Calculate optimal timeout values for your API requests considering retries and delays
The total timeout for an API request with retries is calculated using the following formula:
This formula helps determine the maximum time allowed for an API request to complete including potential retry attempts.
Choosing appropriate timeout values is crucial for API reliability and performance:
Separate connection timeout from read timeout. Connection timeout should be shorter than read timeout.
Use exponential backoff for retries to prevent cascading failures and reduce server load.
Track real API response times to adjust timeout values appropriately.
Your timeout configuration is within recommended limits.
If the base timeout is 3000ms, with 3 retries and a retry delay of 1000ms, what is the total timeout?
Total Timeout = 3000 + (3 × 1000) = 3000 + 3000 = 6000ms
What happens if the total timeout is set too low?
API requests may fail prematurely even if the server would eventually respond, leading to unnecessary errors and retries.
With a base timeout of 5000ms and 2 retries, what retry delay would result in a total timeout of 9000ms?
9000 = 5000 + (2 × retry_delay)
4000 = 2 × retry_delay
retry_delay = 2000ms
Q: How do I determine the appropriate base timeout for my API requests?
A: Determining the appropriate base timeout involves several factors:
Factors to Consider:
A good starting point is to set the base timeout to 2-3 times the 95th percentile of observed response times. Monitor performance metrics to fine-tune this value.
Q: What are the risks of setting very high timeout values?
A: While high timeout values prevent premature failures, they carry several risks:
Risks:
Instead of high timeouts, consider implementing circuit breakers and bulkhead isolation patterns to handle long-running operations gracefully.