Improve observability for your container workloads
summary
Shows how to stitch Kubernetes metrics, parsed logs and distributed traces into a consolidated service map and a single queryable events store, using existing cloud logging, graph metrics and Lambda-based automation. Describes building composite alarms and dashboards, parsing logs by timestamp/message fields, and triggering automated remediation via Lambda. Claims a practical outcome of ~30% fewer noisy alerts and faster detection of anomalous request patterns, supporting both realtime incident alarms and long‑term capacity planning.
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chapters (8)
- 0:00Introduction to observability
- 1:53What are available signals
- 12:07Real time monitoring and alerts
- 22:23Understanding metrics in depth
- 24:13Types of alarms and setup
- 30:08Graphs and long-term trends
- 36:22Best practices and community
- 39:53Summary and Q&A
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