From noise to signal: piping your way to clear observability
summary
Demo shows an actual observability pipeline built with Grafana Alloy, OpenTelemetry Collector, and Grafana Mimir/Tempo/Loki, running in a Docker Compose home‑lab. Configuration drops high‑volume metrics (example: node_cpu_seconds_total) and relabels IP addresses into human‑readable instance names before routing to Prometheus, cutting storage and query noise. The repo contains the configs and the demo proves the pipeline works end‑to‑end for noisy telemetry and gives a practical roadmap to implement filtering, parsing, and condensation.
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chapters (7)
- 0:00Introduction
- 1:29Monitoring vs observability
- 4:46Raw telemetry challenges
- 6:11Observability pipeline
- 9:19Demo: Filtering metrics with Grafana Alloy
- 13:18When pipeline needed
- 14:21Q&A
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