Cloud · Kubernetes
Kubernetes as a paved road.
CNCF-aligned Kubernetes platforms — production-grade clusters, service mesh, and workload onboarding.
Running Kubernetes in production is straightforward; running it well at scale is not. We build multi-tenant Kubernetes platforms on EKS / AKS / GKE with hardened baselines, policy-as-code, service mesh and cost visibility — so teams onboard workloads in hours, not weeks.
/ Capabilities
What's in scope.
Cluster architecture
Multi-cluster / multi-region topology, upgrade cadence, and blast-radius design aligned to CIS Kubernetes Benchmark.
Policy & admission
OPA Gatekeeper / Kyverno policies for baseline security, quotas and image provenance (Sigstore / cosign).
Service mesh & networking
Istio / Linkerd for mTLS, traffic policy and observability where multi-service complexity justifies it.
Workload onboarding
Helm / Kustomize templates, PR-checks and cost allocation so teams self-serve within guardrails.
Fewer, larger, better-run clusters.
The Kubernetes-cluster-per-team pattern is expensive and hard to secure. We consolidate onto fewer, well-run clusters with namespaces, quotas and network policy providing tenancy.
Cost visibility is a first-class concern.
OpenCost / Kubecost per-workload attribution stops noisy neighbours and shows product teams the real cost of what they ship.
/ Standards & Tooling
Common questions.
Do we need a service mesh?
Only when service-to-service complexity, mTLS or traffic policy justifies its operational cost. Many platforms are better served by ambient sidecar-less meshes or gateway-only patterns until they need more.
Managed Kubernetes or self-managed?
Default to managed (EKS/AKS/GKE) for the control plane; self-manage only when regulatory, cost or platform constraints demand it.
Ready to scope a kubernetes & container platforms engagement?
A senior practitioner — not a sales rep — will respond within one business day.
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