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Trends in Observability and Alerting

Making sure your production system is well behaved is table stakes for any SaaS. The space around monitoring and alerting is complex and moving fast, so it is too easy to end up with results that are worse than useless. Alert fatigue is real and developers must learn to avoid this. Shahar and Tal, founders of Keep and active SaaS Developer community members joined me to discuss - why is observability so complicated, how alerts fit in, and a lot of best practices for alerting. If you feel like you have good handle on your alerts today, you should skip to minute 23:40 - where we talk about the future. CI/CD for alerts, semantic layer for alerts and how AI will recommend alerts + ways to resolve them. Links: The big observability survey: https://grafana.com/observability-sur... Problems in Alerting blog:   / current-problems-in-the-alerting-space   Our episode about SLO with Ken Finnegan from Workday:    • SLO - Best Practices for Reliable SaaS   SaaS Developer Slack: https://launchpass.com/all-about-saas ----- 00:00 intros 02:45 Map of Observability 05:20 OpenTelemetry drove adoption 07:20 OpenTelemetry Ecosystem? 08:55 Big trend in Observability - consolidation 11:03 What do we do with the data? 12:21 types of alerts 15:30 too many alerts 16:52 blame micro services 19:00 Improving alerts 20:20 More challenges with alerts23:40 Alerts are code and need dev tools 29:00 Alerts are like tests for post-production 31:30 Semantic layer for alerts 33:03 Alerting with GPT4 34:45 One bit of alerting advice