Causely Feature Demo: Pinpointing the Code Change Causing Performance Issues
In this short video, we show how Causely pinpoints the exact code change that triggered cascading performance issues — without requiring you to sift through logs or build custom dashboards.
When dozens of teams are deploying code across services and environments, even a small change can quietly spiral into system-wide latency, retries, and customer pain.
And when things go sideways, your team is left scrambling:
Was it the payments API?
A config change in the cluster?
A new version of Postgres?
In most tools, you’re chasing alerts across dashboards trying to guess your way to the root cause. That’s why we built Causely — to surface the answer before the war room even begins.
In this short video, we show how Causely pinpoints the exact code change that triggered cascading performance issues — without requiring you to sift through logs or build custom dashboards. Our Causal Reasoning Engine continuously maps relationships between telemetry, deploys, and system behavior to deliver real-time root cause insight. So when your team asks “what changed?”, Causely already knows — and shows you what to fix, what was impacted, and who needs to take action.
