Kubernetes Platforms
Kubernetes was adopted for its promise of portability and scale, but the cluster is now a source of on-call pages, nobody trusts the autoscaling, and every deployment feels riskier than it should.
How we tackle it
Whether we're building a cluster from scratch or stabilizing an existing one, the same principles apply: workloads need explicit resource requests and limits, network communication should be default-deny, and configuration should be declared in Git and reconciled by a GitOps controller rather than applied by hand. For existing clusters we prioritize stopping the bleeding (fixing eviction and noisy-neighbor issues) before layering in the GitOps and policy model that prevents the same problems recurring.
Current-state pain points
- Frequent pod evictions, OOM kills, or node pressure incidents
- No resource requests/limits discipline, causing noisy-neighbor problems
- Manual kubectl apply deployments with no GitOps or rollback story
- No network policies, so any pod can reach any other pod
- Cluster upgrades are feared and delayed because of unknown blast radius
- No clear multi-tenancy model as more teams want to share the cluster
What is in scope
- Cluster architecture review or greenfield design (managed vs. self-managed)
- Networking: CNI selection, network policies, ingress/service mesh strategy
- Workload configuration standards: resource requests/limits, PodDisruptionBudgets, autoscaling
- GitOps delivery pipeline for application and cluster configuration
- Multi-tenancy and namespace isolation model with RBAC
- Upgrade strategy and node lifecycle management
Who it is for
- Teams running a self-managed or under-configured cluster with recurring stability issues
- Organizations migrating from VMs or ECS to Kubernetes for the first time
- Companies with a working cluster but no GitOps, policy, or multi-tenancy model
- Platform teams needing to support multiple product teams on shared cluster infrastructure
Prerequisites
- Cluster admin access (existing cluster) or cloud account access (greenfield)
- An application team available to validate workload standards against real services
- Existing CI/CD pipelines or agreement to adopt GitOps tooling
- Clarity on which teams/environments will share cluster infrastructure
What you end up owning
Artifacts land in your repositories and cloud accounts, with documentation to match.
- Cluster architecture document (topology, node pools, networking, upgrade strategy)
- GitOps pipeline for application and infrastructure manifests
- Workload standards and admission policies (resource limits, security context, PDBs)
- Network policy set enforcing least-privilege pod-to-pod communication
- Autoscaling configuration (HPA/VPA/cluster autoscaler or Karpenter)
- Multi-tenancy and RBAC model for shared clusters
- Runbooks for upgrades, incident response, and capacity planning
How the work is sequenced
Cluster Assessment
Audit current cluster health, resource configuration, networking, and deployment practices, or define requirements for a greenfield build.
Foundation & Networking
Establish node pool strategy, CNI configuration, and network policies as the base layer.
Workload Standards
Define and enforce resource requests/limits, autoscaling, and disruption budgets via admission policy.
GitOps Delivery
Migrate deployments to a GitOps controller with clear promotion paths between environments.
Multi-Tenancy & Handover
Implement namespace isolation and RBAC for shared usage, and hand over upgrade and incident runbooks.
What we typically use
Managed Kubernetes
GitOps & Delivery
Networking & Security
Autoscaling & Policy
What changes when this is done
Qualitative outcomes only. Any figures depend entirely on your estate, and we will not quote them before measuring.
- Fewer eviction and resource-contention incidents through enforced workload standards
- Deployments that are declarative, reviewable, and reversible via GitOps
- Reduced blast radius for cluster upgrades through a documented, tested upgrade path
- Network communication restricted to what's explicitly needed
- A multi-tenancy model that lets teams share cluster infrastructure safely
Common questions
Related service
Other solutions
Cloud Migration
Move workloads off legacy or on-prem infrastructure onto AWS, Azure, or GCP without disrupting the business.
Platform Engineering & Internal Developer Platforms
Give developers self-service infrastructure so platform and DevOps teams stop being a bottleneck.
Infrastructure Automation & IaC
Replace manual, console-driven infrastructure changes with version-controlled, reviewable Terraform.
Talk to the engineers who would do the work
Bring your current architecture, constraints and the problem you are trying to solve. We will tell you what we would change first, what it depends on, and where we would start.