Architecting with Google Cloud: Design and Process

Retail Price: $1,400

2 Days

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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.

Learning Objectives

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
  • Architect cloud and hybrid networks
  • 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 Stackdriver tools

Course Details

Course Outline

1 - Defining the Service
  • Describe users in terms of roles and personas.
  • Write qualitative requirements with user stories.
  • Write quantitative requirements using key performance indicators (KPIs).
  • 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.
  • Architect stateful and stateless services to optimize scalability and reliability.
  • Implement services using 12-factor best practices.
  • Build loosely coupled services by implementing a well-designed REST architecture.
  • Design consistent, standard RESTful service APIs.
    • 3 - DevOps Automation
  • Automate service deployment using CI/CD pipelines.
  • Leverage Cloud Source Repositories for source and version control.
  • Automate builds with Cloud Build and build triggers.
  • Manage container images with Google Container Registry.
  • Create infrastructure with code using Deployment Manager and Terraform.
    • 4 - Choosing Storage Solutions
  • Choose the appropriate Google Cloud data storage service based on use case, durability, availability, scalability and cost.
  • Store binary data with Cloud Storage.
  • Store relational data using Cloud SQL and Spanner.
  • Store NoSQL data using Firestore and Cloud Bigtable.
  • Cache data for fast access using Memorystore.
  • Build a data warehouse using BigQuery.
    • 5 - Google Cloud and Hybrid Network Architecture
  • Design VPC networks to optimize for cost, security, and performance.
  • Configure global and regional load balancers to provide access to services.
  • Leverage Cloud CDN to provide lower latency and decrease network egress.
  • Evaluate network architecture using the Cloud Network Intelligence Center.
  • Connect networks using peering and VPNs.
  • Create 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).
  • Create serverless applications using Cloud Functions.
    • 7 - Designing Reliable Systems
  • Design services to meet requirements for availability, durability, and scalability.
  • Implement fault-tolerant systems by avoiding single points of failure, correlated failures, and cascading failures.
  • Avoid overload failures with the circuit breaker and truncated exponential backoff design patterns.
  • Design resilient data storage with lazy deletion.
  • Analyze disaster scenarios and plan for disaster recovery using cost/risk analysis.
    • 8 - Security
  • Design secure systems using best practices like separation of concerns, principle of least privilege, and regular audits.
  • Leverage Cloud Security Command Center to help identify vulnerabilities.
  • Simplify cloud governance using organizational policies and folders.
  • Secure people using IAM roles, Identity-Aware Proxy, and Identity Platform.
  • Manage the access and authorization of resources by machines and processes using service accounts.
  • Secure networks with private IPs, firewalls, and Private Google Access.
  • Mitigate DDoS attacks by leveraging Cloud DNS and Cloud Armor.
    • 9 - Maintenance and Monitoring
  • Manage new service versions using rolling updates, blue/green deployments, and canary releases.
  • Forecast, monitor, and optimize service cost using the Google Cloud pricing calculator and billing reports and by analyzing billing data.
  • Observe whether 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.

    • Actual course outline may vary depending on offering center. Contact your sales representative for more information.