Jaeger Project Deep Dive
summary
Overview of Jaeger components and deployment choices, with concrete operational details: clients emit spans to a local all-in-one image or to an agent that forwards to collectors; storage supports Elasticsearch, Cassandra and an in-memory option; agents run as sidecar vs daemonset depending on load and tenancy; exporters emit Prometheus metrics and collector queues expose tunables like queue size, workers and sampling rate. Roadmap items include adaptive sampling, a data pipeline for Spark-style analytics, and pluggable storage adapters; OAuth proxy / Keycloak is shown for securing collectors.
AI-written summary · about
chapters (14)
- 0:00Intro
- 0:30Context
- 2:22Client
- 4:42Agent
- 10:33Prometheus
- 11:46AllinOne
- 12:45Deployment
- 14:25Agents
- 16:58Multitenancy
- 17:53Lightweight
- 18:57Multitenant
- 20:26Security
- 26:25Community
- 27:26Questions








