Kubernetes That Your Team Can Actually Operate
Most US engineering teams migrate to Kubernetes and then struggle to operate it. We design EKS, GKE, and AKS clusters that are production-ready from day one — with the runbooks and training your team needs to own it.
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Kubernetes promises faster deployments, better resource utilization, and operational consistency. Most US engineering teams experience the opposite at first — complex cluster management, obscure failure modes, and a steep learning curve that bottlenecks on the two engineers who actually understand it.
Kubernetes Done Right: Platform Engineering, Not Just Container Orchestration
Kubernetes consulting USA isn’t about migrating your Docker Compose files to Kubernetes manifests. It’s about building a platform that your engineers can deploy to without understanding cluster internals — a self-service deployment platform with automated scaling, built-in observability, and GitOps delivery that makes Kubernetes invisible to developers.
The key components of a production-grade Kubernetes platform: cluster autoscaler so you’re not paying for idle nodes, HPA (Horizontal Pod Autoscaler) so your applications scale to meet demand, resource limits on every pod so a runaway process can’t OOM-kill your entire node, network policies enforcing least-privilege communication between services, and ArgoCD or Flux GitOps so deployments happen automatically on merge.
GitOps: The Operational Model That Makes Kubernetes Manageable
GitOps is the operational pattern that transforms Kubernetes from a complex system requiring tribal knowledge into an auditable, reproducible platform. Every deployment is a git commit. Every configuration change has a PR review and approval. Every rollback is a git revert. The cluster continuously reconciles to match the git repository — no manual kubectl apply in production, no undocumented state.
For FedRAMP and NIST 800-53 compliance, GitOps satisfies change management requirements by design: all changes are version-controlled, reviewed, and auditable.
Book a free 30-minute Kubernetes consultation — we’ll assess your cluster and identify the highest-impact improvements. Contact us.
Engagement Phases
Cluster Assessment
Audit current cluster configuration — node sizing, namespace structure, RBAC, network policy, resource limits, HPA configuration, ingress, and monitoring coverage.
Platform Hardening
Implement pod security standards, resource limits/requests for all workloads, network policies, RBAC least-privilege, cluster autoscaler, and HPA for variable workloads.
GitOps & Helm Standardisation
ArgoCD or Flux GitOps deployment, Helm chart standardisation, environment promotion pipeline, and secrets management with External Secrets Operator or Vault.
Observability & Runbooks
Prometheus/Grafana observability stack, alerting rules, SLO dashboards, incident response runbooks, and team training on cluster operations.
Deliverables
Before & After
| Metric | Before | After |
|---|---|---|
| Deployment process | Manual kubectl commands, tribal knowledge required | GitOps — merge to main triggers automated deployment |
| Infrastructure cost | Static over-provisioned nodes | Cluster autoscaler reduces cost 30-50% for variable workloads |
| NIST/FedRAMP audit readiness | No network policy, no pod security standards | Full pod security, network policy, RBAC, and audit logging |
Tools We Use
Frequently Asked Questions
EKS, GKE, or AKS — which managed Kubernetes should we use?
Use EKS if you're already on AWS — the integration with IAM, ALB, and other AWS services is seamless. GKE is the most mature managed Kubernetes product with the best autoscaling (Autopilot mode). AKS is the right choice if you're on Azure or have Microsoft enterprise agreements. All three are production-grade. We implement whichever fits your existing cloud environment.
How do we migrate existing workloads to Kubernetes without downtime?
We migrate workloads incrementally using a strangler fig pattern — new services deploy to Kubernetes while existing services run on EC2 or VMs until they're individually migrated. Traffic is shifted gradually using weighted routing. No migration requires a big-bang cutover or downtime window.
What does FedRAMP require from Kubernetes?
FedRAMP Moderate and High baselines (NIST 800-53) require network segmentation (network policy), access controls (RBAC), audit logging of all API server activity, encryption of secrets at rest, and pod security controls. Our Kubernetes implementation includes all of these controls by default for government and defense contractor clients.
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