Tagged: Observability
01
High-Throughput Logging: Scaling Observability to Internet Scale
When your systems hit hundreds of thousands of requests per second, traditional logging collapses. Here is how to rethink collection, sampling, and export for extreme scale.
02
Alert Fatigue Is an Observability Problem
Every alert that fires is doing its job. That is the problem. The model is wrong, not the thresholds.
03
Observability 1.0 meant forensics. Observability 2.0 means prevention.
Observability 1.0 taught us to look backward. Observability 2.0 asks us to look forward. Most teams haven’t made that shift yet. That’s why I named this site after a medieval divination practice.