Google Cloud

Developing Applications with Google Cloud Platform

21 hours
  1380 €    1035.00 €
Classroom or Live Virtual Class
Classroom or Live Virtual Class

11 Nov 2020 - 13 Nov 2020   |  Confirmed

21 h.      1380 €    1035.00 €

Developing Applications with Google Cloud Platform

21 h |   1380 €    1035.00 € | Madrid o Live Virtual Class | Spanish
Wednesday - Thursday (09:00h - 18:00h) and Friday (09:00h - 14:00h)
Calendario de sesiones

11 Nov 2020 - 13 Nov 2020   |  Confirmed

21 h.      1380 €    1035.00 €

Developing Applications with Google Cloud Platform

21 h |   1380 €    1035.00 € | Barcelona o Live Virtual Class | Spanish
Wednesday - Thursday (09:00h - 18:00h) and Friday (09:00h - 14:00h)
Calendario de sesiones

14 Dec 2020 - 16 Dec 2020   |  

21 h.      1380 €    1035.00 €

Developing Applications with Google Cloud Platform

21 h |   1380 €    1035.00 € | Live Virtual Class | English
Monday - Tuesday - Wednesday (09:00h - 17:00h)
Calendario de sesiones

Description

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.

Audience and prerequisites

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

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

Topics

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

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 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.

Performing Operations on Buckets and Objects

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

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.

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.

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.

Adding Intelligence to Your Application

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

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.

Managing APIs with Google Cloud Endpoints

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

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.
  • Lab: Use Deployment Manager to deploy a web application into Google App Engine flexible environment test and production environments.

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.

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.

Open calls

11 Nov 2020 - 13 Nov 2020   |  Confirmed

21 h.      1380 €    1035.00 €

Developing Applications with Google Cloud Platform

21 h |   1380 €    1035.00 € | Madrid o Live Virtual Class | Spanish
Wednesday - Thursday (09:00h - 18:00h) and Friday (09:00h - 14:00h)
Calendario de sesiones

11 Nov 2020 - 13 Nov 2020   |  Confirmed

21 h.      1380 €    1035.00 €

Developing Applications with Google Cloud Platform

21 h |   1380 €    1035.00 € | Barcelona o Live Virtual Class | Spanish
Wednesday - Thursday (09:00h - 18:00h) and Friday (09:00h - 14:00h)
Calendario de sesiones

14 Dec 2020 - 16 Dec 2020   |  

21 h.      1380 €    1035.00 €

Developing Applications with Google Cloud Platform

21 h |   1380 €    1035.00 € | Live Virtual Class | English
Monday - Tuesday - Wednesday (09:00h - 17:00h)
Calendario de sesiones