Developing Applications with Google Cloud

Products

• Cloud Run, Cloud Functions, Google Kubernetes Engine, Compute Engine
• Cloud Storage, Firestore, Bigtable, Cloud SQL, AlloyDB, Spanner, BigQuery, Memorystore
• Firebase Authentication, Identity Platform, Identity-Aware Proxy, Secret Manager
• Cloud Build, Artifact Registry
• Google Cloud's operations suite
• Workflows, Eventarc, Cloud Tasks, Cloud Scheduler, Pub/Sub

Best Practices for Cloud Application Development

This module introduces best practices for developing applications that run in the cloud.

• 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

This module introduces the various Google Cloud tools you will use to develop your applications.

• 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

This module compares the data storage and database services provided by Google Cloud.

• 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

This module explains how authentication and authorization are added to your cloud applications.

• 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

This module discusses how pretrained machine learning APIs and generative AI can improve your cloud applications.

• 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

This module discusses how to build and deploy applications on Google Cloud.

• 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

This module discusses the compute options available for running your applications in Google Cloud.

• 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

This module discusses the application use cases of the services in Google Cloud's operations suite.

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

Introduction to Microservices

This module introduces you to microservices and discusses the benefits and challenges of using a microservices architecture for your applications.

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

Event-Driven Applications

This module introduces events and event-driven applications and discusses the benefits of choosing an event-driven architecture for your microservices applications.

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

Choreography and Orchestration

This module introduces two effective patterns for inter-service communication: choreography and orchestration. Eventarc uses the choreography pattern, which allows independent services to perform tasks when events are received. Workflows uses orchestration, and acts as a central orchestrator of the interactions between the services. You learn how Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler can be used to build powerful microservices applications on Google Cloud.

• 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

An introduction to Cloud Functions Benefits and use cases Types of Cloud Functions and language runtimes

• 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

Cloud Functions triggers 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

Accessing and authenticating to functions Protecting functions and data

• 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 Use secrets with Cloud Functions

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

Best Practices

Cloud Functions best practices

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