You have deployed an application to Google Kubernetes Engine (GKE), and are using the Cloud SQL proxy container to make the Cloud SQL database available to the services running on Kubernetes.
You are notified that the application is reporting database connection issues.
Your company policies require a post- mortem.
What should you do?
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A. B. C. D.C.
If you have deployed an application to Google Kubernetes Engine (GKE) and are using the Cloud SQL proxy container to make the Cloud SQL database available to the services running on Kubernetes, and you are notified of database connection issues, you should follow these steps for post-mortem analysis:
Check the error logs of the application: Check the error logs of the application to understand the nature of the issue. This will help you determine if the problem is related to the application or the database.
Check the logs of Kubernetes and Cloud SQL: In the GCP Console, navigate to Stackdriver Logging and consult the logs for both GKE and Cloud SQL. The logs will provide information on any errors or issues that might be occurring in the system.
Check the Cloud SQL proxy container: Validate that the Service Account used by the Cloud SQL proxy container still has the Cloud Build Editor role. This step is necessary because if the Service Account loses the necessary roles or permissions, it may lead to authentication or authorization issues.
Restarting the Cloud SQL Instance: If you suspect that the issue might be related to the Cloud SQL instance, use gcloud sql instances restart to restart the instance. This will restart the Cloud SQL instance, which may resolve any connection issues.
Restoring the latest backup: If the issue is severe and none of the above steps helped to resolve the issue, you can restore the latest backup of the database. After restoring the database, use kubectl to restart all pods. This will help to ensure that all the pods are connecting to the correct database.
In conclusion, for post-mortem analysis, you should first check the error logs of the application, then check the logs of Kubernetes and Cloud SQL, validate the Service Account used by the Cloud SQL proxy container, restart the Cloud SQL instance if necessary, and finally, restore the latest backup of the database if none of the above steps helped to resolve the issue.