We deploy Kubernetes on AWS EKS, Azure AKS, GCP GKE, DigitalOcean, Bare Metal, or Rancher. Solutions include node pools, availability zones, spot instances, auto-scaling groups, ingress controllers, persistent storage, and network policies. Clusters are designed with upgrade, rollback, and capacity planning baked-in for long-term reliability.

We build and deploy Helm charts, Operators, deployments, DaemonSets, CronJobs, stateful sets, probes, and horizontal pod auto-scalers. Services run isolated, fault-tolerant, and restart automatically on failure. Supports APIs, queues, workers, web apps, machine learning services, and streaming pipelines.

We configure namespaces, pod security, network policies, TLS certificates, OPA/Gatekeeper policies, Role-Based Access Control, and identity with SSO. Traffic runs through Ingress, mTLS, or service meshes. Keys, secrets, and config maps are protected with vaults and encryption, keeping every app isolated and compliant.

We integrate Prometheus, Grafana, Loki, ELK, Jaeger, and Datadog for cluster observability. Teams track pods, nodes, HPA scaling, deployment status, errors, CPU, latency, and request flow. Alert rules notify based on SLAs, resource spikes, failures, or regression events — enabling fast incident recovery.

We use ArgoCD, Flux, Helm, and pipelines to automate deployments via Git version control. Every deployment is logged, traceable, reversible, and fully auditable. Rollouts use canary, blue-green, or feature flag strategies, reducing deployment risk and eliminating manual SSH actions or hotfix breakages.

We set resource requests/limits, auto-scale based on load, and optimize node utilization with spot/preemptible nodes, binpacking, and vertical scaling. Unused compute and idle workloads are eliminated with lifecycle policies — lowering cloud bills while improving uptime and performance SLAs.