Fluentd: A Complete Logging Ecosystem for Kubernetes
summary
Explains how Fluentd assembles inputs, filters, file-backed buffers and outputs into a low-latency pipeline that writes JSON-like records and chunks to destinations such as MongoDB, Kafka, Elasticsearch or HDFS; shows the file buffer default that persists chunks to disk to avoid data loss on crash, the copy plugin for fan-out to multiple outputs, three container collection patterns (Docker logging driver, sidecar tailing, shared-volume), and the lightweight Fluent Bit C alternative.
AI-written summary · about
chapters (13)
- 0:00Start
- 0:27What's Fluentd
- 5:26Event structure
- 8:03Architecture Butler Plugins
- 9:403rd party input plugin
- 10:31Simple forwarding
- 11:41Multiple destinations
- 12:34Multi-tier Forwarding
- 14:29Resources
- 15:55Docker logging with
- 20:40Container Logging approach summary
- 21:25Fluents and Fluent-bit
- 22:34Container Logging with fluent-bit
related talks
33mFluentd and Distributed Logging [I]
35mIntro: Fluentd
22mLogging: Fluentd & Fluent Bit
37mFluentd: Cloud Native Logging
36mFluentd Project Intro – Eduardo Silva & Masahiro Nakagawa, Treasure Data
39mMaking Logs Work for you with Fluentd
26mKubernetes and Logging: Do It Right
34mGetting Started With Logging in Kubernetes