COVID-19 NOTICE: All our courses in Online or Live Virtual Class format until further notice. More info at: training@pue.es
12 Jun 2023 - 14 Jun 2023 | Developing Applications with Google Cloud Platform |
|
12 Jun 2023 - 14 Jun 2023 | Developing Applications with Google Cloud Platform |
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
12 Jun 2023 - 14 Jun 2023 | Developing Applications with Google Cloud Platform |
|
12 Jun 2023 - 14 Jun 2023 | Developing Applications with Google Cloud Platform |