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

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.

Instrument all applications with Stackdriver Profiler.

Instrument all applications with Stackdriver Trace and review inter-service HTTP requests.

Use Stackdriver Debugger to review the execution of logic within each application to instrument all applications.

Modify the Node.js application to log HTTP request and response times to dependent applications. Use Stackdriver Logging to find dependent applications that are performing poorly.

Roll back the experimental canary release.

Start monitoring latency, traffic, errors, and saturation.

Record data for the postmortem document of the incident.

Trace the origin of 500 errors and the root cause of increased latency.