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Kubernetes & Red Hat OpenShift

Build and operate application platforms across agreed cloud and on-premises environments.

At a glance

Build and operate application platforms across agreed cloud and on-premises environments.

What we implement. What we support.

Choose the systems you need to improve. We define the scope, dependencies and acceptance criteria before work begins.

Kubernetes & Red Hat OpenShift

Best for

Build and operate application platforms across agreed cloud and on-premises environments.

Implementation & integration

Design clusters, identity and RBAC, networking, ingress and persistent storage. Integrate delivery pipelines and GitOps; onboard applications and validate Operators against the selected platform release.

Managed support

Cluster health and capacity review, workload troubleshooting, controlled upgrades, configuration drift checks and backup/restore exercises within the agreed coverage.

Acceptance & handover

Architecture and configuration baseline, workload onboarding checks, upgrade runbooks and recovery test evidence. Recovery objectives and application ownership are agreed before handover.

Support depends on the agreed versions, integrations and access. Vendor subscriptions and licenses are separate; vendor partnership or certification is not implied. Coverage hours, escalation paths and response targets are agreed in writing. 24/7 coverage requires a managed operations agreement.

What the work covers

  1. Infrastructure
  2. Kubernetes or OpenShift
  3. Application workloads

Illustrative scope, not a deployment blueprint. Interfaces, permissions and acceptance criteria are agreed for each engagement.

Shared foundations
Both platforms need workload ownership, identity and RBAC, networking, storage, observability and recovery planning. We define which responsibilities belong to the platform team, application team and infrastructure or cloud provider.
Upstream Kubernetes and distributions
The selected distribution determines installation, add-ons and support arrangements. Check component version skew and the distribution upgrade path together; an upstream version rule alone is not an upgrade plan.
Red Hat OpenShift
OpenShift adds an integrated platform lifecycle. Plan against the installed release and update path; check each Operator and its dependencies separately. Extended support depends on the release and subscription entitlement, and Operator lifecycles can differ from the platform.
Recovery has four layers
An etcd backup protects cluster state; it does not by itself restore application data. Plan control-plane recovery, application configuration and secrets, persistent volumes and databases, and external dependencies such as identity and DNS. The cited OpenShift 4.18 procedure requires an etcd backup from the same z-stream release. Use documentation for the installed version and measure a complete application restore against agreed recovery time and data-loss objectives.

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

Harden and automate

Manage suitable configuration through GitOps, with review and release gates. Automate tested upgrade and backup tasks where appropriate; validate control-plane and application recovery separately.

What you get

  • Cluster architecture record
  • GitOps-managed configuration baseline
  • Upgrade, backup, and DR pipelines
  • Migration waves with SLO gates

Stack

  • Kubernetes
  • Red Hat OpenShift
  • Argo CD
  • CI/CD

Outcome

A platform whose next upgrade is boring — documented, automated, and owned by your team.

A closer look at the deliverables

Illustrative templates for scoping and reviewing an engagement. These are not customer results, vendor-certified procedures or ready-to-run production instructions.

Illustrative expected result

Assessment summary

Kubernetes / OpenShift readiness checklist

Prerequisites
Inventory clusters, versions, Operators, workloads, network and storage dependencies. Check lifecycle compatibility and identify application owners.
Expected result / acceptance threshold
Platform and application restore evidence recorded separately; measured recovery meets the agreed objectives.
Open the full worksheet

Start here

Plan an implementation or support engagement

Send the shape of the problem. An engineer — not a sales rep — replies within one business day.

What happens next

  1. 01Describe the estate
  2. 02Engineer review
  3. Working session