Learn how to effectively troubleshoot and resolve performance issues and error messages in a public web application deployed on Cloud Run when subjected to high traffic loads. Discover the key settings to check and adjust to ensure your application remains resilient and responsive under heavy traffic.
Table of Contents
Question
You are developing a public web application on Cloud Run. You expose the Cloud Run service directly with its public IP address. You are now running a load test to ensure that your application is resilient against high traffic loads. You notice that your application performs as expected when you initiate light traffic. However, when you generate high loads, your web server runs slowly and returns error messages. How should you troubleshoot this issue?
A. Check the network traffic to Cloud Run in Cloud Monitoring to validate whether a traffic spike occurred. If necessary, enable traffic splitting on the Cloud Run instance to route some of the traffic to a previous instance revision.
B. Check the min-instances value for your Cloud Run service. If necessary, increase the min-instances value to match the maximum number of virtual users in your load test.
C. Check whether Cloud Armor is detecting distributed denial of service (DDoS) attacks and is blocking traffic before the traffic is routed to your Cloud Run service. If necessary, disable any Cloud Armor policies in your project.
D. Check whether the Cloud Run service has scaled to a number of instances that equals the max-instances value. If necessary, increase the max-instances value.
Answer
D. Check whether the Cloud Run service has scaled to a number of instances that equals the max-instances value. If necessary, increase the max-instances value.
Explanation
When troubleshooting a public web application on Cloud Run that performs well under light traffic but experiences slowdowns and error messages under high traffic loads, the best approach is to check whether the Cloud Run service has scaled to a number of instances that equals the max-instances value. If necessary, increase the max-instances value.
Cloud Run automatically scales the number of instances based on the incoming traffic to handle increased loads. However, if the max-instances value is set too low, the service may not be able to scale sufficiently to accommodate the high traffic, resulting in slow performance and error messages.
To resolve this issue, follow these steps:
- Check the current number of instances: Monitor the number of instances that your Cloud Run service has scaled to during the high traffic load. You can use the Google Cloud Console or the `gcloud run services describe` command to view the current number of instances.
- Compare with max-instances: Verify if the number of instances has reached the max-instances value set for your Cloud Run service. If the number of instances equals the max-instances value, it indicates that the service has reached its scaling limit.
- Increase max-instances: If the number of instances has reached the max-instances value, and you’re still experiencing performance issues, consider increasing the max-instances value. This will allow Cloud Run to scale to more instances to handle the increased traffic load. You can update the max-instances value using the Google Cloud Console or the `gcloud run services update` command.
By increasing the max-instances value, you allow Cloud Run to scale to more instances, which can help distribute the traffic load and improve the performance of your web application under high traffic conditions.
Other options mentioned in the question, such as checking network traffic in Cloud Monitoring, adjusting min-instances, or disabling Cloud Armor policies, may not directly address the issue of slow performance and error messages under high traffic loads. The primary focus should be on ensuring that Cloud Run can scale sufficiently to handle the increased traffic by adjusting the max-instances value appropriately.
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