Handling Cloud Outages with Resiliency Patterns

The cloud doesn’t make your product reliable. It makes reliability your job.

Founders hear “we’re on AWS” or “we’re on Azure” and assume reliability comes with the bill. It doesn’t. Cloud providers guarantee their infrastructure, not your product. Your product is a chain of services, third-party APIs, and databases, and every link in that chain will fail at some point. That’s not pessimism. It’s how cloud systems work.

The difference between a blip your customers never notice and an outage that shows up in your churn numbers is whether your team designed for failure: retries when a call fails, timeouts so one slow service doesn’t freeze everything, fallbacks that keep the core experience working when something at the edge breaks.

I was technical lead on a platform handling 3M+ requests per day. Something failed every single day, a dependency hiccup or a slow downstream call. Customers almost never saw it, because the system was built to absorb the drama instead of forwarding it to them.

Here’s the question to ask your dev team this week: “If our payment provider goes down for five minutes, what does a customer see?” A specific answer is a good signal. A shrug means your reliability plan is hope.

Building that posture before the outage, not after, is exactly the kind of thing a fractional CTO does with your team.

What’s the worst-timed outage your product has ever had?

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