An independent status page for AWS

Hacker News

Hi HN, I’m one of the co-founders of a startup named Metrist and today we released a free, no login required, “real” status page for AWS service health. I know we aren’t the first to do this, but I think we take a unique approach and we are excited about what we can do with this, and our full product, going forward. As a company, Metrist exists to test and monitor the functionality, performance, and availability of the web’s most built upon cloud products. For this status page, we are running functional tests against 15 of the most popular AWS services, from 5 North American regions, as frequently as every 25 seconds. These aren’t ping tests, rather we look for the service to do what it exists to do, evaluating the results and updating the status page when we see something unusual. Yes, there are currently a number of limitations with this status page that we address with our full product. Right now, we only use a single AWS account of our own, and only in a single AZ per region, so the status may not reflect partial outages. We do plan to expand our visibility with data from more accounts, in more regions, and more AZs. We’d love your feedback in the comments! And since AWS is a pretty reliable service, if you want to see how our status page looks when things aren’t healthy, check out our blog post here: https://metrist.io/blog/introducing-a-real-aws-status-page/

Visit product View on Hacker NewsDec 1, 2022

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: single · Missing: mac, agents, macos

69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, exist, lua · Missing: https docs, just released, open source

66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

27%27% 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

23%23% 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

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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.

Correct prediction on native model

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