Leveraging Google Cloud Developer and DevOps Tools
1h 34mIntermediate2022-09-12
Authors
Lynn Langit
Cloud Architect
Course details
With so many services to choose from on the Google Cloud Platform (GCP), how do you know which services are best for you, or which tools will best meet your needs? In this course, instructor Lynn Lingit shows you some of the most commonly used tools available on the GCP, along with the skills you need to know to leverage tools that fit your unique role, your organization, and your workflow.
Discover the ins and outs of using GCP tools for application users, data scientists, DevOps pros, and developers, as Lynn walks you through how to perform basic tasks with key GCP services, files, APIs, Google Colab, notebooks, deployments, security, monitoring, and more. Along the way, get tips on interacting with blogs and developer communities to continue your GCP journey.
Discover the ins and outs of using GCP tools for application users, data scientists, DevOps pros, and developers, as Lynn walks you through how to perform basic tasks with key GCP services, files, APIs, Google Colab, notebooks, deployments, security, monitoring, and more. Along the way, get tips on interacting with blogs and developer communities to continue your GCP journey.
Skills covered
Google Cloud PlatformCloud DevelopmentDevOps FoundationsDevOpsSoftware Development ToolsGoogleFoundationsCloud PlatformsCloud ComputingSoftware Development
Concepts
0. Introduction
- 01 - State of Google Cloud tools
- 02 - Who should watch this course
- 03 - A note about working with cloud services
1. Tools for Application Users
- 04 - Google Console for learners
- 05 - User authentication and authorization
- 06 - GCP services and menus
- 07 - Key Google Cloud services - Compute
- 08 - Key Google Cloud services - Files and data
- 09 - Key Google Cloud services - IAM and more
2. Tools for Data Scientists
- 10 - Enable APIs for DLVMs
- 11 - Using Google Cloud or SDK with terminal
- 12 - Using Google Colab notebooks
- 13 - Using Google-managed Notebooks
- 14 - Using BigQuery ML
3. Tools for DevOps
- 15 - Using Google Cloud scripts with Cloud Shell for storage
- 16 - Deploying a VM with Google Cloud script
- 17 - Running GCP Deployments
- 18 - Monitoring GCP with Cloud Logging
- 19 - Monitoring GCP Security with SCC
- 20 - Designing GCP Solutions with Architecture Diagramming
4. Tools for Developers
- 21 - Coding with the GCP local Google Cloud SDK
- 22 - Coding with the GCP add-in for VSCode
- 23 - Storing code in Cloud Source Repositories
- 24 - Storing artifacts in GCR or Artifact Registry
- 25 - Storing secrets in Secrets Manager
- 26 - Implementing CI CD with Cloud Build
Conclusion
- 27 - Next steps with Google Cloud Developer and DevOps Tools