Solution Developer Step 2 Developing Solutions for Google Cloud (CPD200)

Developing Solutions for Google Cloud Platform (CPD200)

This 3 day instructor-led class introduces participants to Solution Development for Google Cloud Platform. Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn how to develop cloud-based applications using Google App Engine, Google Cloud Datastore, and Google Cloud Endpoints.

Objectives

  • Manage Google Cloud Source Repositories using the Google Cloud Platform Console
  • Test an App Engine application using the App Engine SDK
  • Access the App Engine Development Server Console
  • Create an API using Google Cloud Endpoints
  • Test a Cloud Endpoint API using the API Explorer
  • Deploy an application to App Engine using the App Engine SDK
  • Design, structure and configure an App Engine application using multiple services
  • Create Client IDs using the Google Cloud Platform Console
  • Secure App Engine services and Cloud Endpoints APIs using authentication
  • Configure and upload new versions of App Engine services
  • Integrate Google Cloud Logging into App Engine applications
  • Review quota usage in a Google Cloud Platform project
  • Integrate different types of storage with App Engine applications
  • Create and implement a data model for use with Google Cloud Datastore
  • Implement a variety of queries in Google Cloud Datastore
  • Update the index configuration in Google Cloud Datastore
  • Implement transactions using Google Cloud Datastore
  • Review Google Cloud Trace reports in the Google Cloud Platform Console
  • Integrate the Memcache API into an App Engine application to increase performance
  • Configure, run and review the output of Google Cloud Security Scanner
  • Configure the scaling behaviour of individual App Engine Services
  • Create App Engine handlers for Push Task Queues
  • Send email from an App Engine application using the Mail API
  • Schedule Tasks in App Engine using the Cron Service
  • Update the configuration of the Cron Service
  • Secure Task Push, and Cron Service handlers
  • Export Google Cloud Platform data from a project
  • Delete Google Cloud Platform projects and resources

Intended Audience

This class is intended for experienced application developers who want to learn how to migrate applications to the cloud or to create native, cloud-based applications for Google Cloud Platform. Prerequisites

Prerequisites

  • Attended CP100A - Google Cloud Platform Fundamentals (or equivalent experience)
  • Basic proficiency with command-line tools and linux operating system environments
  • Experience developing applications and APIs using a common programming language such as Java or Python
  • Prior solutions development experience, either on-premises or in a public cloud environment

Course Outline

  • Developing Solutions for Google Cloud Platform
    • Identify the advantages of Google Cloud Platform for solution development
    • Identify services and tools available for solution development using Google Cloud Platform
    • Compare examples of Google Cloud Platform architectures for solution development
    • Create a project for the course
    • Use Google Cloud Shell to develop and test an application using the App Engine SDK
    • Configure Google Cloud Source Repositories to remotely host code in Google Cloud Platform
  • Google Cloud Endpoints
    • Identify Cloud Endpoints features
    • Explain how to develop APIs using Cloud Endpoints
    • Compare development of Cloud Endpoints APIs using Java and Python
    • Review and edit Cloud Endpoints source code
    • Deploy an application to App Engine
    • Test a Cloud Endpoints API in the APIs Explorer
  • App Engine Services
    • Explain the use cases for App Engine Services and how to use them in structuring an application
    • Identify how to deploy and access individual App Engine services
    • Explain how to route requests to individual services
    • Review the code for a sample application used throughout the remainder of the course
    • Deploy multiple App Engine services to a single project
  • User Authentication and Credentials
    • Compare authentication and authorization
    • Identify options for securing App Engine applications
    • Explain the use cases for Application Default Credentials
    • Configure the OAuth consent screen and create a client ID
    • Modify Conference Central to use your client ID
    • Test Conference Central authentication
    • Modify your admin service to require administrator rights
  • Managing App Engine Applications
    • Explain the use cases for App Engine versions
    • Identify how to access App Engine monitoring and logging services
    • Explain the use of resource quotas and how to troubleshoot related errors
    • Review App Engine settings, quotas, instances, and logs
    • Update App Engine services to log to Cloud Logging
    • Deploy new versions of your default and admin services
    • Route all traffic to a new version of the default service
  • Storage for Solution Developers
    • Compare storage options for App Engine Solutions Developers
    • Explain the purpose of, and use cases for, Google Cloud Storage
    • Compare Cloud SQL integration with App Engine and Compute Engine
    • Explain basic Cloud Datastore terminology and concepts, including Entity Groups
    • Update an existing application to save data persistently
    • Test saving application data to Cloud Datastore
    • List and view Cloud Datastore entities in the Google Cloud Platform Console
  • Queries and Indexes
    • Identify available query filters for Cloud Datastore
    • Compare single-property, and composite indexes in Cloud Datastore
    • Configure and optimize indexes for Cloud Datastore
    • Add support for querying entities by kind and ancestor
    • Add query filters to Cloud Datastore searches
    • Update an index configuration to support composite indexes
  • Entity Groups, Consistency, and Transactions
    • Identify the steps of a Cloud Datastore write
    • Compare strong and eventual consistency in Cloud Datastore
    • Identify how to achieve strongly consistent queries
    • Identify best practises for Cloud Datastore transactions
    • Add support for using Cloud Datastore transactions to an application
    • Add a Cloud Endpoint API method to view data from a different service
  • App Engine Performance and Optimization
    • Identify Memcache types, use cases, and implementation patterns
    • Compare available scaling behaviours for application services
    • Configure application scaling for individual services
    • Review Cloud Trace reports for an application
    • Configure and run a security scan for an application
    • Update an application to make use of memcache
    • Configure and test application scaling for application services
  • Task Queues
    • Compare Push and Pull Queues
    • Explain how to schedule tasks with the Cron Service
    • Configure and securing Push and Pull Queues, as well as the Cron Service
    • Add a task handler to send an email using the Mail API
    • Add a Cron Service handler and configuration to an existing application
    • Export Google Cloud Platform data from a project
    • Delete Google Cloud Platform resources
    • Shut down a Google Cloud Platform project