Developing Applications with Google Cloud

Best Practices for Cloud Application Development.

• Discuss best practices for application development in the cloud.
• Describe patterns for improving stability and reliability of cloud applications.

Getting Started with Google Cloud Development.

• Discuss how the Google Cloud SDK lets you interact with Google Cloud services.
• Describe how Cloud Client Libraries can be used in your applications.
• Discuss how Cloud Code helps developers create cloud applications on Google Cloud.

Data Storage Options.

• Understand how to choose the appropriate data storage option for application use cases.
• Use Firestore to store document-based application data.
• Use Cloud Storage to store unstructured data.

Handling Authentication and Authorization.

• Discuss how Identity-Aware Proxy authenticates application users.
• Describe the use of federated identity for applications in Google Cloud.
• Describe how to authenticate your application to Google Cloud APIs based on how your application is deployed.
• Use authentication and authorization to secure an application.

Adding Intelligence to Your Application.

• Describe how pretrained machine learning APIs can be called from applications.
• Differentiate the use cases for Google Cloud's pretrained machine learning APIs.
• Use a Google Cloud pretrained machine-learning API in an application.

Deploying Applications.

• Discuss the features of a continuous integration and delivery pipeline.
• Describe how to build and store application container images.
• Create a container image by using Cloud Build.

Compute Options for Your Application.

• Describe use cases for the different compute options used for running applications on Google Cloud.
• Differentiate the benefits of different compute options on Google Cloud.

Monitoring and Performance Tuning.

• Recognize the four golden signals.
• Describe benefits of the services in Google Cloud's operations suite.

Introduction to Microservices.

• Describe the differences between monolithic applications, service-oriented architecture (SOA), and microservices.
• Describe the benefits and challenges of microservice-based architectures.

Event-Driven Applications.

• List the characteristics of an event.
• Describe the advantages of event-driven applications.

Choreography and Orchestration.

• Understand how Pub/Sub and Eventarc can be used to connect services by using the choreography pattern.
• Explain the benefits of using CloudEvents for event metadata.
• Understand how Workflows can be used to orchestrate services.
• Differentiate the use cases for choreography and orchestration.
• Use Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler to coordinate a microservices application on Google Cloud.

Introduction to Cloud Functions.

• Define Cloud Functions.
• Identify the use cases, features, and benefits of Cloud Functions.
• Distinguish the types of Cloud Functions, and identify the supported languages for developing functions.
• Develop and deploy a Cloud Function using the Google Cloud console and gcloud CLI.

Calling and Connecting Cloud Functions.

• Understand the different kinds of triggers available, and learn how to specify triggers for functions.
• Connect services and functions with workflows.
• Connect functions to resources in a VPC network.

Securing Cloud Functions.

• Secure Cloud Functions with identity and network-based access controls.
• Understand function identity.
• Understand how to authenticate and authorize access to functions for invocation and administration.
• Protect functions and related data with encryption keys.

Integrating with Cloud Databases.

• Integrate Cloud Functions with cloud databases such as Firestore, and Memorystore.
• Use secrets with Cloud Functions.
• Usar variables de entorno Cloud Functions.

Best Practices.

• Use best practices when developing and implementing Cloud Functions.
• Understand how to retry event-driven Cloud Functions on failure.