Architecting with Google Compute Engine (GCE)

Experienced developers who are responsible for managing big data transformations including:

• Cloud Solutions Architects, Systems Operations professionals, DevOps Engineers, IT managers.
• Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform

In this course you will learn:

• Consider the entire range of Google Cloud Platform technologies in their plans
• Learn methods to develop, implement, and deploy solutions
• Distinguish between features of similar or related products and technologies
• Recognize a wide variety of solution domains, use cases, and applications
• Develop essential skills for managing and administering solutions
• Develop knowledge of solution patterns

1. Introduction to Google Cloud Platform

• Role of the Cloud Architect
• Learn about Solution Domains as an approach to design

2. Virtual Networks

• Cloud Virtual Networks (CVN), Projects, Networks, Subnetworks, IP addresses, Routes, Firewall rules
• Subnetworks for resource management instead of physical network topology

3. Virtual Machines

• GCE, tags, VM options, vCPUs, disk options, images, and special features of persistent disks for VMs

4. Cloud IAM

• Members, roles, organizations, account administration, and service accounts

5. Resource Management

• Billing, Quotas, Labels, Names, and Cloud Resource Manager

6. Data Services

• Cloud Storage, Datastore, Bigtable, and Cloud SQL

7. Interconnecting Networks

• VPNs, Cloud Router, Cloud Interconnect, Direct Peering, and Cloud DNS

8. Infrastructure Automation

• Infrastructure automation, custom images, startup and shutdown scripts and metadata, Deployment Manager, and Cloud Launcher

9. Autoscaling

• Load Balancing, Instance Groups, and Autoscaler.

10. Resource Monitoring

• Stackdriver, Monitoring, Logging, Error Reporting, Tracing, and Debugging

11. Containers

• Containers, Google Container Engine (GKE), and Container Registry

12. Platform Security

• Learn about Google's layered security strategy that uses a multi-faceted approach to provide platform security services and benefits

13. Managed Services

• Dataproc, Dataflow, BigQuery, and Datalab

14. Application Development Infrastructure

• GAE, Cloud SDK, Dev Tools, Cloud Source Repos, Cloud Pub/Sub, Cloud Endpoints, and APIgee, Cloud Functions

• Have completed Google Cloud Platform Fundamentals or have equivalent experience
• Basic proficiency with command-line tools and Linux operating system environments
• Have systems operations experience including deploying and managing applications, either on-premises or in a public cloud environment