Case Study: Kudos achieves scalable time-series visibility and faster researcher insights with Elastic

Empowering researchers with time series data and the Elastic Stack

Kudos is a free platform that helps researchers explain and share their work in plain language and track engagement over time. As usage grew, their MySQL-based event and time-series storage hit scaling and visibility limits, requiring engineering time to extract workflow insights and generate reports.

They migrated to the Elastic Stack—Elasticsearch hosted on Elastic Cloud, Logstash ingesting Google Pub/Sub events on Kubernetes, and Kibana for visualization—using Timelion for workflow state calculations. The move delivered scalable, low‑ops infrastructure, self‑service dashboards for engineering and account teams, faster, flexible reporting, and simpler cluster management.

Kudos

James Bloomer

Chief Techology Officer