Alerts

In an eCommerce project, frequent alerts can disrupt performance, reliability, and user experience. Here’s a structured approach to solving common DevOps issues efficiently.

1. Successful Rate is Abnormal

Cause:

• High error rates or failures in payment gateway, API requests, or authentication mechanisms.

Solution:

• Check logs and metrics in APM tools like New Relic or Datadog.

• Identify failing endpoints in API Gateway or load balancer.

• Investigate database performance (slow queries, locking issues).

• Rollback recent changes or apply fixes.

2. Health check Service Unavailable

Cause:

• Underlying service down or network connectivity issues.

Solution:

• Verify pod/container logs (kubectl logs <pod>).

• Restart failing services and confirm DNS resolution.

• Check healthcheck endpoint manually (curl <service-url>/health).

• Update healthcheck configurations if required.

3. Argo CD Application is Not Healthy or Out of Sync

Cause:

• Configuration drift or failed synchronization.

Solution:

• Run argocd app sync <app-name> to force sync.

• Inspect ArgoCD logs for errors (kubectl logs -n argocd <argocd-server-pod>).

• Validate Kubernetes manifests (kubectl describe <resource>).

4. Argo CD Application is Healthy but Out of Sync

Cause:

• Changes in Git are not applied to the cluster.

Solution:

• Manually sync using argocd app sync.

• Validate if auto-sync is enabled.

• Investigate permissions issues.

5. POD Restart

Cause:

• Memory leaks, OOM kills, or rolling updates.

Solution:

• Check pod logs (kubectl logs -f <pod>).

• Describe pod for restart reasons (kubectl describe pod <pod>).

• Investigate resource limits in pod spec.

6. POD is in CrashLoopBackOff State

Cause:

• Misconfiguration, dependency failures, or insufficient resources.

Solution:

• Retrieve logs and events (kubectl get events & kubectl describe pod).

• Adjust resource limits (requests.cpu, requests.memory).

• Debug entrypoint script or missing dependencies.

7. High CPU Usage

Cause:

• Unoptimized queries, high traffic, or inefficient loops.

Solution:

• Use kubectl top pods to check CPU usage.

• Scale pods (kubectl scale deployment <deployment-name> --replicas=<num>).

• Optimize application logic or queries.

8. Token is Expiring Soon

Cause:

• Short-lived tokens require refresh.

Solution:

• Rotate secrets and tokens automatically.

• Increase token TTL if applicable.

• Ensure applications handle token renewal correctly.

9. GCP Service Quota High

Cause:

• Unoptimized resource consumption.

Solution:

• Use GCP Quotas Dashboard to check limits.

• Request quota increase if necessary.

• Optimize workload scheduling.

10. HTTP Request Rate Above Normal Range

Cause:

• Sudden traffic spikes or DDoS attacks.

Solution:

• Use rate limiting and load balancing.

• Scale infrastructure dynamically.

• Analyze traffic patterns for anomalies.

11. Persistent Volume Claim Exceeded 75% Usage

Cause:

• Excessive logging or data growth.

Solution:

• Expand volume or clean old data.

• Use log rotation and retention policies.

• Implement auto-scaling for storage.

12. Service Timeout

Cause:

• Network delays or overloaded backend.

Solution:

• Check service dependencies (kubectl get pods, services).

• Increase timeout settings if necessary.

• Optimize service response times.

13. High Memory Usage

Cause:

• Memory leaks or excessive caching.

Solution:

• Use kubectl top pods to identify memory hogs.

• Implement memory profiling in the application.

• Scale resources or adjust memory limits.

14. Latency is Abnormal

Cause:

• Network congestion, database slowdowns.

Solution:

• Use APM tools to analyze bottlenecks.

• Optimize queries and backend responses.

• Increase resources if needed.

15. Certificate Expiry

Cause:

• Expired TLS certificates causing connection failures.

Solution:

• Automate certificate renewal (Let's Encrypt, ACM, Cert Manager).

• Monitor expiration dates and alert before expiry.

• Manually renew if necessary (kubectl get secrets).

Conclusion

A proactive approach to monitoring and resolving alerts ensures smooth operation of an eCommerce platform. Implement automation, logging, and scaling strategies to reduce recurring issues and enhance system reliability.