--- title: Kubernetes Containers | Cloud Services | Claritas One description: Enterprise-grade kubernetes containers — methodology, deliverables and outcomes from the Claritas One cloud practice. url: https://claritasone.com/services/cloud-services/kubernetes-containers canonical: https://claritasone.com/services/cloud-services/kubernetes-containers kind: service source: https://claritasone.com/services/cloud-services/kubernetes-containers author: Claritas One datePublished: 2016-01-01 dateModified: 2026-04-18 updated: 2026-04-18 publisher: Claritas One --- # Kubernetes & Container Orchestration *Services / Cloud Services* > 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. [Home](https://claritasone.com/) › [Services](https://claritasone.com/services) › [Cloud Services](https://claritasone.com/services/cloud-services) › **Kubernetes Containers** ## Overview 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. 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. ## Our Approach ### 1. 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. ### 2. 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. ### 3. 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. ### 4. 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. ### 5. 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. ## Capabilities - EKS, AKS, and GKE managed cluster design, provisioning, and lifecycle management - CIS Benchmark hardening, pod security standards, and admission controller policy - Helm chart development, Helm library charts, and chart testing with ct - GitOps platform engineering: ArgoCD and Flux CD with multi-environment promotion - Service mesh implementation: Istio and Linkerd with mTLS and traffic policy - Horizontal Pod Autoscaler, Vertical Pod Autoscaler, and Cluster Autoscaler configuration - Kubernetes RBAC, namespace isolation, and multi-tenant security architecture - Cluster observability: Prometheus, Grafana, and cost attribution with Kubecost ## Outcomes | Metric | Value | | --- | --- | | Cluster availability SLA on managed engagements | **99.9%** | | Microservice workloads running on platforms we have built | **420+** | | Median compute cost reduction after autoscaler and rightsizing implementation | **35%** | | Benchmark compliance target on all cluster deliveries | **CIS Level 2** | ## Next Step **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. → [Get a proposal](https://claritasone.com/get-a-proposal) · [Contact us](https://claritasone.com/contact) --- View the live page: About Claritas One: · Contact: · All pages: