Developing Applications with Google Cloud

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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  • 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: 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.

  • Module 3: Overview of Data Storage Options
    • Overview of options to store application data.
    • Use cases for Google Cloud Storage, Cloud Firestore, Cloud Bigtable, Google Cloud SQL, and Cloud Spanner.

  • Module 4: Best Practices for Using Cloud Firestore
    • Best practices related to using Cloud Firestore in Datastore mode for:Queries, Built-in and composite indexes, Inserting and deleting data (batch operations),Transactions,Error handling.
    • Bulk-loading data into Cloud Firestore by using Google Cloud Dataflow.

  • Module 5: Performing Operations on Cloud Storage
    • Operations that can be performed on buckets and objects.
    • Consistency model.
    • Error handling.

  • Module 6: 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.

  • Module 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.

  • Module 8: Using Pub/Sub to Integrate Components of Your Application
    • Topics, publishers, and subscribers.
    • Pull and push subscriptions.
    • Use cases for Cloud Pub/Sub.

  • 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 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.

  • Module 11: Managing APIs with Cloud Endpoints
    • Open API deployment configuration.

  • Module 12: Deploying Applications
    • Creating and storing container images.
    • Repeatable deployments with deployment configuration and templates.

  • Module 13: Execution Environments for Your Application
    • Considerations for choosing an execution environment for your application or service:Google Compute Engine (GCE),Google Kubernetes Engine (GKE), App Engine flexible environment, Cloud Functions, Cloud Dataflow, Cloud Run.

  • Module 14: Debugging, Monitoring, and Tuning Performance
    • Application Performance Management Tools.
    • 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.
  • Completed Google Cloud Platform Fundamentals or have equivalent experience
  • Working knowledge of Node.js, Python, or Java
  • Basic proficiency with command-line tools and Linux operating system environments
  • 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 flexible environment.
Contact Us
03-6176066
03-6176677 info@sela.co.il

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