Open Source for Better Observability
summary
Argues that open source and open standards are the practical path to observability, showing concrete stacks: Prometheus for metrics, Jaeger for traces and ELK for logs, plus OpenTelemetry for uniform instrumentation. Cites surveys: about 5 or more tools in half of orgs and 1/3 using 10+, causing siloed data. Demonstrates a live pipeline on logs.io that correlates a Prometheus-style metric spike to a Jaeger trace and to Cassandra cache-eviction exceptions in Kibana, which identifies the root cause.
AI-written summary · about
chapters (17)
- 0:00Introduction
- 1:10Quiz
- 4:35Monitoring
- 5:05Observability
- 7:51Open Source
- 8:58CNCF Survey
- 11:33Observability Pillars
- 12:03Metrics
- 16:50Logs
- 19:31Traces
- 21:43Live Demo
- 29:11Common Mistakes
- 31:35Open Telemetry
- 33:28Open Telemetry Collector
- 34:28LogsIO
- 35:36Conclusions
- 37:38QA
related talks
28mOpen Source for Better Observability
42mOpen Source for Better Observability
13mArchitecting an open observability stack
30mIs Building an Observability Platform with Open Source the Right Choice?
12mOpen-source observability is the way forward, and here’s why
50mOpen Telemetry: The Rise of Open Standards in Observability
25mUnifying Observability: Weaving Prometheus, Jaeger, and Open Source Together to Win
01h 02mDesigning an open-source observability stack for Kubernetes