Skip to content

A basic skeleton solution to get up and running with the Elastic stack.

License

Notifications You must be signed in to change notification settings

kevinvella/logging-using-elastic

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Logging using Elasticsearch

This repository demonstrates how one could collect and centralise logs from a cluster/microservice environment into Elasticsearch. If you are otherwise looking to get started with logging using Elasticsearch in general, we highly recommend visiting Elastic.co's Getting Started with Logstash before you check this repository out.

This repository was used as part of a talk at IgniteMT (facebook.com/ignitemt). The accompanying slides can be found here.

Demo explained

This repository demonstrates a typical scenario where multiple applications push their events to the same Elasticsearch index, which will be ultimately viewed through Kibana. In this demo, we have two applications–load_balancer and entropay-which are pushing their logs independently.

elasticsearch_kibana - takes care of booting up both Elasticsearch and Kibana. Elasticsearch's port 9200 is not exposed to the container, and is only intended to be discoverable to Kibana though the elastic_kibana_network docker network, and to the Logstash instances through the ignitemt docker network. This would keep Elasticsearch away from direct access.

entropay and load_balancer - both applications run very similar of each other, and consist of three pieces:

  • the applications holding the server logs. For the purpose of this demo, these apps are dummy containers storing their own seperate version of logs.
  • Filebeat - accessing the server logs via the log-files docker volume.
  • Logstash - Receiving events from Filebeat through the apache_filebeat_logstash_network docker network and relay then forward to Elasticsearch through the ignitemt docker network.

##Running the demo

Create the ignitemt docker network:

docker network create ignitemt

Run Elasticsearch and Kibana:

docker-compose -f elasticsearch_kibana/docker-compose.yml up -d

Run entropay to start pushing server logs. This will initiate Filebeat to start pusing log events to Logstash, which will ultimately be relayed to Elasticsearch initiated above:

docker-compose -f entropay/docker-compose.yml up -d

Run load_balancer to start pushing the load balancer logs. This will initiate Filebeat to start pusing log events to Logstash, which will ultimately be relayed to Elasticsearch initiated above:

docker-compose -f load_balancer/docker-compose.yml up -d

It take a couple of minutes for both applications to push and index all their logs to elasticsearch.

About

A basic skeleton solution to get up and running with the Elastic stack.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Shell 100.0%