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Cluster architecture, hardening, and workload migration on Kubernetes and OpenShift — platforms built to be operated, not just installed.
The problem
Clusters that grew by accident accumulate snowflake machine configs, stale operators, and workloads pinned in place by fear. Etcd health, upgrade channels, and RBAC boundaries go unexamined — until an upgrade, an audit, or an outage asks precisely how the platform works.
How we work it
Topology, multi-tenancy, ingress and CNI networking, storage classes, and capacity decided deliberately — written down as an architecture record sized to your actual workloads.
Cluster state moves to GitOps: upgrade rings, security policies, etcd backups, and disaster-recovery drills become pipelines instead of tickets.
Applications move in waves with rehearsed cutovers, rollback gates, and SLO checks, so delivery keeps running while the ground moves.
What you get
Stack
Outcome
A platform whose next upgrade is boring — documented, automated, and owned by your team.
Start here
Send the shape of the problem. An engineer — not a sales rep — replies within one business day.
What happens next