Architecting with Google Cloud: Design and Process

This course is recommended to anyone looking to create new solutions or to integrate existing systems, application environments, and infrastructure with Google Cloud:

• Cloud solutions architects
• Systems operations professionals
• DevOps engineers
• IT managers

 

After this course participants should be able to:

• Apply a tool set of questions, techniques and design considerations.
• Define application requirements and express them objectively as KPIs, SLOs and SLIs.
• 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. 

Module 1: Defining the expected 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: Microservices 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.
• Cloud SQL.
• Firestore.
• 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.
  
  

• Have completed Architecting with Google Compute Engine (GO5973), Architecting with Google Kubernetes Engine (GO6594), 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. 

This course is part of the Learning Paths towards Associate Cloud Engineer and Professional Cloud Architect certification.

Depends on the profile of the participants.

• Official course book provided to participants.