I have created myself a special directory outside of container and named it Logstash, inside I have saved the nf and changed the output. We will just copy nf content and save it in the file with the same name nf but outside of Docker container. We won’t be doing that change inside of the Docker container. What we will be changing in the Logstash config file is the output part. ELK Docker containers and Logstash configĪs you were able to see, Logstash config file on the Picture 1 above has 2 parts, input and output. I have opened the directory where Logstash config resides and shown you the outlook of the config file as well in the already mentioned picture so you won’t be confused. To log into the Logstash Docker container or any other Docker container you would type: sudo docker exec -u 0 -it container_name /bin/bashĪfter logging into Logstash Docker container you should see results like on the Picture 1 below. This is just so you can see how the Logstash config file looks like and where is it placed inside of Docker container. I would suggest that you run basic ELK stack on Docker first and login to Logstash Docker container. How to make those Logstash configuration changes? In this case we have to tell Logstash where to put log events that came from Filebeat. We have to do minor configuration file changes in order to make it work as we have imagined. You see, not all services work out of the box as we want them to after the installation. Why do we have to do a custom Docker image for Logstash? Isn’t the one that we have pulled down from Elastic enough? Those questions might pop up in reader’s mind. How to do basic log event filtering in Kibanaīuilding custom Docker image for Logstash.How to make Filebeat to cooperate with the ELK stack,.How to install and configure Filebeat service,.How to build a custom Docker image for Logstash,.Now with elasticsearch, kibana and filebeat instances ingesting the logs for docker containers on the same host as the filebeat container, I can not only easily access unprocessed (raw) container log output using Kibana ( via (after you create an Index Pattern for filebeat-* for it), but also look at the container logs via the default docker logging to file mechanism (eg. Filebeat can help with this in all kinds of ways, which is documented with the autodiscover module. What springs to my mind is that messages from some processes in some containers could be further processed. The above code blocks are also contained in a just run and it works™ example on github. Besides, I let filebeat manage the filebeat-* indices via an Index Lifecycle Management (ILM) policy, which has been working well for me. Hosts: '$ as a means to override the elasticsearch location(s). RUN chmod go-w /usr/share/filebeat/filebeat.ymlĪnd this is my that is copied into the container: nfig: RUN chown root:filebeat /usr/share/filebeat/filebeat.yml It uses the official filebeat docker image provided by : FROM /beats/filebeat:7.9.1ĬOPY /usr/share/filebeat/filebeat.yml I also set the hostname directive for the filebeat service so logs end up in elastic search with a reference to the actual docker hostname they where run on.Īnd this is the Dockerfile for building the above customized filebeat container. With regards to co.elastic.logs/enabled: "false" in the docker-compose.yml file for the filebeat container above, this is to exempt this container from including its own container logfiles from being ingested. ELASTICSEARCH_HOSTS=elasticsearch1:9200,elasticsearch2:9200 This is the docker-compose file with filebeat added to it: services: Probably not the best choice for a secure production environment, but very easy and effective. Now for running filebeat, I run it from a container itself and provide it with access to the docker socket. If not, I’ve got an easy-to-run docker-compose.yml example that helps you run a 3-node elasticsearch cluster with Kibana to easily experiment with those two locally, for a start. So, how to set filebeat up for ingesting logs from docker containers? I presume you already have elasticsearch and kibana running somewhere. To circumvent this shortcoming in practice I would end up disabling filebeat for that container and then restart it. This forced me to change the docker logging type to fluentd, after which I could no longer access the logs using the docker logs command. I’ve been looking for a good solution for viewing my docker container logs via Kibana and Elasticsearch while at the same time maintaining the possibility of accessing the logs from the docker community edition engine itself that sadly lacks an option to use multiple logging outputs for a specific container.īefore I got to using filebeat as a nice solution to this problem, I was using fluentd from inside a docker container on the same host.
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