Duración 3 días 
Material de soporte 
Presencial, Virtual, Privado Presencial
Formación presencial e interactiva en el aula que se llevará a cabo desde nuestros centros de capacitación globales.
Virtual Presencial
Una experiencia de aprendizaje única e interactiva, que te permite asistir a uno de nuestros cursos desde la comodidad de tu hogar o en cualquier lugar donde te conectes a internet. Dispondrás de un aula virtual para cada curso seleccionado, una sesión en directo. Disponible también como reserva de aulas virtuales privadas para sesiones de negocios exclusivas.
Privado
Una sesión de formación privada para tu equipo. Los grupos pueden ser de cualquier tamaño, en el sitio de tu elección, o en nuestros centros de formación.
Como socio de confianza de Google Cloud, Google ha seleccionado a Jellyfish para facilitar la impartición de este curso de tres días.
Mediante una combinación de presentaciones, demostraciones y laboratorios prácticos, aprenderá a usar los servicios de Google Cloud Platform y las API de aprendizaje automático previamente capacitadas para crear aplicaciones nativas de la nube seguras, escalables e inteligentes.
Diseñado para desarrolladores de aplicaciones, en este curso compartiremos las mejores prácticas para el desarrollo de aplicaciones y el uso de Cloud Datastore y Google Cloud Storage.
Este curso de Desarrollo de aplicaciones con Google Cloud Platform se ofrece como un aula virtual en vivo o una sesión de capacitación privada y se puede impartir en nuestro propio centro de capacitación en The Shard, Londres o en cualquier lugar de su elección.
Resumen del curso
Who should attend:
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.
Walk away with the ability to:
- 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
Prerequisites
To get the most benefit from this course you should have completed Google Cloud Platform Fundamentals or have equivalent experience.
It’s recommended that you have a working knowledge of Node.js. You will need a basic proficiency with command-line tools and Linux operating system environments.
Course agenda
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 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
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 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
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
- 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 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
Module 11: Managing APIs with Google Cloud Endpoints
- Open API deployment configuration
- Lab: Deploy an API for your application
Module 12: Deploying an Application by Using Google Cloud Cloud Build, 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
Module 13: 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
Module 14: 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 optimise performance
New to the cloud?
View our range of guides for all you need to know about the fundamentals of cloud technologies: