Kubernetes in Production: What Actually Matters

April 4, 2026 • 10 min read • Cloud

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Tutorials make Kubernetes look simple. Real production is different. Here is what actually matters after dozens of client engagements.

Managed Control Plane

EKS, GKE, or AKS. Self-managing etcd is a full-time team.

Observability Day One

Prometheus, Grafana, log aggregation, distributed tracing before first incident.

Resource Requests/Limits

Profile actual usage, set requests at p95, limits with headroom. Revisit quarterly.

Network Policies

Default pod-to-pod is open. Enforce least privilege. Our security consultants baseline this.

Who This Is For

  • Infrastructure and platform engineering teams
  • SREs responsible for uptime and cost at scale
  • Engineering leaders choosing between build and buy

Common Mistakes

  • Multi-cloud complexity without a concrete business need
  • Ignoring FinOps until the bill becomes a board-level issue
  • Treating cloud as a data center rather than a platform

Business Impact

  • 25-40% cloud cost reduction with zero performance loss
  • Multi-region resilience without multi-cloud tax
  • Platform that scales independently of headcount

Frequently Asked Questions

Overkill for small teams?

Often. Cloud Run, ECS Fargate are faster to ship.

Service mesh?

Istio/Linkerd solve real problems at real cost. Adopt when you can name the problem.

Stateful workloads?

Use managed DBs. Keep K8s for stateless.

Why AIM Tech AI

  • Custom-built systems, not templates or off-the-shelf wrappers
  • AI + backend + cloud + infrastructure expertise in one team
  • Built for production scale, not demo-day experiments
  • Beverly Hills, California — serving clients worldwide

Build Systems, Not Experiments

AIM Tech AI designs and ships AI, cloud, and custom software systems for companies ready to turn technology into real business advantage.

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