Google Professional DevOps Engineer: Advanced Application Deployment Strategies
Google Cloud 2024
| Beginner
- 10 videos | 38m 54s
- Includes Assessment
- Earns a Badge
Architecting resilient and scalable global applications on Google Cloud Platform (GCP) can be achieved by leveraging multi-regional deployments, automated pipelines, and container orchestration to deliver exceptional user experiences worldwide. In this course, learn how to create and implement advanced application deployment strategies in Google Cloud Platform (GCP), including multi-regional deployments, global load balancing and traffic management strategies, and using automation tools like Spinnaker and Cloud Build. Next, explore feature flag integration with GCP services, microservices deployment with GKE, and real-world case studies on successful GCP application deployment strategies. Finally, examine how to enhance global application availability and adopt best practices for monitoring deployment strategy impact. This course is one of a collection that prepares learners for the Google Professional Cloud DevOps Engineer exam.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this courseOutline multi-regional deployment details and considerations in google cloud platform (gcp)List global load balancing and traffic management strategies and factors for choosing the appropriate strategyIdentify the steps for automating deployment pipelines using spinnaker and cloud build for complex deployment scenariosIntegrate feature flags with gcp services for dynamic feature toggling and a/b testing
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Review the application of container orchestration with google kubernetes engine (gke) in microservices deploymentName case studies on successful application deployment strategies in gcpSet up and manage multi-regional deployments to enhance global application availabilityOutline best practices for monitoring and evaluating the impact of deployment strategies on application performance and user experienceSummarize the key concepts covered in this course
IN THIS COURSE
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1m 3sIn this video, we will discover the key concepts covered in this course. FREE ACCESS
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3m 50sAfter completing this video, you will be able to outline multi-regional deployment details and considerations in Google Cloud Platform (GCP). FREE ACCESS
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4m 44sThrough this video, you will be able to list global load balancing and traffic management strategies and factors for choosing the appropriate strategy. FREE ACCESS
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2m 29sUpon completion of this video, you will be able to identify the steps for automating deployment pipelines using Spinnaker and Cloud Build for complex deployment scenarios. FREE ACCESS
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8m 46sDiscover how to integrate feature flags with GCP services for dynamic feature toggling and A/B testing. FREE ACCESS
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3m 37sIn this video, we will review the application of container orchestration with Google Kubernetes Engine (GKE) in microservices deployment. FREE ACCESS
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2m 56sAfter completing this video, you will be able to name case studies on successful application deployment strategies in GCP. FREE ACCESS
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7m 12sFind out how to set up and manage multi-regional deployments to enhance global application availability. FREE ACCESS
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3m 30sUpon completion of this video, you will be able to outline best practices for monitoring and evaluating the impact of deployment strategies on application performance and user experience. FREE ACCESS
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48sIn this video, we will summarize the key concepts covered in this course. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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