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aws observability maturity model
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Classroom Contents
Observability for Modern Event-Driven Applications
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- 1 intro
- 2 preamble
- 3 bank xxx - newsletter
- 4 event-driven architectures eda
- 5 what is an event
- 6 why customers are moving to event-driven applications
- 7 but... eda is hard to get it right!
- 8 what is observability?
- 9 eda: based on domain driven design ddd and events
- 10 eda: based on ddd and events
- 11 observability matters because
- 12 traditional monitoring layers
- 13 when you do eda on aws...
- 14 aws observability maturity model
- 15 three pillars of observability
- 16 amazon cloudwatch - inbuilt metrics
- 17 cloudwatch built-in metrics
- 18 metrics - namespaces and dimensions
- 19 built-in metrics often not enough
- 20 lambda insights
- 21 structured and cetralized logging
- 22 standard structured logging
- 23 query cloudwatch logs insights
- 24 ai-powered natural language query generation
- 25 use cloudwatch anomaly detection alarms
- 26 challenges with logs analysis
- 27 pattern analysis in logs insights
- 28 aws x-ray
- 29 enable x-ray tracing
- 30 aws lambda powertools
- 31 bringing it all together
- 32 cloudwatch servicelens
- 33 best practices for observing event driven applications
- 34 summary - use observability to get eda right
- 35 further reading, thank you!
