Ship faster with production-grade Kubernetes clusters, CI/CD pipelines, and infrastructure-as-code. Our Bengaluru DevOps team handles cluster architecture, GitOps workflows, observability, cost optimization, and multi-cloud deployments — so your engineers focus on product, not plumbing.
Proof-First Delivery
What We Offer
Each module is designed as a production block with integration boundaries, governance hooks, and measurable outcomes.
Kubernetes Cluster Architecture & Setup Design and deploy production Kubernetes clusters on EKS, GKE, or AKS. We handle node pool sizing, networking (VPC-native, Calico, Cilium), RBAC policies, secrets management, and multi-tenancy configurations tailored to your workload profile. CI/CD Pipeline Engineering Build automated deployment pipelines with GitHub Actions, GitLab CI, ArgoCD, or Flux. We implement trunk-based development, preview environments, canary deployments, and automated rollbacks — reducing deploy times from hours to minutes. Infrastructure as Code (IaC) Manage all infrastructure through Terraform, Pulumi, or AWS CDK. Every resource — from VPCs to database clusters — is version-controlled, peer-reviewed, and reproducible across environments. No more snowflake servers. Observability & Monitoring Set up comprehensive observability with Prometheus, Grafana, Loki, and OpenTelemetry. We configure dashboards, alerting rules, distributed tracing, and log aggregation so you catch issues before your users do. Cloud Cost Optimization Audit your cloud spend and implement spot instances, autoscaling policies, right-sized resource requests, and cluster autoscaler tuning. We typically reduce Kubernetes infrastructure costs by 30-50% without sacrificing reliability. Security Hardening & Compliance Implement pod security standards, network policies, image scanning (Trivy, Snyk), OPA/Gatekeeper policies, and audit logging. We help you meet SOC 2, ISO 27001, and HIPAA compliance requirements on Kubernetes.
Production Kubernetes Experience We've managed clusters running hundreds of services across AWS, GCP, and Azure. Our team knows the real-world edge cases — etcd performance, control plane upgrades, DNS resolution issues, and resource quota tuning. Developer Experience Focus We build DevOps platforms that your developers actually want to use — self-service deployments, fast feedback loops, clear documentation, and minimal configuration overhead. Good DevOps makes developers faster, not frustrated. Bengaluru Delivery Team Local collaboration with fast response times for infrastructure incidents. Same-timezone coordination means your on-call team gets support when they need it — not 12 hours later.
Microservices Migration Migrate monolithic applications to Kubernetes-orchestrated microservices with proper service mesh, API gateways, and distributed tracing. We handle the migration incrementally — no big-bang rewrites. AI/ML Workload Orchestration Run GPU-accelerated training and inference workloads on Kubernetes with proper node affinity, resource quotas, and autoscaling. We configure KubeFlow, Ray, or custom job schedulers for ML pipelines. Multi-Region High Availability Deploy across multiple regions with automated failover, global load balancing, and data replication. We architect for 99.99% uptime with clearly defined RTO and RPO targets. Platform Engineering Build internal developer platforms with Backstage, Crossplane, or custom tooling. Give your teams self-service infrastructure provisioning with proper guardrails, cost controls, and audit trails.
Delivery Proof
Selected engagements that show architecture depth, execution quality, and measurable business impact.
Delivery Advantages
Kubernetes Cluster Architecture & Setup Design and deploy production Kubernetes clusters on EKS, GKE, or AKS. We handle node pool sizing, networking (VPC-native, Calico, Cilium), RBAC policies, secrets management, and multi-tenancy configurations tailored to your workload profile. CI/CD Pipeline Engineering Build automated deployment pipelines with GitHub Actions, GitLab CI, ArgoCD, or Flux. We implement trunk-based development, preview environments, canary deployments, and automated rollbacks — reducing deploy times from hours to minutes. Infrastructure as Code (IaC) Manage all infrastructure through Terraform, Pulumi, or AWS CDK. Every resource — from VPCs to database clusters — is version-controlled, peer-reviewed, and reproducible across environments. No more snowflake servers. Observability & Monitoring Set up comprehensive observability with Prometheus, Grafana, Loki, and OpenTelemetry. We configure dashboards, alerting rules, distributed tracing, and log aggregation so you catch issues before your users do. Cloud Cost Optimization Audit your cloud spend and implement spot instances, autoscaling policies, right-sized resource requests, and cluster autoscaler tuning. We typically reduce Kubernetes infrastructure costs by 30-50% without sacrificing reliability. Security Hardening & Compliance Implement pod security standards, network policies, image scanning (Trivy, Snyk), OPA/Gatekeeper policies, and audit logging. We help you meet SOC 2, ISO 27001, and HIPAA compliance requirements on Kubernetes.
Production Kubernetes Experience We've managed clusters running hundreds of services across AWS, GCP, and Azure. Our team knows the real-world edge cases — etcd performance, control plane upgrades, DNS resolution issues, and resource quota tuning. Developer Experience Focus We build DevOps platforms that your developers actually want to use — self-service deployments, fast feedback loops, clear documentation, and minimal configuration overhead. Good DevOps makes developers faster, not frustrated. Bengaluru Delivery Team Local collaboration with fast response times for infrastructure incidents. Same-timezone coordination means your on-call team gets support when they need it — not 12 hours later.
Microservices Migration Migrate monolithic applications to Kubernetes-orchestrated microservices with proper service mesh, API gateways, and distributed tracing. We handle the migration incrementally — no big-bang rewrites. AI/ML Workload Orchestration Run GPU-accelerated training and inference workloads on Kubernetes with proper node affinity, resource quotas, and autoscaling. We configure KubeFlow, Ray, or custom job schedulers for ML pipelines. Multi-Region High Availability Deploy across multiple regions with automated failover, global load balancing, and data replication. We architect for 99.99% uptime with clearly defined RTO and RPO targets. Platform Engineering Build internal developer platforms with Backstage, Crossplane, or custom tooling. Give your teams self-service infrastructure provisioning with proper guardrails, cost controls, and audit trails.
FAQ
Ready to modernize your deployment pipeline and infrastructure? Talk to our Bengaluru DevOps team.