Architecting with Google Cloud: Design and Process

This two-day instructor-led class equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine course and assumes hands-on experience with the technologies covered in either of those courses.

Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.


This course teaches participants the following skills:

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 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 Google Cloud tools

Cloud computing

Disponible en formato e-learning

Disponible en formato presencial

Disponible en formato a distancia

Subvención disponible
A través de Fundae, cumpliendo requisitos.

10 horas

  • Dificultad 50% 50%
  • Nivel alcanzado 80% 80%

Dirigido a

This class is intended for the following participants:

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

Conocimientos requeridos

To get the most out of this course, participants should have:

Completed Architecting with Google Compute Engine, Architecting with Google Kubernetes, or have equivalent experience

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


Module 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
Module 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
Module 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
Module 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
Module 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
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)
Create serverless applications using Cloud Functions
Module 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
Module 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
Module 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

Solicita información del curso

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