▸ Tag · #kubernetes
Kubernetes.
Kubernetes when it earns its complexity — pods and sidecars, KEDA-driven autoscaling, and the many cases where Docker Compose was already enough.
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DevOpsDocker vs Kubernetes: containers vs orchestration
Docker packages your app into a portable box; Kubernetes manages a fleet of them across a cluster. How they differ and when you need orchestration.
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DevOpsDNS vs service discovery
DNS was built for servers that live for years; microservices live for minutes. Why service discovery beats stale DNS records for high-churn systems.
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DevOpsContainer vs pod: the building blocks
A container is the package; a Pod is the execution environment. How Kubernetes Pods share networking and storage, and when sidecars earn their keep.
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CareerSRE vs Platform Engineer: who to hire for scale
SRE vs Platform Engineer compared: reliability versus developer experience, what each role owns, and which one your team needs to hire first.
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ArchitectureSmart auto-scaling for modern AI apps
CPU auto-scaling fails GPU workloads. Why queue depth, KV-cache pressure, and TTFT beat CPU as triggers, plus the KEDA patterns to scale AI in time.
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ArchitectureMonolith to microservices: a pragmatic guide
Skip the big-bang rewrite. The strangler fig pattern, anti-corruption layers, and Docker-first steps to move from monolith to microservices safely.
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