Google Professional DevOps Engineer: Application Deployment Strategies

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. Application deployment strategies are vital for Google Professional DevOps Engineers to ensure seamless, efficient, and reliable software releases. Google Cloud Platform (GCP) users who are proficient in deploying and managing applications can leverage its diverse range of deployment models and strategies to achieve optimal scalability, reliability, and availability for their applications, enabling effective resource management, minimizing downtime, and supporting continuous delivery. In this course, you will learn about various application deployment models suitable for cloud-native and hybrid applications within the GCP. You will explore essential factors influencing deployment choices, as well as key GCP services like Compute Engine, Google Kubernetes Engine (GKE), Cloud Functions, and Cloud Run. Then you will compare serverless options and focus on deployment strategies such as blue/green, canary, and traffic splitting. Finally, you will discover rollback techniques, feature flags, principles of high availability, disaster recovery, and microservices for resilient application design. This course is one of a collection that prepares learners for the Google Professional Cloud DevOps Engineer exam.