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Docker swarm and fluentd logging driver

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I tried to record some logs for front-end nginx-based containers using fluentd docker logging driver, but failed.

I ended up with following configuration for fluentd (located in /tmp/fluentd/fluent.conf):

<source>  @type forward  port 24224  bind 0.0.0.0</source><match **-**>  @type stdout</match>

and following docker swarm manifest:

version: '3.8'networks:  base:services:  fluentd:    image: fluent/fluentd:v1.17.0-1.0    volumes:      - /tmp/fluentd:/fluentd/etc    ports:      - 24224:24224    networks:      - base  test-curl:    image: alpine    command: sh -c "apk add curl && while true; do curl fluentd:24224; sleep 5; done"    depends_on:      - fluentd    networks:      - base  test-service:    image: nginx:1.25    depends_on:      - fluentd    logging:      driver: fluentd      options:        # fluentd-address: host.docker.internal:24224 # this line routes queries via docker host        fluentd-address: fluentd:24224 # this line tries to send logs directly to fluentd container        tag: something    networks:      - base

This configuration runs fluentd service and two test services. First (with alpine-based curl test) works fine. Second, with fluentd driver, does not. It fails to start with following message:

> docker service ps fluentd-test_test-service --no-trunc...<...>    \_ fluentd-test_test-service.1   nginx:1.25@sha256:<...> docker-desktop   Shutdown        Failed 22 seconds ago   "starting container failed: failed to create task for container: failed to initialize logging driver: dial tcp: lookup fluentd: i/o timeout"...

Looks like for some reason it can't see fluentd container in the very same network.But, as I am commenting out marked line and uncomment line with host.docker.internal address, everything works as intended.

Running under WSL2 (2.1.5.0, kernel 5.15.146.1-2), Docker 26.1.1, Windows 10.0.19045.4412

What I tried:

  • upgrading docker
  • upgrading wsl
  • upgrading fluent/fluentd
  • diagnosing fluentd (open ports, accessibility, dns resolution -- works fine)
  • inspecting all docker objects (looks absolutely normal)
  • asking chatgpt

Please, any ideas will be appreciated.


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