Developing Applications with Google Cloud

3 days
GCPDev - Version:1
Description
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 pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications.
Intended audience
Application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform
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  • 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

    • Objectives
      • • Design and develop secure, scalable, reliable, loosely coupled application
      • components and microservices.
      • • Understand how to rearchitect applications for the cloud.

    • Activities
      • Module quiz

  • 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
    • • Demo: Connecting Securely to a Cloud SQL Database

    • Objectives
      • Choose the appropriate data storage option for application data.

    • Activities
      • 1 demo and 1 quiz

  • Best Practices for Using Datastore
    • • Best practices related to using Firestore in Datastore mode for:
    • • Queries
    • • Built-in and composite indexes
    • • Inserting and deleting data (batch operations)
    • • Transactions
    • • Error handling
    • • Demo: Explore Datastore
    • • Demo: Use Dataflow to Bulk-load Data into Datastore
    • • Lab: Storing Application Data in Datastore

    • Objectives
      • Understand best practices related to queries, built in and composite indexes,
      • inserting and deleting data (batch operations), and transactions error handling.

    • Activities.
      • 2 demos, 1 lab, and 1 quiz

  • Performing Operations on Buckets and 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
    • • Understand Cloud Storage concepts.
    • • Differentiate between strongly consistent and eventually consistent operations.
    • • Access Cloud Storage through request endpoints.
    • • Use object composition to upload an object in parallel.
    • • Use truncated exponential backoff to deal with network failures.

    • Objectives
      • • Understand Cloud Storage concepts.
      • • Differentiate between strongly consistent and eventually consistent operations.
      • • Access Cloud Storage through request endpoints.
      • • Use object composition to upload an object in parallel.
      • • Use truncated exponential backoff to deal with network failures.

    • Activities
      • 2 demos and 1 quiz

  • Best Practices for Using Cloud Storage
    • • Naming buckets for static websites and other uses
    • • Naming objects (from an access distribution perspective)
    • • Performance considerations
    • • Lab: Storing Image and Video Files in Cloud Storage
    • Objectives

    • Activities
      • 1 lab and 1 quiz

  • 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

    • Objectives
      • Implement federated identity management.

    • Activities
      • 1 lab and 1 quiz

  • Using Pub/Sub to Integrate Components of Your Application
    • • Topics, publishers, and subscribers
    • • Pull and push subscriptions
    • • Use cases for Pub/Sub
    • • Lab: Developing a Backend Service

    • Objectives
      • • Understand Pub/Sub topics, publishers, and subscribers.
      • • Understand pull and push subscriptions.
      • • Explore use cases for Pub/Sub.

    • Activities
      • 1 lab and 1 quiz

  • Adding Intelligence to Your Application
    • Overview of pre-trained machine learning APIs such as the Vision API and the Cloud
    • Natural Language Processing API

    • Objectives
      • Explore pre-trained machine learning APIs such as Cloud Vision API and Cloud
      • Natural Language API.

    • Activities
      • 1 quiz

  • 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
    • • Demo: Invoke Cloud Functions Through Direct Request-response
    • • Lab: Processing Pub/Sub Data using Cloud Functions

    • Objectives
      • Use Cloud Functions for event-driven processing.

    • Activities
      • 1 demo, 1 lab, and 1 quiz

  • Managing APIs with Cloud Endpoints
    • • Open API deployment configuration
    • • Lab: Deploying an API for the Quiz Application

    • Objectives
      • Understand OpenAPI deployment configuration.
    • Activities

  • Deploying Applications
    • • 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

    • Objectives
      • • Understand how to create and store container images.
      • • Create repeatable deployments with deployment configuration and templates.
    • Activities

  • 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

    • Objectives
      • Explore considerations for choosing a compute option for your application
      • or service.

    • Activities
      • 1 quiz

  • Debugging, Monitoring, and 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

    • Objectives
      • • Debug an application error by using Cloud Debugger and Error Reporting.
      • • Use Cloud Monitoring and Cloud Trace to trace a request across services, observe,
      • and optimize performance.

    • Activities
      • 1 demo, 2 labs and 1 quiz
  • Completed Google Cloud Fundamentals or have equivalent experience; Working knowledge of Node.js, Java, or Python; Basic proficiency with command-line tools and Linux operating system environments.
  • Describe best practices for cloud-native application development
  • Differentiate between data storage options for various types of application data
  • Implement a solution for storing non-relational application data in Datastore
  • Implement storage solution for objects (binary and large files) using Cloud Storage
Contact Us
03-6176666
03-6176677 info@sela.co.il

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