Kubernetes Services for India

Kubernetes has become the standard platform for running containerised workloads at scale, but operating production clusters demands deep expertise that most Indian development teams lack. Networking policies, pod security standards, cluster upgrades, certificate rotation, storage management, and multi-tenant isolation require dedicated platform engineering — without which Kubernetes creates more operational burden than it solves. Opsio operates production Kubernetes clusters on EKS (AWS Mumbai and Hyderabad), AKS (Azure Central, South, and West India), and GKE (Google Cloud Mumbai) — handling the entire operational lifecycle from initial cluster architecture through ongoing management, upgrades, and scaling. Our CKA-certified engineers design multi-tenant architectures, implement GitOps deployment workflows, and configure autoscaling calibrated for Indian traffic patterns.

For Indian enterprises running microservices architectures, our Kubernetes practice delivers service mesh implementation with Istio or Linkerd, ingress management with Nginx or Traefik, observability with Prometheus, Grafana, and Loki, and secrets management through external-secrets-operator. Every cluster includes network policies, pod security standards, and RBAC configurations aligned with DPDPA and CERT-In security requirements.

Indian software companies operating delivery centres for global clients benefit from our multi-cluster management capability. We manage Kubernetes across development, staging, and production environments with consistent configuration through GitOps, automated promotion pipelines, and environment-specific scaling policies. Developers deploy through Git pull requests — our platform handles the rest.

Cost management is critical for Indian enterprises running Kubernetes at scale. Over-provisioned clusters waste compute resources whilst under-provisioned clusters cause performance issues during traffic spikes. Our FinOps approach implements cluster autoscaler, Karpenter node management, spot/preemptible node pools, and resource quota enforcement — typically reducing Kubernetes compute costs 30-40% without impacting application performance.

Whether you are migrating existing applications to Kubernetes, building new microservices on containerised infrastructure, or struggling with the operational complexity of self-managed clusters, Opsio's assessment evaluates your readiness, designs the target architecture, and provides a migration roadmap with INR cost projections.