The IsUpMap lets you check the status of over 100 major sites at once

Pretty cool visualization.

I've been building something like this for 12 years now.

One major difference is mine does not only rely on the "official" status page but also receive millions of reports from users about outages.

So your single pane of glass can show not just known outages but emerging ones that haven't been acknowledged yet by providers.

Also supports more than 8,000 services.

Something must be wrong, it's showing github as up!

beautiful visualization of "complex systems run in degraded mode"

https://how.complexsystems.fail/#5

I notice that the site 'boxes' are different sizes.

Does the size indicate anything?

Probably unfair to class Cloudflare as "degraded" they have over 300 PoPs theres always going to be some in maintenance mode and re-routed

Auth0 and Slack appear degraded here, but not on their status pages

https://finviz.com/map says Hi :)

Maybe try using <wbr> for example Cloud<wbr>flare or mongo<wbr>db for more natural break on small screens.

Would be interesting if sites could be grouped based on what services they rely on, or just grouped based on which have correlated downtime.

Wtf, no porn category ?

Ouch, Azure isn't even present

Suggestion: The area of each rectangle should be proportional to the UPTIME capitalization

Facebook, Twitter (X), Instagram is no longer a thing?

No love for mindgeek assets?

Playstation is in the list but not Xbox? Weird

No Apple services listed? Where's iCloud?

Interesting.. Ms Teams blocks the entire url..

Yeah, highly inaccurate data. Shows Auth0 with an uptime of 0.6% over 24h. Smells like a slop project.

But 55 of them is unknown (edit: fixed now)

Where does this draw data from? It's a similar visual concept to what we're doing at ThousandEyes within Internet Insights (see https://www.thousandeyes.com/outages/) however we make it fairly clear how we are making these determinations. Our data comes from billions of daily pseudonymous metrics from within synthetic tests running across thousands of agents around the world.

If you're drawing the data from a public resource like downdetector or using the sites status pages, then you may not be reflecting reality, but it should be clear what the provenance of the data is.

What a godsend this is! Thanks a lot! I hope the data is accurate! Keep improving it.

I'm assuming there's an optimisation in the source of this:

``` if(github) return false ```

over half are unknown