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

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.