The Red Hat OpenShift certification path in 2026
What each OpenShift exam tests, which ones stack toward RHCA, and the one retirement that catches people out when they plan a route through them.

What we learned operating OpenShift and Kubernetes for clients, what each certification really covers, and where AI tooling earns its place in a delivery pipeline. No launch posts, no reheated release notes.
What each OpenShift exam tests, which ones stack toward RHCA, and the one retirement that catches people out when they plan a route through them.
Showing all 23 posts
The multicluster OpenShift exam changed. What happens to an EX480 you already hold, what EX432 adds, and how to re-plan a training budget around it.
The Certified Kubernetes Administrator curriculum, its domain weightings, what changed, and why the exam rewards speed at the terminal more than knowledge.
The two-part declaration people get half right, why an API key is not an MCP credential, and where secrets should live so a prompt injection cannot read them.
Where an LLM helps a delivery pipeline, where it is the wrong tool, and the four architectural choices that decide which of those two you end up with.
Liveness, readiness and startup probes do different jobs. Conflating them is one of the few Kubernetes misconfigurations that actively causes outages.
Locking a namespace to default-deny and adding traffic back safely, why DNS breaks first, and the selector mistake that silently allows far more than intended.
How OpenShift SCCs assign arbitrary UIDs, why that breaks images built for root, how to read the admission error, and how to fix it without granting anyuid.
Project context, permission boundaries, hooks and subagents — the configuration that decides whether agentic coding helps a platform team or generates work for it.
The concrete differences between OpenShift and upstream Kubernetes — security defaults, routes, operators, builds — and when plain Kubernetes is the better call.
The exam objectives, the audience Red Hat has in mind, the version it targets, and the parts candidates consistently underestimate on the day.
Backup and restore, cluster partitioning, GitOps, monitoring and logging. What the advanced administrator exam covers and why one objective sinks people.
Curriculum weightings for the Certified Kubernetes Security Specialist, the prerequisite rule that is more ambiguous than people assume, and how to prepare.
Curriculum weightings for the Certified Kubernetes Application Developer, how it differs from CKA in character rather than difficulty, and how to prepare.
A side-by-side of the three CNCF Kubernetes certifications by cost, weighting and audience, plus the ordering constraint that decides it for most people.
Red Hat OpenShift AI in plain terms, the platform problems it solves, and a straightforward test for whether your organisation needs it yet.
What happens when a container exceeds its CPU limit versus its memory limit, why the two answers differ, and what that means for how you set them.
The requests dependency nobody mentions, how the HPA replica formula really works, stabilisation windows, and why CPU is the wrong signal for most queue workloads.
What a PDB does and does not protect against, the single-replica trap that blocks upgrades forever, and how to set minAvailable so maintenance can still happen.
Upgrade channels, MachineConfigPools and the four things that block a cluster upgrade, plus how to tell a slow upgrade from a stuck one before you intervene.
Building an eval set that catches regressions, where LLM-as-judge is trustworthy and where it is not, and how to run it in CI without constant flakiness.
Edge, passthrough and re-encrypt termination compared, what each does to client certificates and HTTP headers, and when an Ingress object is the better choice.
Prompt caching, model tiering, batching and effort control: four levers that cut spend on an LLM feature, in the order that returns most for least risk.
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