Professional-Cloud-DevOps-Engineer Exam Dumps : Google Cloud Certified - Professional Cloud DevOps Engineer Exam

Monitor latency of your services for average percentile latency.

Review your increased capacity requirements and plan for the required quota management.

Create alerts in Cloud Monitoring for all common failures that your application experiences.

Ensure that relevant system metrics are being captured with Cloud Monitoring and create alerts at levels of interest.

Configure Anthos Service Mesh on the application to identify issues on the topology map.

Use Cloud Build to trigger a Spinnaker pipeline.

Use Cloud Pub/Sub to trigger a Spinnaker pipeline.

Use a custom builder in Cloud Build to trigger a Jenkins pipeline.

Use Cloud Pub/Sub to trigger a custom deployment service running in Google Kubernetes Engine (GKE).

Use the default Stackdriver Kubernetes Engine Monitoring agent configuration.

Deploy a Fluentd daemonset to GKE. Then create a customized input and output configuration to tail the log file in the application's pods and write to Slackdriver Logging.

Install Kubernetes on Google Compute Engine (GCE> and redeploy your applications. Then customize the built-in Stackdriver Logging configuration to tail the log file in the application's pods and write to Stackdriver Logging.

Write a script to tail the log file within the pod and write entries to standard output. Run the script as a sidecar container with the application's pod. Configure a shared volume between the containers to allow the script to have read access to /var/log in the application container.