How Workday Search Built their Metrics Pipeline with the Elastic Stack

Bodecker DellaMaria

Software Engineer

Workday

Thomas Kim

Principal Engineer

Workday

After struggling to find a traditional database that could ingest large volumes of application metrics at an acceptable rate, Workday Search noticed that each of their already existing Elastic Stack deployments were able to process over 1 billion log events a week without issues. This talk will share how Workday Search expanded their deployment by implementing a robust, easy-to-use metrics processing pipeline.

Bo and Thomas will provide details on how they architected their pipeline, the scripts and frontend tools they use to visualize their data and proactively alert them to issues in production, as well as the metrics they look at to provide insight into usage patterns and facilitate intelligent product decisions.