![]() 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. I would like to move dns logs from pihole into ELK with filebeats. What springs to my mind is that messages from some processes in some containers could be further processed. I am running pihole as a docker container (official dockerimage) on rasbian (on an rpi3). elasticsearch boilerplate kibana logstash docker-compose filebeats Updated on Dockerfile cloud-org / beats-output-http Star 1 Code Issues Pull requests v7.13. The above code blocks are also contained in a just run and it works™ example on github. Elasticsearch, Logstash, Kibana, Filebeats Install ready to use Elastic free software with a single command line on your local environment (w/ docker-compose). Besides, I let filebeat manage the filebeat-* indices via an Index Lifecycle Management (ILM) policy, which has been working well for me. No need to install Filebeat manually on your host or inside your images. ![]() Hosts: '$ as a means to override the elasticsearch location(s). This image uses the Docker API to collect the logs of all the running containers on the same machine and ship them to a Logstash. Filebeats origins begin from combining key features from Logstash-Forwarder
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