Hello Everyone! I built control.turbolytics.io for data observability.The goal is to provide a cost-effective way to monitor postgres and data pipelines at scale. Onboarding a new db takes minutes. Controls entire purpose is to answer the question: "Are customers being affected?"I have experience operating pretty large data clusters and pipelines (100's of thousands of instances). Control takes these learnings and exposes them in the product:- SLO based alerts by default model that errors exist in reality

• Verdicts provide health classifications, instead of requiring the operator to read through 10's or hundreds of metrics.
• Flat pricing based on instances.
• The control observability protocol is pushed based and no customer or sensitive data is stored in control.How is everyone monitoring their databases and pipelines today? If you're using a big vendor, what's working for you? What's not?Looking forward to everyone's feedback,Thank you!Danny Comments URL: https://news.ycombinator.com/item?id=50287082 Points: 1

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