GCP-DEVA: Developing Applications with Google Cloud

Module 01: 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

Module 02: 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

Module 03: 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

Module 04: 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

Module 05: 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

Module 06: 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

Module 07: 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

Module 08: 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

Module 09: 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

Module 10: 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

Module 11: 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

Module 12: 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

Module 13: 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

Module 14: 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

Module 15: 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

Module 16: 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