Learn how to leverage Google Cloud Platform, including serverless, data storage, and data pipeline services, to meet the needs of your enterprise organization.
Google Cloud Platform for Enterprise Essential Training (2019)
Overview
Syllabus
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
Taught by
Lynn Langit
