Leveraging Architectural Design Patterns on the Google Cloud

Google Cloud Platform provides a wide range of services that cover all aspects of public cloud computing. This course, Leveraging Architectural Design patterns on the Google Cloud, will teach you how to use the core design choices in storage and compute to create complex architectures for specific uses. You will first learn about specific types of reusable design patterns that can be built with GCP components. These include managed instance groups, cloud functions for event driven compute, lambda, kappa architectures, BigQuery ML, and Cloud ML Engine to build machine learning applications. Next, we will show you how to combine Jenkins, Cloud Source Repositories and the Google Container Registry in order to create a CI/CD pipeline. First, create a cluster and install Helm (which allows you to use Kubernetes' package manager). Next, deploy your app using a canary release. Finally, commit the code into the Cloud Source Repos. Finally, use Jenkins (which automates the build server) for pushing the master branch into production. You will also learn how to construct different types of networking patterns using the GCP. You can use a bastion or jump host to limit external touch-points within your VPC network. This course will prepare you to identify the most important decisions for a Cloud Architect and to be able to use complex architectural design patterns that others have already used.