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Memory & CPU Limits in CodePair

Understanding resource limits for CodePair templates and how to manage performance

Memory & CPU Limits in CodePair

Understanding resource limits for CodePair templates and how to manage performance

CodePair templates have configurable resource limits to ensure optimal performance during live coding sessions. These limits help maintain system stability while providing candidates with a responsive coding environment.

Available Resource Limits

CodePair V2 engine supports the following resource configurations:

Memory Limit

  • Default: 1g (1 gigabyte)
  • Purpose: Controls the maximum RAM available to the CodePair session
  • Use case: Sufficient for most coding challenges and standard development tasks

CPU Limit

  • Default: 2.0 (2 CPU cores)
  • Purpose: Controls the maximum CPU processing power available
  • Use case: Handles compilation, testing, and running applications smoothly

When You Might Need Higher Limits

Consider requesting increased resource limits if your CodePair templates involve:

  • Large-scale applications with significant memory requirements
  • CPU-intensive tasks like machine learning or data processing
  • Complex build processes that require additional processing power
  • Multiple concurrent services running in the same environment

Requesting Higher Limits

Need increased memory or CPU allocation for your templates? Our support team can help configure custom resource limits for your organization.

To request higher limits:

  1. Contact our support team at hello@codesubmit.io
  2. Describe your specific use case and requirements
  3. Provide details about the type of challenges you're running
  4. Our team will work with you to configure appropriate limits

Important Notes

  • Resource limits are only available on CodePair V2 engine templates
  • Default limits are suitable for most standard coding interviews
  • Higher limits may be subject to additional pricing
  • Resource limits apply per individual CodePair session

Tip: Most coding challenges work perfectly with default resource limits. Only request increases if you're experiencing specific performance issues or have specialized requirements.

Related Topics

#codepair#performance#limits#resources

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