Developing Applications with Google Cloud

Course subjects

Module 1: Best Practices for Application Development

• Code and environment management

• Design and development of secure, scalable, reliable, loosely coupled application components and microservices

• Continuous integration and delivery

• Re-architecting applications for the cloud

Module 2: Getting Started with Google Cloud Development

• Overview of Google Cloud services for apps and scripts:

  • Google Cloud APIs

  • Cloud SDK

  • Cloud Client Libraries

  • Cloud Shell

  • Cloud Code

• Demo: Google APIs Explorer

• Lab: Setting up a Development Environment

Module 3: Overview of Data Storage Options

• Overview of options to store application data

• Use cases for Cloud Storage, Firestore, Cloud Bigtable, Cloud SQL, and Cloud Spanner

• Demo: Connecting Securely to a Cloud SQL Database

Module 4: Best Practices for Using Datastore

• Best practices related to using Firestore in Datastore mode for:

  • Queries

  • Built-in and composite indexes

  • Inserting and deleting data (batch operations)

  • Transactions

  • Error handling

• Demo: Explore Datastore

• Demo: Use Dataflow to Bulk-load Data into Datastore

• Lab: Storing Application Data in Datastore

Module 5: Performing Operations on Buckets and Objects

• Cloud Storage concepts

• Consistency model

• Demo: Explore Cloud Storage

• Request endpoints

• Composite objects and parallel uploads

• Truncated exponential backoff

• Demo: Enable CORS Configuration in Cloud Storage

Module 6: Best Practices for Using Cloud Storage

• Naming buckets for static websites and other uses

• Naming objects (from an access distribution perspective)

• Performance considerations

• Lab: Storing Image and Video Files in Cloud Storage

Module 7: Handling Authentication and Authorisation

• Identity and Access Management (IAM) roles and service accounts

• User authentication by using Firebase Authentication

• User authentication and authorisation by using Cloud Identity-Aware Proxy

• Lab: Adding User Authentication to your Application

Module 8: Using Pub/Sub to Integrate Components of Your Application

• Topics, publishers, and subscribers

• Pull and push subscriptions

• Use cases for Cloud Pub/Sub

• Lab: Developing a Backend Service

Module 9: Adding Intelligence to Your Application

• Overview of pre-trained machine learning APIs such as Cloud Vision API and Cloud Natural Language Processing API

Module 10: Using Google Cloud Functions for Event-Driven Processing

• Key concepts such as triggers, background functions, HTTP functions

• Use cases

• Developing and deploying functions

• Logging, error reporting, and monitoring

• Demo: Invoke Cloud Functions Through Direct Request-response

• Lab: Processing Pub/Sub Data using Cloud Functions

Module 11: Managing APIs with Cloud Endpoints

• Open API deployment configuration

• Lab: Deploying an API for the Quiz Application

Module 12: Deploying Applications

• Creating and storing container images

• Repeatable deployments with deployment configuration and templates

• Demo: Exploring Cloud Build and Cloud Container Registry

• Lab: Deploying the Application into Kubernetes Engine

Module 13: Compute Options for Your Application

• Considerations for choosing an execution environment for your application or service:

  • Compute Engine

  • Google Kubernetes Engine (GKE)

  • Cloud Run

  • Cloud Functions

• Platform comparisons

  • Comparing App Engine and Cloud Run

Module 14: Debugging, Monitoring, and Tuning Performance

• Google Cloud’s operations suite

• Managing performance

• Lab: Debugging Application Errors

• Logging

• Monitoring and tuning performance

• Identifying and troubleshooting performance issues

• Lab: Harnessing Cloud Trace and Cloud Monitoring