Intrigued by the art of cloud architecture? Discover how to design, develop, and manage robust, secure, scalable, and dynamic solutions on Google Cloud as you prepare for the Professional Cloud Architect exam!
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Prepare and test your skills
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Your company uses Google Cloud Deploy to orchestrate continuous delivery pipelines for microservices deployed onto Google Kubernetes Engine (GKE) clusters across staging and production targets.
During recent release cycles, rollouts were marked as successful immediately after the deployment manifests were applied, before application pods fully initialized and passed readiness probes. Consequently, releases with configuration defects were marked successful, allowing flawed versions to be promoted without verifying workload stability.
You need to ensure that Google Cloud Deploy performs automated health checks and waits for workloads to reach a stable, running state before marking a rollout as successful.
What should you do?
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