Developing Applications with Google Cloud

Name: Developing Applications with Google Cloud
Price: 17950.00 ZAR

Learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem on this three-day course.

3 day course

Partner of the Year

Virtual, Private

Virtual Classroom

A convenient and interactive learning experience, that enables you to attend one of our courses from the comfort of your own home or anywhere you can log on. We offer Virtual Classroom on selected live classroom courses where this will appear as an option under the location drop down if available. These can also be booked as Private Virtual Classrooms for exclusive business sessions.

Private

A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

As a trusted Google Cloud Partner, Jellyfish has been selected by Google to facilitate the delivery of this three-day course.

Through a combination of presentations, demos, and hands-on labs, you’ll learn how to use Google Cloud services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. We’ll share best practices for application development and using Cloud Datastore and Google Cloud Storage.

Our Developing Applications with Google Cloud course is delivered via Virtual Classroom. We also offer it as a private training session that can be delivered virtually or at a location of your choice in South Africa.

Course overview

Who should attend:

This course is for application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud.

What you'll learn:

By the end of this course, you will be able to:

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

Prerequisites

To get the most benefit from this course you should have completed Google Cloud Fundamentals or have equivalent experience. We also recommend you have a working knowledge of Node.js, and basic proficiency with command-line tools and Linux operating system environments.

Course agenda

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 Google Cloud Storage, Google Cloud Datastore, Cloud Bigtable, Google Cloud SQL, and Cloud Spanner

Module 4: Best Practices for Using Datastore

Best practices related to the following: Queries; Built-in and composite indexes; Inserting and deleting data (batch operations); Transactions; and error handling
Demo: Explore Datastores
Demo: Use Dataflow to bulk-load data into Datastore
Lab: Store application data in Cloud Datastore

Module 5: Performing Operations on Buckets & 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 Google Cloud Storage

Naming buckets for static websites and other uses
Naming objects (from an access distribution perspective)
Performance considerations
Lab: Store files in Cloud Storage

Module 7: Handling Authentication & Authorization

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
Lab: Adding user authentication to your application

Module 8: 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
Lab: Develop a backend service to process messages in a message queue

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 Google Cloud Endpoints

Open API deployment configuration
Lab: Deploy an API for the Quiz application

Module 12: Deploying an Application

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: Computer Options for Your Application

Considerations for choosing an execution environment for your application or service
Platform comparisons

Module 14: Debugging, Monitoring & 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

Book this course

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+27 (10) 5008676