Curso Developing Applications with Google Cloud

Desarrolladores de aplicaciones que deseen crear aplicaciones nativas de la nube o rediseñar aplicaciones existentes que sean ejecutadas en Google Cloud.

• Utilizar las mejores prácticas para el desarrollo de aplicaciones.
• Seleccionar la opción de almacenamiento de datos adecuada para los datos de la aplicación.
• Implementar la gestión de identidades federadas.
• Desarrollar microservicios o componentes de aplicación poco acoplados.
• Integrar componentes de aplicaciones y fuentes de datos.
• Depurar, rastrear y monitorear aplicaciones.
• Realizar implementaciones repetibles con contenedores y servicios de implementación.
• Seleccionar el entorno de tiempo de ejecución de la aplicación adecuado.

Módulo 1: Best Practices for Application Development

Temas:

• 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

Objetivos:

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

Módulo 2: Getting Started with Google Cloud Development

Temas:

• Overview of Google Cloud services for apps and scripts:
  • Google Cloud APIs
  • Cloud SDK
  • Cloud Client Libraries
  • Cloud Shell
  • Cloud Code
• Demo: Google APIs Explorer
• Lab: Setting up a Development Environment

Objetivos:

Identify different Google Cloud services for hosting applications and scripts.

Módulo 3: Overview of Data Storage Options

Temas:

• 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

Objetivos:

Choose the appropriate data storage option for application data.

Módulo 4: Best Practices for Using Datastore

Temas:

• 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

Objetivos:

• Bulk-load data into Firestore by using Dataflow.
• Understand best practices related to queries, built in and composite indexes, inserting and deleting data (batch operations), and transactions error handling.

Módulo 5: Performing Operations on Buckets and Objects

Temas:

• 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

Objetivos:

• 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.

Módulo 6: Best Practices for Using Cloud Storage

Temas:

• 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

Objetivos:

Understand how to name buckets for static websites and other uses, how to name objects (from an access distribution perspective, and performance considerations.

Módulo 7: Handling Authentication and Authorization

Temas:

• 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

Objetivos:

Implement federated identity management.

Módulo 8: Using Pub/Sub to Integrate Components of Your Application

Temas:

• Topics, publishers, and subscribers
• Pull and push subscriptions
• Use cases for Pub/Sub
• Lab: Developing a Backend Service

Objetivos:

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

Módulo 9: Adding Intelligence to Your Application

Temas:

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

Objetivos:

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

Módulo 10: Using Cloud Functions for Event-Driven Processing

Temas:

• 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

Objetivos:

Use Cloud Functions for event-driven processing.

Módulo 11: Managing APIs with Cloud Endpoints

Temas:

• Open API deployment configuration
• Lab: Deploying an API for the Quiz Application

Objetivos:

Understand OpenAPI deployment configuration.

Módulo 12: Deploying Applications

Temas:

• 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

Objetivos:

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

Módulo 13: Compute Options for Your Application

Temas:

• 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

Objetivos:

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

Módulo 14: Debugging, Monitoring, and Tuning Performance

Temas:

• 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

Objetivos:

• 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.

Documentación oficial para el curso Developing Applications with Google Cloud.

• Formador certificado por Google Cloud.
• Más de 5 años de experiencia profesional.
• Más de 4 años de experiencia docente.
• Profesional activo en empresas del sector IT.