Problem

• Rate-limiting errors (HTTP 429) are occurring across various endpoints, but the incidents are scattered and not easily predictable.
• Customers have no way to proactively monitor or receive alerts about their rate limit consumption within Jira Cloud.
• The lack of visibility makes it difficult for customers to identify, troubleshoot, and prevent rate-limiting issues before they impact business operations.

Suggested Solution

Develop a built-in rate limit monitoring dashboard or notification system within Jira Cloud that provides:

• Real-time visibility into rate limit usage and consumption patterns for users and applications.
• Proactive alerts when approaching or exceeding rate limits.
• Actionable insights and recommendations to help customers optimize API usage and avoid disruptions.

Why This Is Important

• Proactive monitoring would empower customers to self-manage their API integrations and prevent service interruptions.
• It would reduce the need for reactive support requests and manual log analysis.
• Improved transparency and actionable insights would enhance the overall customer experience and trust in the Jira Cloud platform.

Workaround

• Customers can currently monitor rate limits by:
  • Observing HTTP 429 errors in their application logs.
  • Using the retry-after header in API responses to adjust request frequency.
  • Implementing custom monitoring solutions to track API request volumes and error rates.
• Refer to Atlassian Developer documentation on Rate limiting for more details.