Architecting with Google Cloud Design and Process

This course features a combination of lectures, design activities, and hands-on labs to show you how to use proven design patterns on Google Cloud to build highly reliable and efficient solutions and operate deployments that are highly available and cost-effective. This course was created for those who have already completed the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine course.

Architecting with Google Cloud Design and Process Benefits

• This course will empower you to:

  • Apply a tool set of questions, techniques and design considerations.
  • Define application requirements and express them objectively as KPIs, SLO's and SLI's.
  • Decompose application requirements to find the right microservice boundaries.
  • Leverage Google Cloud developer tools to set up modern, automated deployment pipelines.
  • Choose the appropriate Google Cloud Storage services based on application requirements.
  • Discuss Google Cloud network architectures, including hybrid architectures.
  • Implement reliable, scalable, resilient applications balancing key performance metrics with cost.
  • Choose the right Google Cloud deployment services for your applications.
  • Secure cloud applications, data and infrastructure.
  • Monitor service level objectives and costs using Cloud Monitoring.

• Prerequisites

  • Have completed Architecting with Google Compute Engine, Architecting with Google Kubernetes Engine, or have equivalent experience
  • Have basic proficiency with command-line tools and Linux operating system environments
  • Have systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment

Architecting with Google Cloud Design and Process Course Outline

Learning Objectives

Defining the Service

• Describe users in terms of roles and personas

• Evaluate KPIs using SLOs and SLIs

• Determine the quality of application requirements using SMART criteria

Microservice Design and Architecture

• Decompose monolithic applications into microservices

• Recognize appropriate microservice boundaries

• Design consistent, standard RESTful service APIs

• Identify the 12-factor best practices for implementing services

DevOps Automation

• Discuss the automation of service deployment using CI/CD pipelines

• Explain how to leverage Cloud Source Repositories for source and version control

• Automate builds with Cloud Build and build triggers

• Manage container images with Container Registry

Choosing Storage Solutions

• Identify the use cases for Spanner

• Identify the use cases for Cloud SQL

• Identify the use cases for Firestore

• Identify the use cases for Memorystore

Google Cloud and Hybrid Network Architecture

• Discuss the design of VPC networks to optimize for cost, security, and performance

• Describe how global and regional load balancers provide access to services

• Connect networks using peering and VPNs

• Define hybrid networks between Google Cloud and on-premises data centers using Cloud Interconnect

Deploying Applications to Google Cloud

• Choose the appropriate Google Cloud deployment service for your applications

• Configure scalable, resilient infrastructure using Instance Templates and Groups

• Orchestrate microservice deployments using Kubernetes and GKE

• Leverage App Engine for a completely automated platform as a service (PaaS)

Designing Reliable Systems

• Discuss the design of services to meet requirements for availability, durability, and scalability

• Identify the failures to be avoided to implement a fault-tolerant system

Security

• Identify the best practices for designing secure systems

• Discuss the use of organizational policies and folders to simplify cloud governance

 • Identify Google Cloud services that can be leveraged for access management

• Identify Google Cloud services that can be leveraged to mitigate DDoS attacks

Maintenance and Monitoring

 • Discuss different ways to manage new service versions

• Describe how to forecast, monitor, and optimize service costs

• Observe if your services are meeting their SLOs using Cloud Monitoring and Dashboards

• Use Uptime Checks to determine service availability

• Respond to service outages using Cloud Monitoring Alert