The API Integrations That Break Six Months Later
Most integration failures aren't caused by bad code on day one — they're caused by nobody planning for what happens when the API changes.
An integration that works perfectly on launch day can fail silently months later, usually because of a change on the other end — a deprecated field, a new rate limit, a token that expired.
The integrations that hold up long-term are the ones built with monitoring and alerting from day one, so a failure gets caught the same day rather than discovered a month later when a report looks wrong.
Retry logic matters more than most teams expect. A single failed request shouldn't silently drop data — it should retry, then alert, in that order.
Finally, documentation is what turns an integration from a liability into an asset. If only one person understands how it works, it isn't finished yet.
— Sutra Analytics Team