Overview
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Learn how to leverage Google Cloud Platform, including serverless, data storage, and data pipeline services, to meet the needs of your enterprise organization.
Syllabus
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Introduction
- Enterprise-ready GCP
- What you should know
- Work with cloud services
- Is GCP enterprise-ready?
- Enterprise concerns: Availability and reliability
- Enterprise concerns: Security and cost
- Enterprise concern: Services and partners
- Core enterprise scenarios
- Enterprise scenarios
- Select your authorization domain
- Set up your organizational account
- Use resource hierarchy for access control
- Manage organizational billing
- GCP tool selection: Console or command line
- Set up hybrid connectivity
- Set up a VPC network
- Patterns for cloud enterprise applications
- Scenario: Lift and shift
- Migrate VMs to GCE
- GCE instance management
- GCE instance groups
- Scenario: New internal applications
- Serverless with Cloud Functions and Cloud Run
- Kubernetes abstraction level
- Anthos Migrate and Config Management
- Container-based with Cloud Run on GKE
- Scenario: Disaster recovery
- Cloud KMS and encryption
- Cloud SQL
- Cloud Spanner
- Scenario: Data warehouse
- BigQuery: Enterprise features
- BigQuery: Machine learning
- Google Dataprep
- Google Data Fusion
- Scenarios: Serverless data lakes and pipelines
- Scenario: IoT application
- Cloud IoT Core
- Cloud Bigtable
- Scenario: Event data pipelines
- Google Dataproc
- Google Dataflow
- Google Composer
- Scenario: Genomics data pipelines
- Google Life Sciences API and BigQuery
- Cloud-native CI/CD
- Deployments, GCP Marketplace, and templates
- Private Catalog and Container Registry
- Cloud Source Repositories
- Cloud Build
- CI/CD pipeline walkthrough, Part 1: Cloud Source Repositories
- CI/CD pipeline walkthrough, Part 2: Cloud Build
- Next steps for enterprise users
