HTTP

HTTP 429 Too Many Requests vs 500 Internal Server Error

HTTP 429 (Too Many Requests) is a 4xx Client Error response, while 500 (Internal Server Error) is a 5xx Server Error response. 429 indicates that the user has sent too many requests in a given time (rate limiting). The response should include a Retry-After header. In contrast, 500 means that the server encountered an unexpected condition that prevented it from fulfilling the request. A generic catch-all for server-side errors.

Description

The user has sent too many requests in a given time (rate limiting). The response should include a Retry-After header.

When You See It

When hitting API rate limits or making too many requests too quickly.

How to Fix

Check the Retry-After header. Implement exponential backoff. Consider caching responses.

Description

The server encountered an unexpected condition that prevented it from fulfilling the request. A generic catch-all for server-side errors.

When You See It

When an unhandled exception occurs, a database connection fails, or server code has a bug.

How to Fix

Check server logs for the stack trace. Common causes: unhandled exceptions, database errors, misconfigurations.

Key Differences

1.

429 is a 4xx Client Error response, while 500 is a 5xx Server Error response.

2.

HTTP 429: The user has sent too many requests in a given time (rate limiting). The response should include a Retry-After header.

3.

HTTP 500: The server encountered an unexpected condition that prevented it from fulfilling the request. A generic catch-all for server-side errors.

4.

You encounter 429 when when hitting API rate limits or making too many requests too quickly.

5.

You encounter 500 when when an unhandled exception occurs, a database connection fails, or server code has a bug.

When to Use Which

For 429 (Too Many Requests): Check the Retry-After header. Implement exponential backoff. Consider caching responses. For 500 (Internal Server Error): Check server logs for the stack trace. Common causes: unhandled exceptions, database errors, misconfigurations.

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