Architecting with Google Cloud Platform: Design and Process
(2 days) This two-day instructor-led class equips students to build highly reliable and efficient solutions on Google Cloud Platform, using proven design patterns and the principles of Google Site Reliability Engineering (SRE). 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, participants 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. A personal laptop is required for all workshops and will not be provided.
ObjectivesThis course teaches participants the following skills:
- 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
AudienceThis class is intended for the following participants:
- 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
PrerequisitesTo get the most out of this course, participants should have:
- Completed Architecting with Google Cloud Platform: Infrastructure or 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
Course 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 Network 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 Scalability, Resiliency, 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 life-cycle management
- Scalable and resilient design
Module 6: Design for Security
- Google Cloud Platform security
- Network access control and firewalls
- Protections against denial of service
- Data encryption and key management
- Resource sharing and isolation
- Identity access and auditing
Module 7: Cost Optimization and Capacity Planning
- Capacity Planning
- Pricing
Module 8: Deployment, Monitoring and Alerting, and Incident Response
- Deployment
- Monitoring and alerting
- Incident response
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21/07/2018
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