Cloud architecture: design, IaC and governance from the first resource

What is Cloud infrastructure and architecture?

Cloud infrastructure is not improvised: it is designed. A well-planned architecture defines how networks are organized, how identity and access are managed, how security and governance policies are enforced, how resources are deployed in a repeatable way, and how they scale when the business needs it. At Q2BSTUDIO we design and deploy cloud architectures in Microsoft Azure and Amazon Web Services following best practices of the Cloud Adoption Framework and Well-Architected Framework.

Design starts with understanding the requirements: what applications will run, what traffic patterns they have, what isolation and security needs exist, what regulations apply, and what the infrastructure budget is. On that basis, we defined the network topology (VNets/VPCs, subnets, segmentation, peering), the identity strategy (Azure AD, IAM, roles, policies), the subscriptions or accounts model, the naming convention and the tagging for cost governance.

The entire infrastructure is defined as code with Terraform: every resource, every configuration, and every policy is versioned in Git. This allows you to create repeatable environments (dev, staging, production), audit changes, roll back, and share configuration with the team without ambiguity. Changes are applied through CI/CD pipelines that validate, plan, and execute modifications in an automated manner.

We deploy resources according to the most appropriate pattern: virtual machines for loads that require it, containers with Docker and managed Kubernetes (AKS, EKS) for modern applications, serverless functions for event-driven loads, managed databases with high availability, object storage, message queues and CDN for static content distribution.

Security is applied at all layers: Network Security Groups, firewalls, WAF, encryption in transit and at rest, secrets management with Key Vault or Secrets Manager, Azure Policy or AWS Config policies, and access auditing. We apply the principle of least privilege and review configurations with security posture tools.

Scaling is configured with autoscaling groups, Kubernetes HPA, Azure Scale Sets, or AWS Auto Scaling depending on the workload. The objective is for resources to adapt to real demand without oversizing or falling short in peaks.

We deliver architecture documentation with diagrams, design decisions, operation guidance and runbooks for common scenarios. The customer's team receives training and documented access to the current state of the infrastructure.

If the organization already has cloud infrastructure and needs to optimize, reorganize or document it, we carry out an assessment and propose improvements without forcing an unnecessary reconstruction.

The cost of the infrastructure is estimated during design and reviewed periodically with FinOps practices: right-sizing, reservations, scheduled scaling, and tagging by project so that each team understands the impact of their technical decisions on the cloud bill.

Integration with the development cycle is key: the infrastructure does not live in isolation from the code, but is deployed, tested, and validated to the same quality standards as the application.