
Performance, Measured: Percentiles, Profiling and the Laws That Decide What's Worth Optimizing
The single most expensive habit in performance work is optimizing by gut feel…
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22 posts
The single most expensive habit in performance work is optimizing by gut feel…
The invoice email lands and your AI spend is 4× last week. The instinct is to…
Every engineer eventually faces the same 2 AM moment: something is wrong in…
There’s a trap waiting at scale that nobody warns you about until the invoice…
Everything in this course has been building toward this moment: it’s 2 AM, an…
“It’s slow” is one of the most common and most slippery problems in production…
“Is the service reliable enough?” is a question teams argue about endlessly and…
An alert is a promise to interrupt a human — to pull them out of dinner, out of…
Metrics tell you something is slow; logs tell you what happened at one point…
The previous lessons showed what to emit — structured logs, metrics, traces…
Logs are the oldest and most familiar observability signal — everyone has…
Every engineer who’s run software in production knows the feeling: an alert…
Observability rests on three kinds of telemetry, usually called the three…
Metrics are the workhorse of observability — the cheap, aggregatable numbers…
You’ve collected logs, metrics and traces. Now a human has to use them — often a…
Everything so far gets your app running on Kubernetes. This final lesson is…
Here’s a question I like to ask in interviews: “A customer says checkout took 1…
Every second LinkedIn post today is about AI agents. Most of them show a demo…
A support executive pinged me on a Saturday morning: “The bot told a customer…
Most LLM tutorials stop at “call the API and print the result.” Production doesn…
Traditional application monitoring asks: “Is the server up? Is latency…
Observability is not about collecting data. It is about answering questions when…



