Kubernetes & Container Orchestration
We design, implement, and harden enterprise Kubernetes platforms that give your engineering teams the deployment velocity and operational consistency that modern software delivery demands — without the undifferentiated complexity of managing cluster infrastructure at scale. Our container orchestration practice has delivered production Kubernetes platforms for organisations running thousands of microservices, where cluster reliability is a direct business continuity requirement. Every platform we build is production-hardened from day one: RBAC, network policies, admission controllers, and multi-cluster failover are baseline requirements, not optional extras.
420+ microservices managed · CIS Level 2 compliance
Cluster Architecture
Production-Grade Cluster Architecture
Our Approach
Platform engineering methodology
Platform Architecture & Security Design
We design the cluster topology — node pool configuration, networking model (CNI selection, network policy design), ingress architecture, and storage classes — with your security and compliance requirements as first-order constraints. A security architecture review is conducted with your CISO before provisioning begins.
Cluster Provisioning & Baseline Hardening
Managed Kubernetes clusters (EKS, AKS, or GKE) are provisioned via Infrastructure as Code with CIS Benchmark-aligned hardening applied by default. RBAC, pod security standards, network policies, and admission webhooks (OPA Gatekeeper) are configured before any workload is onboarded.
Workload Onboarding & Helm Chart Development
Application workloads are onboarded with standardised Helm charts that encode organisational deployment standards: resource requests and limits, liveness and readiness probes, pod disruption budgets, and horizontal pod autoscaler configuration. GitOps workflows (ArgoCD or Flux) govern all cluster state changes.
Service Mesh & Traffic Management
Where your architecture requires mTLS between services, advanced traffic shaping, or progressive delivery at the service level, Istio or Linkerd is implemented with the observability and access control policies that enterprise zero-trust requirements demand.
Observability, Cost Optimisation & Runbook Development
A unified observability stack — Prometheus, Grafana, and distributed tracing — is deployed with namespace-level cost attribution using Kubecost or OpenCost. Cluster runbooks, escalation procedures, and disaster recovery playbooks are documented and tested before the platform is declared production-ready.
A poorly configured cluster accumulates security debt, operational fragility, and cost inefficiency that compounds over time. Claritas Kubernetes engagements are informed by operating clusters at scale for financial services, healthcare, and e-commerce clients where a cluster incident translates directly to revenue loss and regulatory exposure. We bring the platform engineering discipline — GitOps workflows, policy enforcement, multi-tenancy isolation, and automated certificate management — that converts a Kubernetes deployment from an engineering experiment into a durable enterprise platform.
Kubernetes has become the de facto operating system for enterprise software — but the gap between a functioning Kubernetes cluster and a production-grade Kubernetes platform is substantial, and underestimating it is one of the most common and costly mistakes in enterprise cloud programmes.
$ kubectl get nodes
NAME STATUS ROLES AGE VERSION node-01 Ready control 42d v1.29 node-02 Ready worker 42d v1.29 node-03 Ready worker 42d v1.29
Platform Capabilities
Toolchain & capabilities
Kubernetes done right is a competitive platform. Done wrong, it is a liability.
Engage our container orchestration practice to design a Kubernetes platform that your engineering teams can trust — secure, observable, and cost-optimised from the first workload.