Cache / caching
Storing API responses temporarily so the same request doesn't need to be made repeatedly. Example: caching a currency exchange rate for 60 minutes instead of fetching it on every workflow run. Reduces API calls and speeds up execution.
Expert insight
Caching API responses to reduce call volume introduces a staleness trade-off that's easy to get wrong, a cache with a 24-hour TTL on pricing data will serve yesterday's price if the source system updates mid-day. The cache duration should match how often the underlying data actually changes, not an arbitrary round number.
How PURIST uses this
This concept is built into every automation we deploy.
When PURIST builds your automation, Cache / caching is not an optional consideration it is part of the production standard. Our workflows are tested against edge cases, monitored 24/7, and built to handle what happens when things don't go as expected.
Every client workflow we deploy in the Architecture category is designed with this principle in mind from day one not added as an afterthought.
Complexity level
Requires some familiarity with automation concepts.
Related terms
See it in action
Want Cache / caching built into your automation?
Book a free audit and we'll show you exactly how this applies to your business.
Get my free automation plan →More in Architecture
Keep exploring