We want to centralize log collection so we can make it available for real-time or offline aggregation and analysis. This plays along nicely with twelve-factor apps, which send their logs as a stream to stdout.īut in production we need to make sure the logs are preserved after we stop and remove a container.
And you can even use docker-compose logs to combine the logs from several containers at once. The Docker client supports flags like -tail or -follow that make it easier to digest large logs. When you run docker logs, the Docker client asks the runtime (either the Docker Engine or Triton) for an HTTP stream of that JSON data, which it then parses for your terminal. The default is the json-file log driver, which means the output of your application is being persisted in JSON format on the compute node where your container is running. You're already using a log driver with Docker whether you know it or not. In the future we'll support rotating Docker logs to our Manta object store, which will provide a new way to manage your log data. On Triton we recently added support for the syslog, Graylog, and Fluentd log drivers.
#DOCKER SYSLOG TAG FILE DRIVERS#
But this is just one way that Docker provides to access logs Docker log drivers support protocols that can centralize logs for aggregation and analysis.
During development, we can use docker logs to get a stream of logs from a container.
Logs contain valuable data for informing the operation of your containerized applications.
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