Case Study: Misfit Wearables achieves dramatic log-search speedups and time savings with Sumo Logic

Improving Misfit Wearable’s Devices with Sumo Logic

Misfit Wearables, a maker of smart fitness and wellness devices, needed faster, more reliable log capture and analysis to accelerate product development. Their previous open-source log tool was slow and limited, producing long query times (jobs that took 5–10 minutes) and constraining engineering and product teams.

They adopted Sumo Logic across engineering and product teams, using features like Data Forwarding to S3, Anomaly Detection, and especially the new Partitions feature to create collector-specific indexes. The result: massive performance gains—queries that once took minutes now run in seconds, and a 14-day search dropped from about 154 seconds to 12 seconds—saving time, resources, and speeding development cycles.

Misfit

Binh Nguyen

Misfit