Sprout Social's core services utilize third party API calls in order to ingest data and represent them in a single dashboard for users. How do you deal with API rate limits from these services?

Question

Accepted Answer

Managing API rate limits involves strategic planning and efficient data handling to ensure seamless user experience.

Implement exponential backoff strategies to handle retries when rate limits are hit.
Use caching mechanisms to store frequently accessed data and reduce API calls.
Prioritize API calls based on user demand and critical features, ensuring essential data is fetched first.
Monitor API usage metrics to identify patterns and adjust call frequency accordingly.
Consider batch processing of requests where possible to minimize the number of calls.

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Sprout Social's core services utilize third party API calls in order to ingest data and represent them in a single dashboard for users. How do you deal with API rate limits from these services?

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