The ELK Stack on Apcera
The newest version of the ELK Stack components (or the "Elastic Stack" as Elastic is now calling it) went live several weeks ago. This update brings out the fives—Elasticsearch 5.0, Logstash 5.0, and Kibana 5.0.
Elasticsearch and the rest of the ELK stack make up one of the more popular Big Data open-source products around. Elasticsearch brings to the table a robust, schema-free JSON document store and search engine. Logstash is primarily a mechanism to decompose and map unstructured data and put it in Elasticsearch. And Kibana is the data visualization layer which has a brand-new interface.
By bringing the Elastic Stack to your Apcera Cluster, your developers can leverage the self-service nature of the Apcera Platform so you have peace-of-mind knowing that the policies that you have put in place will govern the deployments.
I recently wrote a very detailed step-by-step look at a deployment of the Elastic Stack on the Apcera Platform. By following the tutorial, you will build packages for the components, deploy applications using those packages, and show you how to configure logstash to get your applications' output in Elasticsearch, enabling you to analyze your logs.
You can view the full tutorial on GitHub by clicking here: https://github.com/apcera/sample-apps/tree/master/example-elk-stack