending on analytical platforms, signaling that pipeline modernization is now strategic....
Databricks Data + AI Summit: Looking Beyond the Database Through Unified Transactions, Analytics, and Agentic AI
June 22, 2026

Databricks Data + AI Summit: Looking Beyond the Database Through Unified Transactions, Analytics, and Agentic AI

Brad Shimmin, Chief Analyst at Futurum, shares his insights on Databricks' 2026 Summit announcements, detailing how the unification of transactional and analytical data via LTAP lays the groundwork for truly...

Book a Demo

Newsletter Sign-up Form

Get important insights straight to your inbox, receive first looks at eBooks, exclusive event invitations, custom content, and more. We promise not to spam you or sell your name to anyone. You can always unsubscribe at any time.

All fields are required






Thank you, we received your request, a member of our team will be in contact with you.