
Should You Run Databases on Kubernetes? A Honest Assessment
An honest assessment of running databases on Kubernetes from someone who's tried it. When it works, when it doesn't, and what you need to get right.

An honest assessment of running databases on Kubernetes from someone who's tried it. When it works, when it doesn't, and what you need to get right.

A senior architect's honest take on Kubernetes, Docker, and containers. What they are, when you need them, and when you absolutely don't.

A practical guide to Kubernetes autoscaling: how HPA, VPA, KEDA, and Cluster Autoscaler work, when to use each, and how to avoid the pitfalls that catch most teams.

A deep dive into Kubernetes CPU requests, memory limits, QoS classes, LimitRange, and ResourceQuota. Learn why pods get OOMKilled and evicted, and how to right-size your workloads for reliable production clusters.

A deep dive into Kubernetes pod scheduling: how the scheduler works, when to use taints vs affinity, topology spread constraints for HA, PriorityClass for preemption, and the production patterns that actually matter.

A principal cloud architect's honest take on when Docker Compose is the right production tool and when Kubernetes complexity is genuinely justified. Includes a decision framework, real failure modes, and migration signals.

A hands-on comparison of AWS EKS, Google GKE, and Azure AKS covering control plane architecture, networking, cost models, AI workloads, and a practical framework for choosing the right managed Kubernetes platform.

A practical guide to Helm, the de facto Kubernetes package manager: core concepts, chart design patterns, Helmfile for multi-environment management, and what Helm 4's server-side apply changes for your production clusters.

The honest guide to choosing between managed container platforms and Kubernetes: when Cloud Run, Fargate, and Container Apps save you real money and headaches, and when you actually need the real thing.
Practical deep dives on infrastructure, security, and scaling. No spam, no fluff.
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