Kubernetes Consulting: When You Need It and What It Actually Solves

Kubernetes has become the de facto standard for container orchestration at scale. It's also consistently cited as one of the most complex pieces of infrastructure in the modern stack. The question isn't whether Kubernetes is powerful — it is. The question is whether your organisation is ready for it and whether it's the right tool for your problem.

What Kubernetes Actually Does

Kubernetes (K8s) is a container orchestration platform. It:

• Schedules containers across a cluster of servers
• Scales applications up and down based on load
• Self-heals by restarting failed containers and rescheduling them on healthy nodes
• Manages configuration via ConfigMaps and Secrets
• Handles networking between services via Service objects
• Manages storage via Persistent Volumes
• Controls rollouts and rollbacks via Deployments

For a team running 5 containerised services with modest traffic, this is massive overkill. For a team running 50 services at high traffic with strict availability requirements, it's the right foundation.

When Kubernetes Is the Right Choice

• You're running 10+ services that need independent scaling
• You have strict SLAs and need self-healing infrastructure
• You need to run multiple environments (dev, staging, prod) on shared infrastructure
• Your team has or is building platform engineering capability
• You're on a major cloud provider (EKS, GKE, AKS) and want managed control planes

When Kubernetes Is Overkill

• You're a startup with fewer than 5 services
• Your team doesn't have Kubernetes expertise internally
• You can achieve your goals with AWS ECS, Fly.io, Railway, or Render
• Your primary concern is speed to market, not operational sophistication

This isn't a criticism of Kubernetes — it's a question of fit. Over-engineering infrastructure at the wrong stage is a common and expensive mistake.

The Kubernetes Learning Curve

Kubernetes introduces new concepts that take time to internalise:

• Pods, Deployments, ReplicaSets, StatefulSets, DaemonSets
• Services, Ingress, NetworkPolicy
• ConfigMaps, Secrets
• PersistentVolumes, PersistentVolumeClaims, StorageClasses
• RBAC, ServiceAccounts, ClusterRoles
• Helm charts and operators

Beyond the concepts, operating Kubernetes requires expertise in:

• Cluster upgrades (without downtime)
• Node management and autoscaling
• etcd backup and restore
• Certificate management (cert-manager)
• Ingress controllers (nginx, Traefik, Gateway API)
• Service mesh (Istio, Linkerd) if required

This is why Kubernetes consulting exists. The learning curve is real.

What Good Kubernetes Consulting Includes

Cluster design and setup

• Node pool sizing and autoscaler configuration
• Namespace strategy and RBAC design
• Networking (CNI selection, network policies)
• Storage class configuration
• Multi-environment strategy

Application migration

• Containerising applications that aren't already containerised
• Writing Deployments, Services, and Ingress manifests
• Helm chart creation for reusable deployment packaging
• Secret management integration (External Secrets Operator, Vault)

GitOps and CI/CD

• ArgoCD or Flux for declarative cluster state management
• Pipeline integration for automated image builds and deployments
• Progressive delivery (canary, blue-green) with Argo Rollouts or Flagger

Observability

• Prometheus + Grafana for metrics
• Loki for log aggregation
• Jaeger or Tempo for distributed tracing
• Alertmanager for on-call alerting

Security hardening

• PodSecurityAdmission configuration
• Network policies for zero-trust networking
• Image scanning in CI/CD (Trivy, Snyk)
• RBAC review and least-privilege principle

Cost optimisation

• Resource requests and limits tuning
• Horizontal and Vertical Pod Autoscaling
• Cluster autoscaler configuration
• Spot/Preemptible instance strategy

Managed Kubernetes vs Self-Managed

For most organisations: use managed Kubernetes. EKS (AWS), GKE (Google), or AKS (Azure) handle the control plane, upgrades, and most of the operational complexity. The cost premium over self-managed is worth it for almost every team.

Talk to our infrastructure team about your container orchestration needs — we'll help you decide if Kubernetes is right for you and build it properly if it is.