GCP DevOps: CloudOps with Google Cloud Platform

In this 18-video course learners explore features of Google Cloud Platform (GCP) Google Kubernetes Engine (GKE) best practices for operating containers and how to build cloud-native applications with CloudOps methodology. First compare Google Cloud Source Repository with GitHub and see how automated deployment capabilities of Google Cloud Deployment Manager compare with Terraform. Then delve into GCPs machine learning (ML) artificial intelligence and analytical capabilities and essential design patterns for connecting GCP with other cloud platforms. Discover how to create and configure GKE clusters; deploy applications across multiple Kubernetes clusters; create repositories and manage code with Google Cloud Source Repository; and deploy applications from Cloud Source Repository to App Engine. Next learn how to automate the configuration of GCP resources and application deployment with Google Cloud Deployment Manager create virtual machine (VM) instances on GCP; build applications with Terraform; and configure AutoML and BigQuery to manage large volumes of data and build ML models. Finally learners discover how to set up fully-managed real-time messaging environments and transfer data between GCP and other Cloud Service providers.