Docker Container Logging
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- Warren McBride
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1 Docker Container Logging Default logging behavior Docker natively streams STDOUT and STDERR from a container into a built-in logging service. In order to make use of this services, applications must be setup to output to STDOUT or STDERR. This is typically done by tailing the log file and is usually built into the image. The table below is a listing of the key log files that will need to be streamed to STDOUT. Application Logfile Description Example Tomcat catalina.out tail -f /opt/apache/apache-tomcat /logs/catalina.out Tomcat localhost.out JBOSS server.log JBOSS <application>.log (i.e. webease.log) Apache Docker logs command Docker makes the log messages sent to STDOUT and STDERR visible using the following command: Usage: docker logs [OPTIONS] CONTAINER examples: [ppeters@dockerdmz1 ~]$ docker logs elegant_heisenberg elegant_heisenberg is the name of the container // where [ppeters@dockerdmz1 ~]$ docker logs -f elegant_heisenberg // the -f option follows the log output, similar to tail -f By exposing the logs of a container using this command, Docker has created a very lightweight mechanism for logging that is very useful. This is especially the case for simple environments where the entire application stack resides in a single container. As applications become more complex and involve multiple containers, using the docker logs command doesn't scale. Docker maintains a log file for the container. The logs will be available as long as the container exists (whether it is running or not), but once the container is removed the logs are also removed. There is no historical record. Running syslog inside each container One of the initial approaches to centralizing the logs in a more scalable way is to run a logging process (like syslog or rsyslog) in each container. This has the advantage of using a familiar logging toolset to capture logs. The major disadvantage of this approach is it breaks the best practices guidelines of running a single process per container.
2 Logging to a common volume One approach to creating a more scalable logging architecture for containers without running extra processes in the container is to have each container write their logs to a common storage volume. Then a log collector (like syslog) could be run on the docker host or as a container to ship the logs off to the central log collector. Since it is common practice to write log messages to files and use tools like syslog to retrieve those messages and push them to a log collector, this a familiar architecture. In other words, the tools we use to rotate and ship logs are the same as we use in today's infrastructure. There are two major disadvantages to this architecture. First of all, this architecture is not portable because it relies on the infrastructure pre-setup on the host - the shared volume and a syslog service. The second issue with this design is the shared volume. This has been seen by some security experts as a risk because all containers are writing to the same shared volume. Logging forwarders or sidekicks Another logging strategy for Docker is to use logging forwarders or sidekicks. Typically, these are additionally containers that are deployed along with the application. The diagram below shows two approaches. In the top option, container one (C 1) hosts the application and writes logs to a storage volume that is shared with container two (C 2). Container two runs a logging process like syslog to ship the logs to the log collector. The option in the lower part of the diagram shows a different technique that utilizes the native docker logging and APIs. Container three (C 3) hosts the application and is sending logs to STDOUT and STDERR. Container four (C 4) mounts the Docker Unix docker to retrieve the logs from container three (and other containers too) and forwards them to the log collector. The most common example of a log forwarder that does this is
3 Logspout. The advantage of this architecture over the previous option is portability. The logging service can be packaged up with the application so that they can be deployed together. The major disadvantage of this approach is the overhead associated with always having to provision a logging service along with your application. Docker logging drivers The most recent approach to logging is to use the logging drivers provided with Docker. Logging drivers were introduced in Docker 1.6 which was released in April In the 1.6 release there were two logging drivers supported: json-file and syslog. In the current Docker 1.9 release the following logging drivers are available: json-file, syslog, journald, fluent, gelf, and awslogs (AWS Cloudwatch). A log driver can be set when the Docker engine daemon is started or each time a container is started. Below is the syntax for changing the logging driver: [ppeters@dockerdmz1 ~]$ docker run --log-driver=syslog... & STDERR from container to the Docker host's syslog engine //sends STDOUT [ppeters@dockerdmz1 ~]$ docker run --log-driver=syslog --log-opt syslog-address=tcp:syslog.cc.emory.edu: //sends STDOUT & STDERR from container to syslog [ppeters@dockerdmz1 ~]$ docker --log-driver=syslog... //sets the default log driver of the Docker daemon to syslog - options like the one above can also be used The logging driver takes the STDOUT and STDERR streams and sends them to the specified logging collector. In the diagram below, containers one through four were configured at runtime to send their logs to the log collector. In this example, all of the containers are sending their logs to the same log collector. This does not have to be case. Each container could be setup to send to a different Log collector. (Not sure why we want to do that.) When a logging driver like syslog is chosen the logs are no longer visible using the docker logs command.
4 Docker Logging Comparison The table below does a simple comparisons of the various options presented above. As you can see, the research we have done suggests that we should use the Docker log drivers. Logging Option Scalable Portable Secure Persistent Centralized Built-in Docker logs command Syslog on each container Log to a shared volume Use a sidekick/forwarder Docker logging drivers Quick Definitions: Scalable - Able to log at scale without the need for extra processes or containers Portable - Able to deploy in any Docker environment without the need for a common underlying storage volume or existing syslog service Secure - Does not require all containers to share the same storage volume Persistent - Logs are maintained even after containers are removed Centralized - Logs are stored in a common logging infrastructure Built-in - Able to output logs from containers using features native to Docker (i.e. no additional services are required) Docker Demo // Demo 1: Using the log-driver to send to the host syslog daemon ppeters@dockerdmz1 log]$ docker run --log-driver=syslog -d ubuntu /bin/sh -c "while true; do echo Hello World; sleep 1; done" [ppeters@dockerdmz1 log]$ docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 3d b ubuntu "/bin/sh -c 'while
5 tr" 10 minutes ago Up 7 seconds cocky_archimedes [ppeters@dockerdmz1 log]$ sudo tail -f /var/log/messages Nov 19 15:06:38 dockerdmz1 docker/3d b[11040]: Hello World Nov 19 15:06:39 dockerdmz1 docker/3d b[11040]: Hello World Nov 19 15:06:40 dockerdmz1 docker/3d b[11040]: Hello World Nov 19 15:06:41 dockerdmz1 docker/3d b[11040]: Hello World Nov 19 15:06:42 dockerdmz1 docker/3d b[11040]: Hello World Nov 19 15:06:43 dockerdmz1 docker/3d b[11040]: Hello World Nov 19 15:06:44 dockerdmz1 docker/3d b[11040]: Hello World Nov 19 15:06:45 dockerdmz1 docker/3d b[11040]: Hello World Nov 19 15:06:46 dockerdmz1 docker/3d b[11040]: Hello World Nov 19 15:06:47 dockerdmz1 docker/3d b[11040]: Hello World Nov 19 15:06:48 dockerdmz1 docker/3d b[11040]: Hello World //Log on to logview.service.emory.edu [ppeters@logaccessprod1 ~]$ cd /var/uts/today/srvr/dockerdmz1.cc.emory.edu/ [ppeters@logaccessprod1 dockerdmz1.cc.emory.edu]$ tail -f daemon.log Nov 19 15:06:38 dockerdmz1.cc.emory.edu Hello World Nov 19 15:06:39 dockerdmz1.cc.emory.edu Hello World Nov 19 15:06:40 dockerdmz1.cc.emory.edu Hello World Nov 19 15:06:41 dockerdmz1.cc.emory.edu Hello World Nov 19 15:06:42 dockerdmz1.cc.emory.edu Hello World Nov 19 15:06:43 dockerdmz1.cc.emory.edu Hello World Nov 19 15:06:44 dockerdmz1.cc.emory.edu Hello World Nov 19 15:06:45 dockerdmz1.cc.emory.edu Hello World Nov 19 15:06:46 dockerdmz1.cc.emory.edu Hello World Nov 19 15:06:47 dockerdmz1.cc.emory.edu Hello World Nov 19 15:06:48 dockerdmz1.cc.emory.edu Hello World //Notice the logs on logview do not have the docker/container ID // Demo 2: Using the log-driver and logging options to send directly to the syslog service [ppeters@dockerdmz1 ~]$ docker run --log-driver=syslog --log-opt syslog-address=tcp://syslog.cc.emory.edu:514 -d ubuntu /bin/sh -c "while true; do echo Hello World; sleep 1; done" 8e499df423dd706b4f3daecdaeb08f8698baa08c0c385bee91b86dd84eccec37 [ppeters@dockerdmz1 ~]$ docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 8e499df423dd ubuntu "/bin/sh -c 'while tr" 5 seconds ago Up 4 seconds grave_mestorf //Notice there are no container logs on the Docker host [ppeters@dockerdmz1 ~]$ sudo tail -f /var/log/messages Nov 19 15:50:19 dockerdmz1 systemd: Starting Puppet agent... Nov 19 15:50:19 dockerdmz1 systemd: Started Puppet agent. Nov 19 15:50:19 dockerdmz1 systemd: Starting docker container 8e499df423dd706b4f3daecdaeb08f8698baa08c0c385bee91b86dd84eccec37.
6 Nov 19 15:50:19 dockerdmz1 systemd: Started docker container 8e499df423dd706b4f3daecdaeb08f8698baa08c0c385bee91b86dd84eccec37. Nov 19 15:50:20 dockerdmz1 avahi-daemon[681]: Registering new address record for fe80::c009:1dff:fe63:e8b8 on vethfe6054f.*. Nov 19 15:50:20 dockerdmz1 puppet-agent[26385]: Starting Puppet client version Nov 19 15:50:23 dockerdmz1 docker: time=" t15:50: :00" level=info msg="get /v1.20/containers/json" Nov 19 15:50:34 dockerdmz1 kernel: docker0: port 2(vethfe6054f) entered forwarding state Nov 19 15:50:41 dockerdmz1 puppet-agent[26394]: (/Stage[main]/Ent::Puppetic/Exec[puppetic bash]/returns) executed successfully Nov 19 15:50:41 dockerdmz1 puppet-agent[26394]: Finished catalog run in seconds //Here is what happens when you try use the docker logs command on a container that is using the syslog driver [ppeters@dockerdmz1 ~]$ docker logs grave_mestorf "logs" command is supported only for "json-file" logging driver (got: syslog) //Log on to logview.service.emory.edu [ppeters@logaccessprod1 ~]$ cd /var/uts/today/srvr/dockerdmz1.cc.emory.edu/ [ppeters@logaccessprod1 dockerdmz1.cc.emory.edu]$ tail -f daemon.log Nov 19 15:51:01 dockerdmz1.cc.emory.edu Hello World Nov 19 15:51:02 dockerdmz1.cc.emory.edu Hello World Nov 19 15:51:03 dockerdmz1.cc.emory.edu Hello World Nov 19 15:51:04 dockerdmz1.cc.emory.edu Hello World Nov 19 15:51:05 dockerdmz1.cc.emory.edu Hello World Nov 19 15:51:06 dockerdmz1.cc.emory.edu Hello World Nov 19 15:51:07 dockerdmz1.cc.emory.edu Hello World Nov 19 15:51:08 dockerdmz1.cc.emory.edu Hello World Nov 19 15:51:09 dockerdmz1.cc.emory.edu Hello World
7 //Still no container ID
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