Monitoring Reactive Applications

on YouTube ↗41m

" summary

Reactive systems require tracing across async hops not stack traces, so this work builds a monitoring approach that instruments Akka/Play/Scala apps, emits lightweight events with distributed tracing with traceID/parentID, and trades detail for cost via sampling and delta reporting. It contrasts push backends (StatsD) with pull-based Prometheus, explains dynamic config to enable focused tracing, and describes a Lightbend monitoring product running about a year that collects metrics, traces and anomaly detection while warning that full-event logging can overwhelm clusters.

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" chapters (25)

1. 0:00Intro
2. 0:29What is Monitoring?
3. 0:50Monitoring Categories
4. 1:29Types of Monitoring • System Monitoring • Business Activity Monitoring
5. 2:51Traditional Monitoring: Metrics and Debugging
6. 6:33Architecture Shift : Cloud Computing
7. 9:18Architecture Shift : Business Impact
8. 10:02Architecture Shift: The Result
9. 10:27Architecture Shift: Enter Reactive
10. 11:42Architecture Shift: Freedom for all!
11. 14:28Monitoring Reactive Applications: The Challenge
12. 16:50Monitoring Reactive Applications: Tracing
13. 18:35Monitoring Reactive Applications: Dapper
14. 19:36Monitoring Reactive Applications: Trace Info.
15. 20:10Monitoring Reactive Applications: Trace Events
16. 21:19Monitoring Reactive Applications: Lightbend Monitoring
17. 22:58Monitoring Reactive Applications: Cost Mitigation
18. 24:11Trends in Monitoring: Configuration
19. 25:29Trends in Monitoring: Dynamic Configuration
20. 27:17Trends in Monitoring: Pull/Push - Metrics Transfer
21. 27:49Trends in Monitoring: Pull/Push - Discoverability
22. 28:31Trends in Monitoring: Pull/Push - System Status
23. 34:09Trends in Monitoring: Self Monitoring
24. 37:02Best Practice
25. 40:11Lightbend Monitoring: What is next?

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