Kubernetes development company
Kubernetes development services for teams moving containers onto EKS, GKE or AKS, or untangling a cluster that already runs production: Helm and Kustomize packaging, Argo CD pipelines, autoscaling that follows real load, and version upgrades planned as routine work.
- Senior engineers · IST + EST overlap
- NDA on day 1
- 24-hour reply
- Projects shipped
- 50+
- Code ownership
- 100%
- Client rating
- 4.8/5
- First reply
- 24h
Kubernetes clusters your team can actually operate
Krapton is a Kubernetes development company that designs, builds and hardens container platforms on EKS, GKE, AKS and self-managed clusters. Most engagements start with an application that works in Docker but has no reliable path to production, or a cluster that grew by copy-pasted YAML until nobody trusts a deploy. We package services as Helm charts or Kustomize overlays, move releases into Git with Argo CD or Flux, and set resource requests, probes and PodDisruptionBudgets so rollouts and node drains stop causing outages. Every cluster ships with Prometheus metrics, centralized logs and alerts tied to service-level objectives rather than CPU graphs. Upgrades follow a written runbook, with deprecated APIs found before they break a deploy, instead of a weekend of guesswork. We also say plainly when a managed container service would serve you better than a cluster.
Kubernetes development services
Cluster design and provisioning
Terraform or OpenTofu modules for EKS, GKE or AKS with private networking, IAM-to-RBAC mapping, separate node pools for system and app workloads, and environments that differ only by variables.
Helm chart development
Reusable Helm charts or Kustomize bases for each service, with values schemas, sane defaults for probes and resources, chart tests, and a versioning scheme your CI can promote between environments.
GitOps delivery pipelines
Argo CD or Flux syncing from Git, image builds and scans in GitHub Actions or GitLab CI, and progressive rollouts with Argo Rollouts so a bad release rolls back on metrics instead of a pager.
Containerizing existing applications
Moving apps from VMs or Docker Compose onto Kubernetes: slim multi-stage images, twelve-factor config, health endpoints, graceful shutdown on SIGTERM, and stateful pieces kept on managed databases.
Autoscaling and cost control
HPA and KEDA tuned against real traffic, Karpenter or Cluster Autoscaler for nodes, spot capacity for interruptible work, and OpenCost reports that show which namespace is spending what.
Upgrades and cluster rescue
Version upgrades planned from deprecated-API scans with Pluto, add-on compatibility checks and surge node rotation, plus audits of inherited clusters covering RBAC, NetworkPolicies, secrets handling and image provenance.
Why teams choose Krapton for Kubernetes
Senior engineers, fixed scope, and code you own — the things agencies promise and rarely deliver.
Production defaults from day one
Requests and limits, readiness and startup probes, PodDisruptionBudgets, topology spread and Pod Security Admission are part of the first chart, not a hardening phase scheduled after the first outage.
Cluster state kept as code
Cluster config, Helm values, policies and dashboards are code in your repositories, so any change has a reviewer, a diff and a rollback, and nothing depends on one engineer’s laptop.
Security built into the pipeline
Images are scanned with Trivy and signed with cosign, admission policies in Kyverno or Gatekeeper block privileged pods, and secrets come from External Secrets Operator instead of base64 in Git.
Runbooks you can hand over
Each platform ships with runbooks for failed rollouts, stuck node drains, certificate expiry and restore drills with Velero, written so your own engineers can operate it without calling us.
How a Kubernetes project runs with Krapton
01
Platform assessment
We map services, traffic patterns, data stores and team skills, then decide between Kubernetes, a managed container service, or improving the current setup, with the reasons written down.
02
Reference environment
A staging cluster built from Terraform, with one service migrated end to end through CI, Argo CD, observability and alerting, proves the pattern before the rest move.
03
Incremental migration
Remaining services move in small batches behind weighted DNS or load balancer rules, so traffic shifts gradually and any service can return to its old home if metrics degrade.
04
Handover and upkeep
Your team gets access reviews, runbooks and a game-day exercise; we stay on for upgrades, add-on patching and capacity reviews if you want ongoing help.
The Kubernetes stack we build with
Kubernetes development: questions answered
What does a Kubernetes development company actually deliver?
A working platform and the code that defines it. That means Terraform for the cluster and networking, Helm charts or Kustomize overlays for every service, a GitOps repository Argo CD syncs from, dashboards and alerts, and runbooks. Application changes are part of it too: health endpoints, graceful shutdown and config moved out of images, because a cluster cannot fix an app that ignores SIGTERM.
When is Kubernetes the wrong choice?
When you run a handful of stateless services and have nobody to own the platform. Kubernetes pays off with many services, mixed workloads, multi-cloud or on-premises requirements, or strict isolation needs. For a single API and a worker, Cloud Run, ECS on Fargate or a PaaS gives you autoscaling and zero-downtime deploys without control-plane upgrades, add-on patching or node management.
How do you handle Kubernetes version upgrades?
As scheduled maintenance with a written plan, not a crisis. Kubernetes ships three minor releases annually and each one receives upstream patches for only about a year, so clusters fall behind quickly. Before each upgrade we scan manifests and Helm releases for removed APIs, update add-ons such as the CNI, CoreDNS and ingress controllers, upgrade staging first, then rotate node pools with surge capacity while PodDisruptionBudgets protect availability.
Should we move from Ingress to the Gateway API?
Usually yes for new routing work, and sooner if your clusters still run the community ingress-nginx controller, which the Kubernetes project has retired. Gateway API expresses traffic splitting, header matching and cross-namespace routing as standard resources rather than controller-specific annotations. We translate existing Ingress rules into HTTPRoutes, run old and new paths side by side, and move DNS once responses match. Another maintained ingress controller is a valid interim step.
What decides the cost of a Kubernetes project?
Scope and starting point, not the cluster itself. The main drivers are how many services need containerizing, whether apps already expose health checks and external config, the number of environments and regions, compliance requirements such as audit logging or private networking, and whether you need ongoing upgrade and on-call support after launch. A short assessment turns those into a written estimate.
Ready to build? Tell us what you have in mind.
Send a short brief and a senior engineer will reply within one business day with next steps — no sales fluff.