Developing Applications with Google Cloud Platform

Get started with devlopping applications on Google Cloud. Learn how to design, develop and deploy applications connected to the Google Cloud ecosystem.

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  • Duration: 3 days
  • Regular price: $2,634
  • Preferential price: $2,238

Course outline

Design, develop, and deploy applications on GCP

Duration : 3 days

This course was formerly titled “Developing Solutions with Google Cloud Platform” (CPD200).
In this course, application developers learn how to design, develop, and deploy applications
that seamlessly integrate components from the Google Cloud ecosystem. Through a
combination of presentations, demos, and hands-on labs, participants learn how to use GCP
services and pre-trained machine learning APIs to build secure, scalable, and intelligent
cloud-native applications.

Prerequisites

To get the most benefit from this course, participants should have the following
prerequisites:
• Completed Google Cloud Platform Fundamentals or have equivalent
experience
• Working knowledge of Node.js
• Basic proficiency with command line tools and Linux operating system
environments

Objectives

This course teaches participants the following skills:
• 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; use Google
Container
• Engine as a runtime environment and later switch to a no-ops solution with Google
App Engine Flex.

Contents

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

Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK

How to set up and use Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK

Overview of Data Storage Options

• Overview of options to store application data
Use cases for Google Cloud Storage, Google Cloud Datastore, Cloud Bigtable, Google Cloud SQL, and Cloud Spanner

Best Practices for Using Cloud Datastore

• Best practices related to the following:
• Queries
• Built-in and composite indexes
• Inserting and deleting data (batch operations)
• Transactions
• Error handling
• Bulk-loading data into Cloud Datastore by using Google Cloud Dataflow

Performing Operations on Buckets and Objects

• Operations that can be performed on buckets and objects
• Consistency model
• Error handling

Best Practices for Using Cloud Storage

• Naming buckets for static websites and other uses
• Naming objects (from an access distribution perspective)
• Performance considerations
• Setting up and debugging a CORS configuration on a bucket

Securing Your Application

• Cloud Identity and Access Management (IAM) roles and service accounts
• User authentication by using Firebase Authentication
• User authentication and authorization by using Cloud Identity-Aware Proxy
Using Google Cloud Pub/Sub to Integrate Components of Your
Application
• Topics, publishers, and subscribers
• Pull and push subscriptions
• Use cases for Cloud Pub/Sub

Adding Intelligence to Your Application

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

Natural Language Processing API

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
Using Cloud Endpoints to Deploy APIs
• Open API deployment configuration
Debugging Your Application by Using Google Stackdriver
• Stackdriver Debugger
• Stackdriver Error Reporting
Deploying an Application by Using Google Cloud Container Builder, Google Cloud Container Registry, and Google Cloud Deployment Manager
• Creating and storing container images
• Repeatable deployments with deployment configuration and templates
Execution Environments for Your Application
• Considerations for choosing an execution environment for your application or service:
• Google Compute Engine
• Container Engine
• App Engine Flex
• Cloud Functions
• Cloud Dataflow
Monitoring and Tuning Performance
• Best practices and watchpoints for performance
• Key concepts related to Stackdriver Trace and Stackdriver Monitoring
• Detecting and resolving performance issues

Surround yourself with the best

Pierre-Edouard Brondel
Pierre-Edouard Brondel
Trainer and Desktop Application Consultant
Renowned as an educational expert in the IT and office technology field who has accumulated more than 25 years of experience, Pierre-Édouard is first and foremost passionate about human capital.
Marc Maisonneuve
Marc Maisonneuve
Trainer and Professional Efficiency Consultant
Frédéric Paradis
Frédéric Paradis
Certified Trainer and Cloud Architect
As a certified Microsoft trainer, Frédéric describes himself as a Cloud magician who easily navigates the mythical space between technology and reality.
Luc Labelle
Certified Trainer and IT Consultant
Recognized by his peers as an inspiring coach, trainer, and consultant, Luc is able to transfer his knowledge to benefit his teams.
Be aware of trends, innovations and best practices, every month.
Confidentiality
Training center accredited by Emploi-Québec, Accreditation : 0051460
GST : 141582528 – QST : 1019557738
© 2020 AFI
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