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Infrastructure·advanced

Kubernetes

Container orchestration at scale

Kubernetes powers my larger deployments. I design cluster architectures, implement GitOps workflows, and optimize for reliability and cost.

5+years in production
30+projects shipped
advancedproficiency

My take

Why I use Kubernetes

Kubernetes is overkill for most apps and exactly right for the others. When I have a real microservice fleet, multi-region needs, or a heterogeneous workload mix, K8s is the most predictable home.

Want the broader stack philosophy? Read about how Sri picks tools or browse engineering insights.

Honest assessment

Strengths & tradeoffs

No tool is perfect. Here's what shines and what to watch for.

Strengths

  • Declarative model with strong reconciliation
  • Massive ecosystem (Helm, ArgoCD, Istio, Prometheus)
  • Portable across clouds
  • Excellent autoscaling primitives
  • Industry-standard skill set

Tradeoffs (honestly)

  • Steep operational learning curve
  • Easy to over-engineer simple systems
  • Costly idle capacity if mis-sized
  • Upgrades and CRD management require diligence

Fit assessment

When to reach for Kubernetes

Pick the right tool for the job.

Best fits

Multi-service production platforms

Multi-region or hybrid cloud deployments

Workloads needing fine-grained autoscaling

Platforms hosting many internal services

Not ideal for

Simple monoliths better served by Cloud Run or Vercel

Teams without a platform engineering function

Cost-sensitive small workloads

Common use cases

Production deploymentsMicroservicesMulti-region architectures

Resources

Learn more

Curated official docs, tutorials, and writing on Kubernetes.

Infrastructure

More in this category

Tools that define how systems run in production.

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Need help with Kubernetes?

Whether you're starting fresh or optimizing an existing implementation, I can help you get the most out of this technology. Read more in insights or get in touch.

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