Architecting with Google Cloud Platform: Design and Process (GO5974)

Learn to design GCP deployments.
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; and how to operate GCP deployments in a highly available and cost-effective manner.
 
Target Audience
  • 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
 
Objectives
In this course you will learn:
  • 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
 
Prerequisites
  • Have completed 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
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Content
Module 1: Defining the Service
  • Design in this class.
  • State and solution.
  • Measurement.
  • Gathering requirements, SLOs, SLAs, and SLIs (key performance indicators).
 
Module 2: Business-logic layer design
  • Microservices architecture.
  • GCP 12-factor support.
  • Mapping compute needs to Google Cloud Platform processing services.
  • Compute system provisioning.
 
Module 3: Data layer design
  • Classifying and characterizing data.
  • Data ingest and data migration.
  • Identification of storage needs and mapping to Google Cloud Platform storage systems.
 
Module 4: Presentation layer design
  • Network edge configuration.
  • Network configuration for data transfer within the service, including load balancing and network location.
  • Network integration with other environments, including on premise and multi-cloud.
 
Module 5: Design for resiliency, scalability, and disaster recovery
  • Failure due to loss of resources.
  • Failure due to overload.
  • Strategies for coping with failure.
  • Business continuity and disaster recovery, including restore strategy and data lifecycle management.
  • Scalable and resilient design.
 
Module 6: Design for security
  • Google Cloud Platform security.
  • Network access control and firewalls.
  • Protections against denial of service.
  • Resource sharing and isolation.
  • Data encryption and key management.
  • Identity access and auditing.
 
Module 7: Capacity planning and cost optimization
  • Capacity planning.
  • Pricing.
 
Module 8: Deployment, monitoring and alerting, and incident response
  • Deployment.
  • Monitoring and alerting.
  • Incident response.