Deep diagnostics & architecture review
We audit etcd, CNI networking (Calico/Cilium/Azure CNI), Ingress (Ingress-NGINX/Traefik/Envoy), storage (CSI), and RBAC to stabilize troubled clusters.
Kubernetes consulting & support
Is Kubernetes solving problems or creating new ones?
If deploying, upgrading or investigating an incident always requires the same person, the platform needs attention. We identify the complexity, correct it and leave a cluster your team can operate.
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 cluster is locked on obsolete versions because the team fears control-plane or node upgrades will cause outages.
Pods suffer recurring restarts (CrashLoopBackOff, OOMKilled) or CNI network drops that the team cannot diagnose.
Resource sizing (Requests/Limits) is unbalanced, leading to CPU throttling or node memory exhaustion.
There are no isolation policies (NetworkPolicies, least-privilege RBAC) or deployment security admission controls.
There is no tested backup or disaster recovery strategy (Velero, etcd snapshots) for catastrophic failure scenarios.
Development teams waste hours fighting complex YAML manifests and cryptic Kubernetes API error messages.
What we do
Engineering applied to the system you already have.
Controlled cluster lifecycle & upgrades
We plan and execute Kubernetes minor version and addon upgrades with API deprecation testing and controlled change windows designed to minimise disruption.
Senior operational support & troubleshooting
We act as your senior escalation tier (L3) to diagnose complex failures, network bottlenecks, node instability, and storage driver errors.
GitOps & internal developer workflows
We standardize deployment manifests and Helm charts via ArgoCD or Flux, establishing guardrails for development teams.
Scope
Concrete technical work, documented and transferable.
Multi-distribution support
Hands-on operational experience across Amazon EKS, Azure AKS, Google GKE, Red Hat OpenShift, and self-managed bare-metal clusters.
Upgrades & security patching
Proactive lifecycle management before End-of-Life (EOL), with deprecated API scanning and validated rollbacks.
Observability & telemetry
Deployment and tuning of Prometheus, kube-state-metrics, cAdvisor, Grafana, and Golden Signals cluster dashboards.
Network & storage troubleshooting
Diagnosis and resolution of CNI, conntrack, CoreDNS, Ingress Controller, and CSI volume attachment issues.
Backup & Disaster Recovery
Configuration and scheduled restoration drills using Velero, covering cluster resource manifests and persistent storage snapshots.
Security & RBAC hardening
Implementation of least-privilege access, dedicated ServiceAccounts, NetworkPolicies, and policy enforcement (Kyverno/OPA Gatekeeper).
Expected outcome
- ✓Keep production clusters on secure, supported releases while minimising disruption risk.
- ✓Drastically reduce diagnosis and resolution time (MTTR) for complex infrastructure and node incidents.
- ✓Eliminate OOMKilled restarts and CPU throttling through precise resource profiling.
- ✓Ensure verified cluster recoverability through automated Velero backup and restoration testing.
- ✓Free developers from Kubernetes operational burden through clean manifests and GitOps workflows.
How we work
Initial health & risk audit
We inspect component versions, etcd metrics, CNI networking, CSI storage drivers, RBAC permissions, and resource quotas.
Remediation & stabilization plan
We resolve critical vulnerabilities, eliminate network bottlenecks, and fix misconfigured deployment manifests.
Operational onboarding & support
We integrate into your communication channels to take on incident troubleshooting and scheduled maintenance.
Continuous upgrade & improvement cycle
We maintain a proactive schedule for Kubernetes version bumps, addon lifecycle management, and capacity tuning.
What stays with your team
Code, documentation and capability that do not depend on us.
- ✓Technical cluster audit report with prioritized architecture recommendations.
- ✓Documented upgrade and rollback runbooks for all planned version transitions.
- ✓Optimized Helm charts, Kustomize overlays, and GitOps pipeline repositories.
- ✓Verified Velero backup configuration and disaster recovery drill reports.
- ✓Production Grafana dashboards covering cluster health and workload metrics.
Fit
It makes sense when
- Companies running mission-critical workloads on Kubernetes (AKS, EKS, GKE, OpenShift) needing senior engineering support without hiring a full in-house team.
- Engineering teams operating obsolete cluster versions that need a safe, tested upgrade path.
- SaaS platforms where cluster stability or Ingress networking directly impacts customer SLAs.
It is not the right option when
- Projects using Kubernetes solely for local prototyping without production infrastructure requirements.
- Companies seeking application software development rather than platform and infrastructure support.
FAQ
Frequently asked questions
What is the difference between Kubernetes consulting and recurring support?
Consulting addresses a specific, time-boxed objective: auditing a cluster, designing an architecture, or planning a migration. Recurring support provides ongoing senior engineering capacity to own version upgrades, resolve complex incidents, and assist your developers.
Do you support managed Kubernetes (AKS, EKS, GKE) as well as OpenShift and bare-metal?
Yes. We operate managed services across major cloud providers as well as self-hosted Kubernetes and Red Hat OpenShift clusters in private data centers or hybrid clouds.
How do you minimise disruption during cluster version upgrades?
We scan application manifests for deprecated APIs, validate workloads in a staging environment, and execute rolling node upgrades with PodDisruptionBudgets and controlled drain procedures in production.
Does this service include 24/7 emergency response?
We do not provide 24/7 on-call emergency rotations. Our Kubernetes support focuses on preventative reliability, planned rolling upgrades, deep observability, and troubleshooting during extended business hours to maximize cluster uptime.
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.