From cluster setup to production-grade platform engineering — I build resilient, auto-scaling Kubernetes infrastructure that powers your applications reliably at any scale.
Complete K8s lifecycle management — setup, migration, optimization, and ongoing support
Production-ready K8s clusters on EKS, GKE, or AKS. Network policies, RBAC, pod security standards, and CIS benchmark compliance.
Containerize and migrate legacy applications. Docker image optimization, Helm chart creation, and zero-downtime rollout strategies.
Implement service mesh for mTLS, traffic management, observability, and canary deployments. Blue-green and progressive delivery patterns.
Prometheus, Grafana, and Loki stack. Custom dashboards, alerting rules, distributed tracing with Jaeger, and log aggregation.
ArgoCD and Flux-based GitOps workflows. Automated deployments from Git, drift detection, and multi-environment promotion pipelines.
HPA, VPA, and cluster autoscaler configuration. Resource requests/limits tuning, spot/preemptible node pools, and cost optimization.
Modern cloud-native stack for every Kubernetes workload
AWS EKS, Google GKE, Azure AKS, DigitalOcean DOKS
Cloud ProvidersHelm, Kustomize, Jsonnet, Carvel, Timoni
Config ManagementArgoCD, Flux, Tekton, GitHub Actions, Cloud Build
DeliveryOPA/Gatekeeper, Falco, Trivy, cert-manager, Vault
Policy & SecretsFlexible engagement models for your K8s needs
Single cluster, production-ready
1–2 week delivery
Containerize & deploy
3–6 week delivery
Full internal developer platform
6–12 week delivery
Kubernetes shines when you have multiple microservices, need auto-scaling, require high availability, or want consistent deployments across environments. For a single-container app, serverless (Cloud Run, Lambda) may be simpler. I'll help evaluate the right approach for your situation.
GKE offers the best Kubernetes experience (Google invented K8s). EKS integrates best with the AWS ecosystem. AKS works well for Azure-heavy shops. I work with all three and can help you choose based on your existing infrastructure and requirements.
I implement defense-in-depth: RBAC with least-privilege, network policies, pod security standards, image scanning with Trivy, secrets management with Vault, runtime security with Falco, and policy enforcement with OPA/Gatekeeper. All codified and auditable.
Absolutely. I optimize through proper resource requests/limits, cluster autoscaler tuning, spot/preemptible node pools, bin-packing strategies, and namespace-level resource quotas. Most clients see 25–40% cost reduction after optimization.
Let's build a resilient, scalable K8s platform that your team will love deploying to.