The Open Source Solution That Actually Works
summary
Claims a single open-source stack collects logs, metrics, traces and CPU profiles and shows them together; demo runs Grafana in Docker with Prometheus, Loki, Tempo, Mimir and Pyroscope via OpenTelemetry and an LGTM P stack, and it surfaces data without writing queries. Shows a queryless drill-down into metrics, logs, traces and flame graphs, illustrates dashboards-as-code with Git push/PR sync, and confirms the demo pipeline starts, ingests data and displays correlated observability in one Grafana UI.
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chapters (21)
- 0:00Introduction
- 1:49Tech challenges and friction
- 3:34Sample Java app
- 4:57Monitoring with Grafana & Prometheus
- 6:21Monitoring fails in modern envs
- 7:44Observability fundamentals
- 9:48Profiling as observability pillar
- 10:29Grafana complete observability
- 11:55LGTM stack components
- 13:21Grafana 12 drill-down app
- 14:27Live demo of LGTM stack
- 15:31Configuring Java apps for observability
- 16:15Metrics in drill-down app
- 16:36Logs without complex queries
- 17:01Analyzing traces in Grafana
- 17:23Profiling with Pyroscope
- 18:07MySQL database observability
- 19:32Alerting in Grafana
- 20:59Creating alert rules
- 22:45Dashboard as code
- 24:13Key takeaways and community resources
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