Is your app platform ready for what's next?

A year ago, running containers reliably was enough; AI has raised the bar. Now teams are expected to ship AI-powered applications, share GPU resources across workloads, maintain consistent security across on-premise and cloud environments, all without adding headcount to manage the complexity. That's a meaningful shift, and most platforms aren’t architected for it. If yours is starting to hold you back, it’s time to investigate other options.

Red Hat OpenShift is built to run all your applications: virtual machines (VMs), containers, and AI together, with security features built in across any type of environment. But the real question isn't what OpenShift can do; it's what you and your organization need from an application platform to fill gaps and move forward. As you evaluate your current platform, consider these questions:

Can your platform handle what you’re running?

Modern application environments aren't homogeneous, and the platforms that manage them shouldn't pretend otherwise. AI workloads and hybrid sprawl are pressure points that come up consistently—and they're 2 sides of the same problem.

On the AI side, the question is whether your platform can run AI workloads alongside existing applications without requiring additional hardware investment. GPU sprawl is a silent cost that catches teams off guard, and it compounds quickly. OpenShift shares compute efficiently, allocating the right slice of GPU capacity to each task rather than locking an entire card to a single workload.

On the infrastructure side, consider if your VMs, containers, and AI workloads share a single control plane—or whether your teams are managing 3 separate realities. Hybrid cloud shouldn't mean hybrid complexity. OpenShift brings virtualized, containerized, and AI workloads onto a single, unified application platform, with the same networking, storage, and management experience whether you're operating on premise, in the cloud, or at the edge.

How much friction lives between code and production?

Every manual step between a developer writing code and that code reaching production is a chance for drift, delay, or a security gap. In practice, those steps accumulate, and what looks like a manageable workflow in a small environment becomes a significant liability as teams and codebases grow.

OpenShift provides self-service developer tooling, automated pipelines, and GitOps-powered delivery so teams ship consistently, without reinventing the process project by project. Tooling is fully supported and maintained by Red Hat to deliver continuous security—no matter where you are in your development lifecycle.

Do you have full visibility in your IT environment—and real control?

Observability and security are often treated as separate concerns. In practice, they're inseparable. You can't act on what you can't see, and you can't trust what you can't enforce.

On the visibility side: when something goes wrong across your fleet, how long does it take you to know—and know why? A status check and a health check serve different purposes. While standard Kubernetes gives you a status check, OpenShift provides a comprehensive health check—with fleet-wide monitoring, integrated logging, tracing, and a single console across every environment.

On the control side: does your security posture hold consistently across every cluster, cloud, and environment? Policy enforcement that depends on humans is policy enforcement that drifts. OpenShift is built on Red Hat Enterprise Linux (RHEL)—trusted for more than 30 years—and enforces policy uniformly across your entire fleet, automatically.

The full checklist goes deeper on each of these areas, giving you something concrete to work from—whether you're evaluating a new platform or pressure-testing the one you already have.

Get started today.