Compare logs before and after deployment to catch regressions

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.