Compare logs before and after deployment to catch regressions

Show HN: Compare logs before and after deployment to catch regressions

Based, Compare logs before and after deployment to catch regressions works in show hn launch.

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I built this tool that connects to your Kubernetes and Datadog via read access. Collects logs before(60 minutes) and after(15 minutes). And compares them to catch regressions early on. This eliminates the need to jump across 5-6 dashboards to know if the deployment is working as expected, just by looking at the telemetry data. It's a thin intelligence layer for deployments. Usually, you get this by looking at your log data lake, making a query and running a comparison manually. This automatically looks for new log clusters, missing log clusters formed and error spikes. Looking at this alone can give you a bird 's-eye view of how the deployment went.

The company sits in the show hn launch segment, where it competes on its core product or service.

Its current recorded stage is Show HN launch.

Website: deploydiff.rocketgraph.app