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Description

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Overview:

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.

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

Audience:

  • Cloud Solutions Architects, Site Reliability Engineers, Systems Operations professionals, DevOps Engineers, IT managers
  • Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with Google Cloud

Outline:

Module 1: 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

Module 2: 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

Module 3: 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

Module 4: 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

Module 5: 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

Module 6: 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)

Module 7: 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

Module 8: 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

Module 9: 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 Alerts

Additional information

Length

2 days

Guaranteed to run

No