Google Professional-Cloud-DevOps-Engineer Exam With Confidence Using Practice Dumps

Before merging new code, require 2 different peers to review the code changes.

Adopt the blue/green deployment strategy when releasing new code via a CD server.

Integrate a code linting tool to validate coding standards before any code is accepted into the repository.

Require developers to run automated integration tests on their local development environments before release.

Configure a CI server.Add a suite of unit tests to your code and have your CI server run them on commit and verify any changes.

Deploy Falco or Twistlock on GKE to monitor for vulnerabilities on your running Pods

Configure Identity and Access Management (1AM) policies to create a least privilege model on your GKE clusters

Use Binary Authorization to attest images during your CI CD pipeline

Enable Container Analysis in Artifact Registry, and check for common vulnerabilities and exposures (CVEs) in your container images

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.