A

A tiny CLI to find broken CloudWatch alarms

Hacker News

A tiny CLI to find broken CloudWatch alarms

In my day job I kept noticing CloudWatch alarms that were technically there, but in practice didn’t help much anymore - no actions, disabled actions, or alarms sitting in ALARM / INSUFFICIENT_DATA for weeks that everyone just got used to. Once you have a lot of services and a lot of people touching things over time, it gets surprisingly hard to tell which alarms still make sense. I ended up hacking together a small, read-only CLI that just lists alarms across regions and highlights those kinds of cases. This isn’t meant to fix anything automatically — mostly a way to see what you actually have. Curious if this matches what others see in real setups, or if you approach this problem differently. Repo: https://github.com/wrybakiewicz/cw-alarm-audit

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
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Product HuntOn track for Day 1 leaderboard · Strong signals: tiny · Missing: mac, agents, macos
66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal
51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
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BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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