?? The Hidden Challenge in API Rate Limits!
Shivakumar A.
Middle Ware ★ Workato ★ IIB ★ Tableau ★ Java ★ AWS ★ Banking Domain ★ Insurance Domain ★ HealthCare Domain ★ Integration and Automation Enthusiast ★ Integration Career Coach ★ Digital Creator
API rate limits are a safeguard to prevent excessive requests from overwhelming a system. But what happens when a workflow unexpectedly exceeds these limits?
?? The Scenario:
A company integrates System A with System B, where:
? System A triggers an API request to System B upon new customer sign-ups.
? System B processes the request and updates records.
? If the request fails due to an API rate limit, System A retries automatically.
The Unexpected Issue?
?? During peak hours, multiple sign-ups cause too many retries, exceeding API limits even further, delaying responses, and leading to incomplete customer records!
?? The Discussion – What’s Your Take?
1?? Should we batch requests instead of sending them individually?
2?? Can we use exponential back-off to space out retries?
3?? Should we implement circuit breakers to prevent further failures?
How would you solve this? Drop your thoughts in the comments! ??
?? Stay tuned! Tomorrow, we reveal the best practices for handling API rate limits effectively.
#INSIGHT #Integration #APIRateLimits #Automation #Workato