GOOGLE CLOUD

Developing Applications with Google Cloud

Learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. This course uses lectures, demos, and hands-on labs to show you how to use Google Cloud services and pretrained machine learning APIs to build secure, scalable, and intelligent cloud-native applications.

What you will learn

  • Use best practices for application development

  • Choose the appropriate data storage option for application data

  • Implement federated identity management

  • Develop loosely coupled application components or microservices

  • Integrate application components and data sources

  • Debug, trace, and monitor applications

  • Perform repeatable deployments with containers and deployment services

  • Choose the appropriate application runtime environment

Level

  • Intermediate

Duration

  • 3 x 8 hour sessions

Language

  • Delivered in English

Prerequisites

  • Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience

  • Working knowledge of Node.js, Python, or Java

  • Basic proficiency with command-line tools and Linux operating system environments

Who this course is for

  • Application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud

Course TOPICS

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

  • Design and develop secure, scalable, reliable, loosely coupled application components and microservices.

  • Understand how to rearchitect applications for the cloud

Module 2: Getting Started with Google Cloud Development

  • Google Cloud APIs

  • Cloud SDK

  • Cloud Client Libraries

  • Cloud Shell

  • Cloud Code

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

Module 4: Best Practices for Using Datastore

  • Queries

  • Built-in and composite indexes

  • Inserting and deleting data (batch operations)

  • Transactions

  • Error handling

Module 5: Performing Operations on Buckets and Objects

  • Cloud Storage concepts

  • Consistency model

  • Request endpoints

  • Composite objects and parallel uploads

  • Truncated exponential backoff

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

Module 7: Handling Authentication and Authorization

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

  • User authentication by using Firebase Authentication

  • User authentication and authorization by using 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 Pub/Sub

Module 9: Adding Intelligence to Your Application

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

Module 10: Using 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

Module 11: Managing APIs with Cloud Endpoints

  • Open API deployment configuration

Module 12: Deploying Applications

  • Creating and storing container images

  • Repeatable deployments with deployment configuration and templates

Module 13: Compute Options for Your Application

  • Considerations for choosing a compute option 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

  • Logging

  • Monitoring and tuning performance

  • Identifying and troubleshooting performance issues

Ref: T-GCPDEV-I-01

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