Services · Cloud Native & Kubernetes
We build Kubernetes platforms, GitOps pipelines, and service meshes that teams actually adopt — because they work without a dedicated infra PhD on call.
Architecture
From a developer's git push through multi-cluster GitOps delivery, service mesh, and full observability — a platform that treats infrastructure as code, end to end.
Our Approach
All cluster state lives in Git. ArgoCD or Flux reconciles continuously — no manual kubectl in production, no configuration drift.
Istio with mTLS enforced across all service-to-service calls. Fine-grained AuthorizationPolicies replace blanket firewall rules.
We wrap the K8s complexity in a golden path — Backstage or a custom portal so devs self-serve namespaces, secrets, and deploys without tickets to infra.
Kubecost, HPA, KEDA, and Spot instance strategies tuned to your workload profile. We typically cut cloud spend 25–40% on existing clusters.
What We Solved
A national insurer ran 200+ Spring Boot services on bare metal VMs with manual deployments. Change freeze windows lasted 72 hours. Infrastructure cost was $3.8M/yr.
Phased EKS migration using Strangler Fig — canary traffic shifting via Istio, Helm charts templated from existing deployment specs, ArgoCD managing all 200+ workloads across 3 environments.
A payments company deployed manually from a Jenkins server — 4-hour deployment windows, no rollback capability, releases every 3 weeks.
ArgoCD with ApplicationSets across us-east-1, us-west-2, eu-west-1. Helm chart library with env-specific overrides. Progressive delivery via Argo Rollouts with canary analysis using Prometheus metrics.
30 engineering teams each filed 8–15 infra tickets per sprint (namespace requests, secret provisioning, scaling adjustments). Infra team was a bottleneck.
Backstage IDP with custom K8s scaffolder — self-service namespace provisioning, External Secrets Operator for Vault integration, Karpenter for workload-aware node scaling.
Technologies We Deploy
We'll assess your current stack and sketch a migration path in one call.