Architecting with Google Cloud Platform: Design and Process

Duration:

2 Days

Course Overview:

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.

Audience:

Employees of federal, state and local governments; and businesses working with the government.

This class is perfect for:

  • 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

What You’ll 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

Outline:

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