Architecting with Google Cloud Platform: Design and Process
Course Details

Architecting with Google Cloud Platform: Design and Process

Category ID Duration Price
Google Cloud 13620 2 Day(s) $1,375.00
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This two-day instructor-led class equips you to build highly reliable and efficient solutions on Google Cloud Platform. It is a continuation of the Architecting with Google Cloud Platform: Infrastructure course and assumes hands-on experience with the technologies covered in that course. Through a combination of presentations, demos, and hands-on labs, you will learn to design GCP deployments that are highly reliable and secure as well as how to operate GCP deployments in a highly available and cost-effective manner.


· Design for high availability, scalability, and maintainability
· Assess tradeoffs and make sound choices among Google Cloud Platform products
· Integrate on-premises and cloud resources
· Identify ways to optimize resources and minimize cost
· Implement processes that minimize downtime, such as monitoring and alarming, unit and integration testing, production resilience testing, and incident post-mortem analysis
· Implement policies that minimize security risks, such as auditing, separation of duties and least privilege
· Implement technologies and processes that assure business continuity in the event of a disaster


· Completion of Architecting with Google Cloud Platform: Infrastructure (#5973) or have equivalent experience
· Basic proficiency with command-line tools and Linux operating system environments
· Systems operations experience including deploying and managing applications, either on-premises or in a public cloud environment
Who should attend:
This class is intended for the following participants:

Cloud Solutions Architects, Site Reliability Engineers, 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


Module 1: Introduction to Google Cloud Platform
· Role of the Cloud Architect
· Learn about Solution Domains as an approach to design
· Lab: Console and Cloudshell
· Lab: Projects
· Lab: Infrastructure Preview
Module 2: Virtual Networks
· Cloud Virtual Networks (CVN), Projects, Networks, Subnetworks, IP addresses, Routes, Firewall rules
· Subnetworks for resource management instead of physical network topology
· Lab: Virtual Networking
· Lab: Bastion Host
Module 3: Virtual Machines
· GCE, tags, VM options, vCPUs, disk options, images, and special features of persistent disks for VMs
· Lab: Creating Virtual Machines
· Lab: Working with Virtual Machines
Module 4: Cloud IAM
· Members, roles, organizations, account administration, service accounts
· Lab: Cloud IAM
Module 5: Data Storage Services
· Cloud Storage, Datastore, Bigtable, Cloud SQL
· Lab: Cloud Storage
· Lab: Cloud SQL
· Lab: Cloud Datastore
Module 6: Resource Management
· Billing, Quotas, Labels, Names, Cloud Resource Manager
· Lab: Billing Administration
· Lab: Examining Billing Data and BigQuery
Module 7: Resource Monitoring
· Stackdriver, Monitoring, Logging, Error Reporting, Tracing, Debugging
· Lab: Resource Monitoring (Stackdriver)
· Lab: Error Reporting and Debugging (Stackdriver)
Module 8: Interconnecting Networks
· VPNs, Cloud Router, Cloud Interconnect, Direct Peering, Cloud DNS
· Lab: Virtual Private Networks (VPN)
· Lab: Dynamic VPN with Cloud Routers
Module 9: Load Balancing
· Network Load Balancing, HTTP(S) Load Balancing, SSL Load Balancing and Internal Load Balancing, Managed Instance Groups
· Lab: VM Automation and Load Balancing
Module 10: Autoscaling
· Autoscaler
· Lab: Autoscaling
Module 11: Infrastructure Automation with Cloud API
· Infrastructure automation, custom images, startup and shutdown scripts and metadata
· Lab: Cloud API Infrastructure Automation
Module 12: Infrastructure Automation with Deployment Manager
· Deployment Manager templates
· Lab: Deployment Manager
Module 13: Managed Services
· Dataproc, Dataflow, BigQuery, Datalab
Module 14: Application Development Infrastructure
· Cloud Pub/Sub, Cloud Endpoints and Apigee, Cloud Functions
Module 15: Application Development Services
· Google App Engine (GAE), Dev Tools, Cloud Source Repos.
· Lab: App Engine Development
Module 16: Containers
· Containers, Google Container Engine (GKE), and Container Registry.
· Lab: Kubernetes Load Balancing

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