COURSE OBJECTIVE:
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 Container Engine as a runtime environment and later switch to a no-ops solution with Google App Engine Flex.
TARGET AUDIENCE:
• Application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform
COURSE PREREQUISITES:
To get the most benefit from this course, participants should have the following prerequisites:
• Completed Google Cloud Platform Fundamentals (GO8324) or have equivalent experience
• Working knowledge of Node.js
• Basic proficiency with command-line tools and Linux operating system environments
COURSE CONTENT:
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
• Lab: Set up Google Client Libraries, Google Cloud SDK, and Firebase SDK on a Linux instance and set up application credentials
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 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
Module 5: Performing Operations on Buckets and Objects
• 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
• Lab: Store files in Cloud Storage
Module 7: Securing Your Application
• 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
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 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: Using Cloud Endpoint to Deploy APIs
• Open API deployment configuration
• Lab: Deploy an API for your application
Module 12: Debugging Your Application by Using Google Stackdriver
• Stackdriver Debugger
• Stackdriver Error Reporting
• Lab: Debugging an application error by using Stackdriver Debugger and Error Reporting
Module 13: 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 Flex test and production environments
Module 14: Execution Environments for Your Application
• Considerations for choosing an execution environment for your application or service: Google Compute Engine, Container Engine, App Engine Flex, Cloud Functions, Cloud Dataflow
• Lab: Deploying your application on App Engine Flex
Module 15: Monitoring and Tuning Performance
• Best practices and watchpoints for performance
• Key concepts related to Stackdriver Trace and Stackdriver Monitoring
• Detecting and resolving performance issues
• Lab: Use Stackdriver Monitoring and Stackdriver Trace to trace a request across services, observe, and optimize performance
FOLLOW ON COURSES:
Not available. Please contact.