Developing Applications with Google Cloud Platform

Price
$1,995.00 USD

Duration
3 Days

 

Delivery Methods
Virtual Instructor Led
Private Group

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Course Overview

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.

Course Objectives

  • 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
  • Kubernetes Engine as a runtime environment and later switch to a no-ops solution with Google App Engine Flex.

    • Who Should Attend?

    Application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform
    • Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
    • Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
    • Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
    • Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
    • Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
    • Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

    Course 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

    • Agenda

    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

    2 - 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
    • Lab: Set up Google Client Libraries, Google Cloud SDK, and Firebase SDK on a Linux instance and set up application credentials

    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

    4 - Best Practices for Using Google 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
    • Lab: Store application data in Cloud Datastore

    5 - Performing Operations on Buckets and Objects

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

    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
    • Setting up and debugging a CORS configuration on a bucket
    • Lab: Store files in Cloud Storage

    7 - Handling Authentication and 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: Authenticate users by using Firebase Authentication

    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

    9 - Adding Intelligence to Your Application

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

    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

    11 - Managing APIs with Google Cloud Endpoints

    • Open API deployment configuration
    • Lab: Deploy an API for your application

    12 - Deploying an Application by Using Google Cloud Cloud Build, Google Cloud Container Registry, and Google Cloud Deployment Manager

    • Creating and storing container images
    • Repeatable deployments with deployment configuration and templates
    • Lab: Use Deployment Manager to deploy a web application into Google App Engine flexible environment test and production environments

    13 - Execution Environments for Your Application

    • Considerations for choosing an execution environment for your application or service:
    • Google Compute Engine
    • Kubernetes Engine
    • App Engine flexible environment
    • Cloud Functions
    • Cloud Dataflow
    • Lab: Deploying your application on App Engine flexible environment

    14 - Debugging, Monitoring, and Tuning Performance by Using Google Stackdriver

    • Stackdriver Debugger
    • Stackdriver Error Reporting
    • Lab: Debugging an application error by using Stackdriver Debugger and Error Reporting
    • Stackdriver Logging
    • Key concepts related to Stackdriver Trace and Stackdriver Monitoring. Lab: Use Stackdriver Monitoring and Stackdriver Trace to trace a request across services, observe, and optimize performance
     

    Upcoming Class Dates and Times

    Feb 3, 4, 5
    9:00 AM - 5:00 PM
    ENROLL $1,995.00 USD

    Virtual: Online - CST
     



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