Architecting with Google Cloud Design and Process («GCPIDP»)

• Applying a tool set of questions, techniques and design considerations
• Defining application requirements and express them objectively as KPIs, SLOs and SLIs
• Decomposing application requirements to find the right microservice boundaries
• Leveraging Google Cloud developer tools to set up modern, automated deployment pipelines
• Choosing the appropriate Google Cloud Storage services based on application requirements
• Discussing Google Cloud network architectures, including hybrid architectures
• Implementing reliable, scalable, resilient applications balancing key performance metrics with cost
• Choosing the right Google Cloud deployment services for your applications
• Securing cloud applications, data and infrastructure
• Monitoring service level objectives and costs using Cloud Monitoring

This course was created for those who have already completed the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine course.

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

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

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

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

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

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)

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

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

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

This course features a combination of lectures, design activities, and hands-on labs.

• 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

• 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

We also recommend attending the following courses or equivalent experience:

Products

• App Engine
• Cloud Functions
• IAM
• Cloud Load Balancing
• Compute Engine
• Cloud Build
• Container Registry
• VPC Networking

Not covered

• Tips and advice on taking the Professional Cloud Architect exam