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.
In a real workflow
Exchange rates are cached for an hour instead of being fetched for every order.
Common mistakes
- Caching data that must be current, such as stock levels at checkout.
- No way to clear the cache when data changes.
Complexity level
Requires some familiarity with automation concepts.
Related terms
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