Cloud & DevOps
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GitOps Removed the CI Server’s Keys to Production
A pipeline pushing to a cluster needs credentials for that cluster. An agent pulling from Git needs none, and that…
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Connection Pool Sizing Is Not a Bigger-Is-Better Problem
Raising the pool size to fix timeouts usually makes throughput worse, because the database was already saturated and the queue…
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Autoscaling Is Always Too Late for a Sudden Spike
The gap between detecting load and serving traffic runs from tens of seconds to minutes, which is longer than most…
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Kubernetes Requests and Limits Are Where Cost and Reliability Collide
Requests decide scheduling and billing. Limits decide throttling and eviction. Confusing the two produces either wasted spend or mysterious latency.
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High-Cardinality Labels Are Why Your Metrics Bill Exploded
Adding a user ID as a metric label multiplies your time series by your user count, and monitoring systems price…
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Infrastructure Drift Is Guaranteed Unless You Detect It
Someone will change infrastructure through the console during an incident. The question is whether your tooling notices before the next…
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Multi-Cloud Is Usually a Result, Not a Strategy
Few organisations deliberately design for two providers from day one. Most arrive there through acquisitions, and the arrival is more…
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Your Dashboards Are Lying: Monitoring vs Observability in Practice
Dashboards answer questions you thought of in advance. Production failures are the questions you did not. Here is what actually…
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Blue-Green and Canary Deployments Solve Different Problems
Blue-green optimises for instant rollback. Canary optimises for limiting blast radius. Choosing wrongly means paying the costs of one while…
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Your Kubernetes Bill Is Mostly Waste — Here Is Where It Hides
Most Kubernetes clusters run at under 20% CPU utilisation while their owners pay for 100%. The waste is structural, predictable,…
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