Architecting with Google Cloud: Design and Process is an instructor-led program that teaches teams how to design and build reliable, secure, and scalable solutions on Google Cloud, the same curriculum Google now publishes as Reliable Google Cloud Infrastructure: Design and Process. Your engineers learn a repeatable design process: capture requirements, choose the right compute, storage, and networking services, and make deliberate trade-offs across cost, performance, and resilience.
As organizations move business-critical workloads to Google Cloud, this program helps your teams design solutions that stay reliable and cost-efficient under real production load. Empower your people with expert-led on-site, off-site, and virtual sessions delivered by Edstellar, a premier corporate training provider serving organizations worldwide. Built around your goals, the program turns Google Cloud architecture skills into lasting capabilities that lift performance across your engineering, platform, and operations teams.
The payoff is measurable: fewer outages from better reliability design, lower cloud spend from right-sized services, and faster delivery from standardized architecture patterns. Teams leave able to defend design decisions to stakeholders and to prepare for the Google Cloud Professional Cloud Architect credential, giving your organization in-house architecture authority instead of recurring consulting bills.

- Translate business and technical requirements into a clear Google Cloud solution design.
- Select and combine the right compute options, from Compute Engine to containers and managed services.
- Choose appropriate storage and database services and balance cost, latency, and durability.
- Design hybrid and Google Cloud network architectures that are secure and performant.
- Build reliability into systems through redundancy, scaling, and failure-recovery design.
- Apply security, monitoring, and maintenance practices that keep production workloads healthy.
- Defining the Service
- Capturing functional and non-functional requirements
- Identifying users, use cases, and service-level objectives
- Microservices vs monolith trade-offs for the workload
- Mapping requirements to Google Cloud building blocks
- Microservice Design and Architecture
- Decomposing applications into well-bounded services
- Twelve-factor and stateless design principles
- Inter-service communication and API design
- Managing configuration, state, and service discovery
- DevOps Automation
- CI/CD pipelines on Google Cloud
- Infrastructure as code and repeatable environments
- Automated build, test, and deployment workflows
- Release strategies: rolling, blue-green, and canary
- Choosing Storage Solutions
- Matching data types to Cloud Storage, Filestore, and persistent disks
- Selecting databases: Cloud SQL, Spanner, Firestore, Bigtable
- Balancing cost, consistency, latency, and durability
- Data lifecycle, tiering, and retention design
- Google Cloud and Hybrid Network Architecture
- VPC design, subnets, and IP planning
- Load balancing and traffic management options
- Hybrid connectivity with Cloud VPN and Interconnect
- Network security, firewalls, and private access
- Deploying Applications to Google Cloud
- Choosing between Compute Engine, GKE, App Engine, and Cloud Run
- Containerization and managed Kubernetes patterns
- Autoscaling and capacity planning
- Deployment automation and rollback safety
- Designing Reliable Systems
- Defining SLOs, SLIs, and error budgets
- Redundancy, failover, and multi-region design
- Graceful degradation and overload handling
- Disaster recovery and backup strategy
- Security
- Identity, IAM roles, and least-privilege design
- Data protection, encryption, and key management
- Network and perimeter security controls
- Compliance and audit-ready architecture
- Maintenance and Monitoring
- Cloud Monitoring, Logging, and observability design
- Alerting, dashboards, and incident response
- Cost monitoring and optimization
- Ongoing maintenance and capacity reviews
- Cloud Architects
- Solution Architects
- Infrastructure Engineers
- Cloud Solutions Engineers
- DevOps Engineers
- Cloud Infrastructure Specialists
- Enterprise Architects
- IT Engineers
- System Architects
- Software Architects
- Platform Engineers
- Managers
Participants should be comfortable with basic Google Cloud concepts and have hands-on experience deploying applications or managing cloud infrastructure, equivalent to completing Google Cloud Fundamentals. Familiarity with systems design, networking basics, and at least one programming or scripting language helps teams get the most from the design exercises, though Edstellar tailors depth and pace to your group's starting level.
64 hours of group training (includes VILT/In-person On-site)
Tailored for SMBs
160 hours of group training (includes VILT/In-person On-site)
Ideal for growing SMBs
Tailor-Made Trainee Licenses with Our Exclusive Training Packages!
400 hours of group training (includes VILT/In-person On-site)
Designed for large corporations
Tailor-Made Trainee Licenses with Our Exclusive Training Packages!
Unlimited duration
Designed for large corporations
Experienced Trainers
Our trainers are drawn from a vetted global network and bring years of industry expertise, keeping every session practical and impactful.
Proven Quality
With a strong global track record, Edstellar is known for quality and engaging delivery.
Industry-Relevant Curriculum
Our programs are built by experts to match the demands of today's industry.
Fully Customizable
Every program can be tailored to your organization's goals.
Comprehensive Support
We provide pre- and post-session support for a complete learning experience.
Global Multi-Location & Multilingual Training Delivery
We deliver in multiple languages to support diverse global teams.
Hear from Organizations We've Trained
Recognition That Motivates Your Team






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