In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to create repeatable deployments by treating infrastructure as code, choose the appropriate application execution environment for an application, and monitor application performance. Completing one version of each lab is required. Each lab is available in Node.js. In most cases, the same labs are also provided in Python or Java. You may complete each lab in whichever language you prefer.
Overview
Syllabus
- Course Introduction
- Course 3 Intro
- Course Information
- Deploying Applications
- Deploying Applications Using Cloud Build, Container Registry, and Terraform
- Why use containers for deployment?
- Build Pipelines with Cloud Build and Terraform
- Lab Overview
- App Dev - Deploying the Application into Kubernetes Engine: Node.js
- App Dev - Deploying the Application into Kubernetes Engine: Java
- App Dev - Deploying the Application into Kubernetes Engine: Python
- Practice Quiz: Deploying Applications
- Final Quiz: Deploying Applications
- Summary
- Compute Options for Your Application
- Compute Options for Your Application
- Compute Engine
- Google Kubernetes Engine
- Cloud Run
- Cloud Functions
- Comparisons
- Practice Quiz: Execution Environments for Your Application
- Final Quiz: Execution Environments for Your Application
- Summary
- Monitoring and Performance Tuning
- Google Cloud's Operations Suite - a Multi-Cloud Service
- Debugging Your Application
- Logging
- Monitoring and Tuning Performance
- Identifying and Troubleshooting Performance Issues
- Lab Overview
- App Dev - Harnessing Cloud Trace and Cloud Monitoring: Node.js
- Practice Quiz: Debugging, Monitoring, and Performance Tuning
- Final Quiz: Debugging, Monitoring, and Performance Tuning
- Summary
- Wrap Up
- Course Recap
- Course Resources
- Course Resources
- Your Next Steps
- Course Badge
