Building Observability into Cloud-Native Applications
summary
Defines three pillars: logs metrics traces and gives five implementation steps: instrumentation central store visualization contextualization automation Names Prometheus OpenTelemetry Jaeger Zipkin Grafana Kibana Elasticsearch Filebeat Fluent Datadog New Relic Honeycomb and recommends filtering metrics and structured logs to cut noise Observability finds a periodic ecommerce slowdown, traces point to a slow database query, optimizing the query and autoscaling the service reduces latency and cuts mean time to resolution dramatically
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chapters (9)
- 0:00Introduction to Observability
- 1:09The Three Pillars of Observability
- 2:55Importance of Observability in Cloud Native Applications
- 4:30Consequences of Lack of Observability
- 6:47Steps to Implement Observability
- 8:49Popular Tools and Technologies
- 12:09Best Practices for Observability
- 14:51Case Study: Troubleshooting with Observability
- 15:51Conclusion
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