Course outline
Learn to design GCP deployments |
Duration : 2 days |
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 | • 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 |
Prerequisites | • Completion of Architecting with Google Cloud Platform: Infrastructure 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 |
Objectives | • 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 |
Contents | Defining the service • Design in this class • State and solution • Measurement • Gathering requirements, SLOs, SLAs, and SLIs (key performance indicators) |
Business-logic layer design • Microservices architecture • GCP 12-factor support • Mapping compute needs to Google Cloud Platform processing services • Compute system provisioning | |
Data layer design • Classifying and characterizing data • Data ingest and data migration • Identification of storage needs and mapping to Google Cloud Platform storage systems | |
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 multicloud | |
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 | |
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 | |
Capacity planning and cost optimization • Capacity planning • Pricing | |
Deployment, monitoring and alerting, and incident response • Deployment • Monitoring and alerting • Incident response | |
