How to Detect Third-Party Outages Before Your Users Do
Your users are not your monitoring system. Here's how to get detection coverage that surfaces third-party incidents in time to act — before the support tickets arrive.
·7 min read
Reliability
8 articles tagged "Reliability"
How to Write a Postmortem When a Third-Party Service Causes an Outage
Third-party outages are tricky to postmortem because you didn't control the failure. Here's how to write a useful postmortem that builds resilience — even when the root cause was someone else's infrastructure.
·10 min read
How to Monitor Third-Party Service Uptime
Your app's reliability depends on services you don't control. Here's what effective third-party uptime monitoring actually requires — so you know about incidents before your users do.
·8 min read
What to Do When a Vendor Has No Status Page
Not every vendor publishes a public status page. Here's how to get visibility into the operational health of dependencies that tell you nothing — and why building that visibility yourself rarely scales.
·10 min read
How to Build Reliable Fallbacks for Third-Party API Failures
When a vendor your app depends on goes down, what happens? If the answer is 'everything breaks,' this guide covers the patterns for building fallbacks that keep your app functional during third-party outages.
·6 min read
How to Reduce Mean Time to Detect Third-Party Service Failures
The longer it takes to discover that Stripe or AWS is down, the more customers hit broken experiences. Here's how production engineering teams minimize the gap between when a vendor incident starts and when your team knows about it.
·11 min read
What Vendor SLAs Don't Tell You About Actual Reliability
A 99.9% SLA sounds solid. It allows 8.7 hours of downtime per year, and that downtime could happen all at once on your worst day. Here's how to track actual reliability rather than contractual promises.
·10 min read
Why Your App Goes Down Even When Your Own Infrastructure Is Fine
Your servers are healthy. Your database is responding. Your own metrics look clean. But your users are getting errors. The culprit is almost always a silent failure upstream. Here's what to look for.
·10 min read