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LinkedIn Learning

Google Cloud Platform for Enterprise Essential Training (2019)

via LinkedIn Learning


Learn how to leverage Google Cloud Platform, including serverless, data storage, and data pipeline services, to meet the needs of your enterprise organization.

Is Google Cloud Platform (GCP) the right choice for your enterprise application? GCP now has the enterprise-level features large organizations demand: IAM security, custom encryption, NoSQL database support, and cloud-native continuous integration and deployment. This course helps enterprise architects, network admins, and technology stakeholders evaluate and implement GCP services for their organizations. Learn how GCP addresses enterprise concerns—from reliability to partner integration—and discover the scenarios where it shines, including data warehousing and disaster recovery. See how GCP solutions—serverless computing, data storage, and data pipelines—map to these different scenarios, and explore the developer and DevOps tools that Google provides for building your own custom solutions. Along the way, instructor Lynn Langit shows how to use GCP to manage virtual machines, Docker containers, Kubernetes clusters, relational data stores, NoSQL data, data lakes, and more. She also shares practical tips for saving money, planning deployments, and integrating compatible services.


  • Enterprise-ready GCP
  • What you should know
  • Working with cloud services
1. GCP for the Enterprise
  • Is GCP enterpriser-ready?
  • Enterprise concerns: Availability, reliability
  • Enterprise concerns: Security, cost
  • Enterprise concerns: Services, partners
  • Core enterprise scenarios
  • Enterprise scenarios
2. Enterprise Setup and Security
  • Select your authorization domain
  • Set up your organizational account
  • Use resource hierarchy for access control
  • Managing organizational billing
  • GCP tool selection: Console or command line
  • Set up hybrid connectivity
  • Set up VPC network
  • Patterns for cloud enterprise applications
3. Enterprise Compute
  • Scenario: Lift and shift
  • Migrating VMs to GCE
  • GCE instance management
  • GCE instance groups and Velostrata
  • Anthos Migrate and Config Management
  • Scenario: New internal applications
  • Serverless with Cloud Functions and Cloud Run
  • Kubernetes abstraction level
  • Container-based with Cloud Run on GKE
4. Enterprise Storage and Database
  • Scenario: Disaster recovery
  • Cloud KMS and encryption
  • Cloud SQL
  • Cloud Spanner
  • Scenario: Data warehouse
  • BigQuery: Enterprise features
  • BigQuery: Machine learning
  • Cloud Dataprep
  • Cloud Data Fusion
5. Enterprise Data Pipelines
  • Scenarios: Serverless data lakes and pipelines
  • Scenario: IoT application
  • Cloud IoT Core
  • Cloud Bigtable
  • Scenario: Event data pipelines
  • Cloud Dataproc
  • Cloud Dataflow
  • Cloud Composer
  • Scenario: Genomics data pipelines
  • Google Genomics API and BigQuery
6. Dev and DevOps Tools
  • 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
  • StackDriver Debugger and logpoints
  • Next steps

Taught by

Lynn Langit

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