OCP troubleshooting & operator recovery
We diagnose and resolve complex issues across ClusterOperators, Machine Config Operator, OpenShift Ingress, OVN-Kubernetes, and etcd.
OpenShift consulting & operations
OpenShift should not depend on a few people to stay stable
Architecture consulting, operational stabilization, upgrades, and engineering support for Red Hat OpenShift 4.x clusters: OLM troubleshooting, operators, Security Context Constraints (SCC), etcd health, GitOps with ArgoCD, and migration planning from VMware.
Tell us what you need to solveA technical conversation, without intermediaries.
When it is usually needed
Problems worth addressing before they become operational debt.
The OpenShift cluster experiences operator degradation (ClusterOperators in Degraded state) or OLM installation issues.
Workloads fail to deploy due to strict Security Context Constraints (SCC restricted-v2 or dynamic UID enforcement).
The control plane or etcd suffers from high disk fsync latency, API timeouts, or database fragmentation.
The team is hesitant to execute OCP minor version upgrades due to potential operator or dependency breakage.
You are evaluating OpenShift Virtualization as an exit strategy from VMware and need architectural validation.
High volumes of Kubernetes Events or cluster objects overload the API Server and degrade observability agents.
What we do
Engineering applied to the system you already have.
Security, RBAC & SCC governance
We adapt workloads to native OpenShift security requirements (restricted-v2 SCC, dedicated ServiceAccounts) without granting unnecessary anyuid exceptions.
Cluster lifecycle & version upgrades
We establish update channel strategies, validate third-party operator compatibility, and execute safe, planned upgrades to minimise service disruption.
GitOps & platform modernization
We implement OpenShift GitOps (ArgoCD) and OpenShift Pipelines (Tekton) for declarative, auditable platform management.
Scope
Concrete technical work, documented and transferable.
OpenShift 4.x tuning & operational support
Thorough review of MachineConfigs, Red Hat Enterprise Linux CoreOS (RHCOS) nodes, cluster operators, and internal load balancing.
etcd management & health maintenance
fsync latency monitoring, scheduled defragmentation, compaction, and snapshot/restore disaster recovery runbooks.
SCC conflict resolution & hardening
Container privilege analysis, UID compatibility verification, and least-privilege Security Context Constraints configuration.
Governed OCP upgrades
Execution of minor version upgrades and z-stream patches with prior API deprecation scans and contingency rollbacks.
VMware Exit to OpenShift Virtualization
Technical assessment, sizing, and wave-based migration planning for virtual machines moving to OpenShift Virtualization (KubeVirt).
Cluster observability & event tuning
Configuration of OCP cluster monitoring, User Workload Monitoring, and mitigation of high-volume Event informers.
Expected outcome
- ✓Restore stability and healthy (Available) status across all core ClusterOperators.
- ✓Deploy enterprise applications safely adhering to OpenShift security policies without blanket privilege escalations.
- ✓Execute OpenShift version upgrades with predictability and zero unmanaged downtime.
- ✓Optimize API Server and etcd performance, minimizing latency spikes and memory overhead.
- ✓Gain access to senior platform engineers specialized in Red Hat enterprise environments.
How we work
Comprehensive OpenShift audit
We examine ClusterOperators, etcd metrics, MachineConfigs, SCC policies, ODF/CSI storage, and OVN networking.
Operator stabilization & performance tuning
We resolve degraded operators, defragment etcd, and eliminate API Server bottlenecks.
Security standardization & GitOps rollout
We configure least-privilege SCCs and deploy declarative workflows using OpenShift GitOps.
Continuous operational support & upgrades
We support your team through ongoing cluster lifecycle events, security advisories, and L3 incident escalation.
What stays with your team
Code, documentation and capability that do not depend on us.
- ✓OpenShift cluster health assessment report with prioritized architecture recommendations.
- ✓Documented OCP version upgrade plan with operator compatibility matrices.
- ✓Declarative SCC manifests, RBAC policies, and OpenShift GitOps repository structure.
- ✓Operational runbooks for etcd maintenance, backup, and disaster recovery.
- ✓Technical feasibility study and architecture for OpenShift Virtualization migrations.
Fit
It makes sense when
- Enterprises and tech companies running Red Hat OpenShift on-premises or in cloud (ROSA, ARO, self-managed OCP).
- Engineering teams experiencing degraded ClusterOperators, SCC deployment blockers, or etcd performance issues.
- Organizations planning a migration away from VMware using OpenShift Virtualization.
It is not the right option when
- Teams seeking lightweight container runtimes on basic VPS without enterprise compliance requirements.
- Organizations with no intention of maintaining Red Hat OpenShift licensing.
FAQ
Frequently asked questions
Do you support on-premise OpenShift as well as managed cloud versions (ROSA / ARO)?
Yes. We support Red Hat OpenShift Container Platform on bare metal and VMware, as well as managed public cloud offerings including Red Hat OpenShift on AWS (ROSA) and Azure Red Hat OpenShift (ARO).
How do you fix containers that fail under restricted-v2 SCC?
Instead of granting blanket anyuid permissions across the namespace, we isolate the specific requirement (such as write access to specific paths or privileged ports), create a dedicated ServiceAccount, and apply the narrowest secure exception possible.
How do you approach migrating from VMware to OpenShift Virtualization?
We inventory VMs, assess storage and network dependencies, verify operating system support in KubeVirt, and plan a phased migration using Red Hat Migration Toolkit for Virtualization (MTV).
Why do Kubernetes Events cause API Server timeouts on large OpenShift clusters?
In large clusters with high pod churn or repeating errors, the Events collection can reach hundreds of megabytes. Unfiltered or unpaginated client queries saturate API Server memory and CPU. We diagnose these outliers and optimize informer caching and retention policies.
Is there something in your infrastructure that is not working as it should?
You don't need to know which service fits best. Tell us what you need to solve and we will see where to start.