Jaeger Intro and Deep Dive
summary
Jaeger is an open source distributed tracing backend (born at Uber ~2015, CNCF-graduated) that handles billions of requests/day across thousands of services; demo traces show depths of 16 and 32 services involved. Deployment is via a Jaeger CRD with strategies all-in-one (in-memory by default), production or streaming (uses Kafka + ingesters), storage options include Elasticsearch or Cassandra, and the operator injects an agent sidecar (or daemonset) and supports remote sampling and HPA-based auto-scaling max 100.
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chapters (19)
- 0:00Intro
- 4:19Modern Distributed Systems
- 5:22Context Propagation & Distributed Tracing
- 7:50Jaeger, a Distributed Tracing Platform
- 11:54Let's go!
- 12:47Getting Started
- 14:30Creating a Cluster
- 15:51Strategies: Single Binary
- 16:17Strategies: Production/Streaming
- 17:07Storage Configuration (backend)
- 17:39Storage Configuration (kafka)
- 18:15Detailed Configuration
- 19:59Agent Strategy (Sidecar)
- 21:23Agent Strategy (DaemonSet)
- 22:37Remote Sampling
- 23:52Autoscaling Collectors and Ingesters
- 25:11Operator Integrations
- 26:30Advanced Operations
- 27:28Resources
