Maria Gomez at The Lead Developer New York 2017
summary
Claims that observability makes microservices maintainable in production and then explains how: use service discovery: client/server-side registries to handle dynamic instances, centralize logs and agree a format then ship to centralized logs (Elastic), collect and aggregate metrics with a tool like Prometheus and add health checks plus synthetic monitoring across flows to catch business-level regressions, and attach correlation IDs to requests so distributed errors trace back to a root cause.
AI-written summary · about
chapters (7)
- 0:00Introduction
- 3:10Discovery
- 5:54Monitoring
- 7:30Monitoring Matrix
- 8:28Endpoints
- 9:22Synthetic Semantic Monitoring
- 12:51Debugging
related talks
33mEffective observability in microservice architectures
40mObservability in a Microservice World
39mObservable microservices
24mMonitoring Microservices The Right Way
35mMonitoring Microservices
25mAutomatic Microservices Observability with Open-Source Progr
50mZen State, and Observability of Your Inner Microservice
40mFrom Monolith to Observable Microservices using DDD
