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All solutions
    • All solutions for Cloud Functions
    • Resolving the `CORS` error when accessing the SpeechKit, Vision OCR, or Translate API from a web application frontend
    • Resolving HTTP 499 errors when working with a cloud function or Serverless Containers container
    • Troubleshooting the connection to YDB from Cloud Functions function code
    • Resolving the `No node can serve the request (Too many reschedules)` error
    • Resolving the `No node can serve the request (concurrent requests exceeded)` error
    • How to get the number of function calls for a certain period
    • How to access a function from MDB
    • How to set up a static IP address
    • How to call cloud functions asynchronously
    • How to set up `boto3` authentication

In this article:

  • Issue description
  • Solution
  • If the issue persists
  1. Cloud Functions
  2. Resolving HTTP 499 errors when working with a cloud function or Serverless Containers container

Fixing HTTP 499 errors when working with a cloud function or Serverless Containers container

Written by
Yandex Cloud
Updated at December 17, 2025
  • Issue description
  • Solution
  • If the issue persists

Issue descriptionIssue description

The log of your cloud function or Serverless Containers container shows such messages as Error: Code 499 Message: request cancelled.

SolutionSolution

This error appears because of the timeout on the side of the client that calls the function. When an application sends a request to run a function, it waits for response for a certain time frame. This time limit is often 60 seconds by default. If the function fails to complete processing and retrieve the result within this time, the client aborts the connection.

In this case, you may want to try:

  • Increasing the timeout on the side of the client that calls the function, if you can do so.
  • Breaking down a job that takes a long time to complete into multiple functions triggered by timer. This may come in handy when you cannot change the client timeout.

If the above solutions did not help, adding logging to the function code and analyzing the logs. We have some examples of setting up logging for Python cloud functions that are available here:

  • Logging running functions on Python
  • Writing to the function execution log

If the issue persistsIf the issue persists

If the above actions did not help, create a support ticket. Provide the following information in your ticket:

  1. ID of your cloud function or container in Serverless Containers.
  2. Contents of the log of your cloud function or container. You can find the function logs in the Logs section on the function's page in the management console.

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Resolving the `CORS` error when accessing the SpeechKit, Vision OCR, or Translate API from a web application frontend
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Troubleshooting the connection to YDB from Cloud Functions function code
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