Description
Applications analyzing commit data often make numerous requests to the GitHub API. Currently, if the application lacks a robust exponential backoff strategy and rate-limit tracking, it will quickly exhaust the GitHub API quota. Unhandled \403 Forbidden\ responses due to rate limits will crash workers and permanently halt data syncing.
Impact
- Application completely ceases to function once the API quota is hit.
- The hosting IP address could be temporarily or permanently blocked by GitHub for abuse.
- Incomplete or corrupted data synchronization loops.
Proposed Solution
- Implement a centralized API wrapper that inspects the \X-RateLimit-Remaining\ header on every response.
- Engineer an exponential backoff and retry mechanism for all outbound HTTP requests that receive \429\ or \403\ rate-limit statuses.
- Queue incoming sync tasks to stagger API usage across the available hourly quota.
I would like to take up this critical backend resilience task.
/assign
Labels: gssoc, quality:exceptional, level:critical
Description
Applications analyzing commit data often make numerous requests to the GitHub API. Currently, if the application lacks a robust exponential backoff strategy and rate-limit tracking, it will quickly exhaust the GitHub API quota. Unhandled \403 Forbidden\ responses due to rate limits will crash workers and permanently halt data syncing.
Impact
Proposed Solution
I would like to take up this critical backend resilience task.
/assign
Labels: gssoc, quality:exceptional, level:critical