Case Study: Kraken Technologies achieves faster error triage and confident continuous deployment with Sentry

How Kraken Technologies uses Sentry Error Monitoring for their Python Monolith

Kraken Technologies, the operator of a large Python monolith for utilities, needed a scalable way to monitor a massive, fast-changing codebase with 500+ developers and up to 200 releases a day. As their AWS-based system grew, they needed better visibility into actionable errors and faster routing of issues to the right engineers, using Sentry Error Monitoring.

Sentry helped Kraken Technologies detect, triage, and resolve issues quickly by providing rich error context, stack traces, tracing, release notifications, and automated alerts tied to GitHub CODEOWNERS and Slack. The result was faster debugging, less notification noise, better onboarding for new developers, and a smoother alert-to-resolution process that supports rapid deployments and ongoing tech-debt reduction.

Kraken Technologies