- Readiness, workload and dependency assessment
- On-premises, cloud or hybrid target architecture
- Networking, storage, identity, ingress and security design
- Non-production, production and disaster-recovery environments
- GitOps, CI/CD integration and declarative configuration
- Workload waves, rehearsal, rollback, cutover and hypercare
Red Hat Certified Partner · Specialist platform implementation
OpenShift. Engineered for production.
A gated implementation from target architecture to secure deployment, workload onboarding and an agreed operating handover.
Talk to an engineer03Non-prod · Prod · DR
HAResilient by design
GitOpsRepeatable delivery
The platform ecosystem we implement
Red Hat
IBM
AWS
Microsoft Azure
Google Cloud
Oracle
Kubernetes
GitLab
Terraform
OpenShift implementation with product responsibilities kept clear.
Platform partnership
ExpertOps designs, implements and transitions the agreed OpenShift platform scope. Red Hat subscriptions, licensing and vendor product support are confirmed separately in the applicable proposal.
Partner status and applicable credentials are confirmed during proposal review. Solution definition
Platform implementation with production ownership designed in.
Deployment context and final scope are confirmed through readiness discovery before architecture is committed.
- Target platform blueprint and decision record
- Automated environment and cluster configuration
- Security, access and image-governance controls
- Workload onboarding and migration-wave plan
- Observability, recovery and lifecycle runbooks
- Production-readiness evidence and operating handover
- ExpertOps implements and transitions the agreed platform scope
- The customer owns business priorities, access decisions and workload acceptance
- Red Hat licensing, subscription and product support remain separate unless explicitly contracted
Implementation process
Six controlled phases from blueprint to operations.
Every phase ends with evidence and a decision gate—so production is never the first real test.
Assess & architect
Workloads, dependencies, security requirements and recovery objectives become the target platform blueprint.
Build the foundation
Networking, identity, storage, ingress, certificates and infrastructure automation are established first.
Deploy the platform
Separate non-production, production and disaster-recovery environments are built through repeatable automation.
Automate & secure
GitOps, policy controls, image governance, secrets, monitoring and audit evidence are integrated into delivery.
Onboard workloads
Applications move in controlled waves with performance, resilience and rollback validation at each gate.
Cut over & transition
A rehearsed go-live moves into the agreed hypercare window, knowledge transfer and operating handover.
Deployment architectureOne governed platform.
One governed platform.
Three protected environments.
Non-production
Development, test and pre-production with production-aligned configuration.
Production
Highly available clusters, controlled ingress and observable application operations.
Disaster recovery
Replicated configuration, tested recovery procedures and defined failover ownership.
GitOps delivery Security & policy Observability & SRE
Production-readiness gates
Evidence before cutover.
Architecture, recovery, security and operations are proven before business-critical workloads depend on them.
High-availability architecture validated
Disaster-recovery procedure rehearsed
Access and policy controls evidenced
Observability and alert paths tested
Rollback decision points agreed
Operations runbooks transferred
FAQ
Common questions about OpenShift implementation.
Clear answers for decision-makers before the first engineering workshop.
Talk to an engineerCan ExpertOps improve our existing pipelines and toolchain?
Yes. The engagement begins by mapping the current delivery path, controls and failure points. ExpertOps retains tools and patterns that remain fit for purpose, improves or replaces the constrained parts, and validates compatibility before the target path is accepted.
Who decides whether a security finding blocks a release?
Blocking thresholds, evidence, exception handling and escalation are defined with customer engineering, security and risk owners. ExpertOps engineers and can operate the agreed controls; customer owners retain the release authority and risk-acceptance decisions assigned to them.
What happens when an automated check finds a vulnerability?
Within the agreed scope, findings are triaged, assigned an owner and tracked against risk-based remediation targets. False-positive and exception decisions remain traceable, while application, platform, customer and vendor responsibilities are documented before operation begins.
How quickly can ExpertOps take over an operation?
Transition timing depends on scope, access, knowledge quality, coverage and operational risk. ExpertOps defines the transition plan, acceptance evidence and ownership model before responsibility changes hands.
Do you support mission-critical and regulated platforms?
ExpertOps supports banking, government, telecom and healthcare environments with evidence-based controls and tiered support options. Coverage and escalation paths are defined for the agreed service scope.