I recently implemented a monitoring solution for my data pipelines using AWS CloudWatch, and it has significantly improved our data integrity. It’s surprising how many issues can be caught early with the right alerts in place — how does everyone else approach monitoring their pipelines?
You’re so right — it’s surprising how many issues can be caught early with the right alerts in place. I’ve been using AWS CloudWatch myself, and it often feels like a game of whack-a-mole if I don’t set the right thresholds. Have you thought about integrating custom metrics — that can really help fine-tune monitoring and catch even more issues.
I totally agree about integrating custom metrics — that can really help fine-tune monitoring and catch even more issues. For us, focusing on latency metrics has been a game-changer. How do you handle alert thresholds to avoid too many false positives?
It’s interesting how much AWS CloudWatch can improve pipeline monitoring. I’ve found adding specific logging levels helps too. What custom metrics are you thinking about, @katherine72?