Observability for Modern Event Driven Applications | Urmila Raju | Conf42 Observability 2024
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Chapters
0:00 intro
0:26 preamble
0:43 bank xxx - newsletter
observability for modern event driven applications
2:14 event-driven architectures (eda)
2:50 what is an event
3:23 why customers are moving to event-driven applications
4:35 but... eda is hard to get it right!
6:31 what is observability?
8:13 eda: based on domain driven design (ddd) and events
9:48 eda: based on ddd and events
10:20 observability matters because
10:59 traditional monitoring layers
11:16 when you do eda on aws...
13:39 aws observability maturity model
14:05 three pillars of observability
viewing standard metrics
15:45 amazon cloudwatch - inbuilt metrics
16:35 cloudwatch built-in metrics
20:59 metrics - namespaces and dimensions
creating custom metrics
21:49 built-in metrics often not enough
23:16 lambda insights
26:01 structured and cetralized logging
28:00 standard structured logging
29:08 query cloudwatch logs insights
30:25 ai-powered natural language query generation
32:43 use cloudwatch anomaly detection alarms
log patterns
34:17 challenges with logs analysis
35:41 pattern analysis in logs insights
tracing
36:28 aws x-ray
38:34 enable x-ray tracing
38:51 aws lambda powertools
39:46 bringing it all together
40:25 cloudwatch servicelens
40:47 best practices for observing event driven applications
44:30 summary - use observability to get eda right
44:44 further reading, thank you!
