Setting up the Elasticsearch, Logstash, and Kibana (ELK) Stack

The ELK stack enables search and data visualization of performance and logging metrics. Setting up the (ELK) stack will be presented by John Fredrickson. John has over 10 years experience working with .NET systems and is currently the software engineering team lead for ARI. The presentation will touch on the lessons learned using the ELK stack in a high throughput environment.

Elasticsearch is a distributed, open source search and analytics engine, designed for horizontal scalability, reliability, and easy management. It combines the speed of search with the power of analytics via a sophisticated, developer-friendly query language covering structured, unstructured, and time-series data.

Logstash is a flexible, open source data collection, enrichment, and transportation pipeline. With connectors to common infrastructure for easy integration, Logstash is designed to efficiently process a growing list of log, event, and unstructured data sources for distribution into a variety of outputs, including Elasticsearch.

Kibana is an open source data visualization platform that allows you to interact with your data through stunning, powerful graphics. From histograms to geomaps, Kibana brings your data to life with visuals that can be combined into custom dashboards that help you share insights from your data far and wide.