About
I built ConvOps because I kept getting paged at 2am by alarms that told me nothing useful.
I've spent years building and operating AWS infrastructure — writing Python and Go services that emit CloudWatch metrics, configuring alarm thresholds, tuning Lambda concurrency, debugging ECS tasks that restart silently, and chasing RDS read-replica lag at odd hours. I know what it feels like to open CloudWatch at 3am with three tabs of metrics, two tabs of log groups, and a Slack thread asking what's broken. I've done the post-mortems. I know exactly which data you need in the first five minutes — and I know how much time gets lost hunting for it.
It was 2am. An alarm had been firing for 20 minutes. I was staring at CloudWatch metrics in three browser tabs, scrolling log groups in a fourth, and drafting a half-formed Slack message in a fifth. The alarm said “Error rate high.” It didn't say which Lambda. It didn't say which error. It didn't say whether it was a cold start, a downstream timeout, or a bad deploy. I had to reconstruct the story from fragments.
I remember thinking: this is ridiculous. I know exactly what information I need at this moment. The code should know it too. So I built a bot that reads the alarm, pulls the relevant logs, correlates the metrics, and sends me the diagnosis on WhatsApp before I've finished waking up. That bot became ConvOps.
It's not a dashboard. It's not an alerting platform. It diagnoses. It tells you what broke, why, and what to look at first — in a WhatsApp message you can read in 30 seconds.
ConvOps is built by one engineer in Pune, India. Every diagnosis is a real interaction with my code; every bug is mine to fix. If something breaks, message me directly.
There is no support team. There is no ticket queue. If ConvOps gives you a wrong diagnosis, I want to know — because it means my code got it wrong, and I need to fix it. Early users get direct access to the person writing the code.
Questions, feedback, or a war story about a 2am incident — all welcome.
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