Logs show one request. Traces show a path. Metrics show the shape of the whole system. Here is the prom-client setup that turns your Node.js service from a black box into a dashboard you can read at 2 a.m., with the four metric types, the Express middleware, and the PromQL queries that actually predict failures.
The "logs, metrics, traces" framework gets repeated everywhere and obscures what observability is actually about: asking new questions of your system. Here is the alternative framing, high-cardinality events, and the practical setup that gets you the actual capability.
Most postmortems are theatre: a Google Doc with a timeline and three action items that nobody owns. The version that actually prevents the next incident has six properties: it's blameless, focuses on the system, has owned action items, and gets shared widely. Here is the template and the rules.
Most teams adopt SLOs by copying Google's book and end up with 30 dashboards nobody reads. The version that earns its keep is two SLIs per service, an error budget that drives real decisions, and a quarterly review. Here is the working setup and the rule that keeps SLOs from becoming bureaucracy.