CredAluga: Azure to AWS Migration with ~55% Cost Reduction

CredAluga is a Brazilian real estate startup that connects tenants, landlords, and agents through partnerships with local real estate agencies (B2B2C model). Combining technology and credit intelligence, the company simplifies the rental journey and has been expanding its operations nationwide.

Before the project, operations ran on Microsoft Azure. As the user base grew, the effects of a fragmented architecture began to impact business results: unpredictable costs (including SQL Server licensing pressure), limited automation, fragile governance across Dev, Staging, and Prod, and signs that the security posture and scale needed to mature.

Without structured FinOps and without visibility by product/team, portfolio management depended on perceptions — which complicated roadmap decisions and cash planning. Meanwhile, the company needed to segment access more rigorously and prepare the platform for peaks without turning each month into a budget surprise.

As an AWS Advanced partner, Elevata began with a deep technical analysis — for a simple and business-driven reason: understand where CredAluga was, where it wanted to go, and which path would balance risk, timeline, and budget. This diagnostic mapped dependencies, bottlenecks, and goals (financial predictability, security, scale, and release cadence). From there, we designed an Azure-to-AWS migration plan driven by business impact, without unnecessarily "reinventing the wheel."

The migration prioritized clarity and control. The foundation was organized with separate accounts by function, segmented VPCs, IAM with least-privilege profiles, and centralized logs for end-to-end auditing — translating technology into real governance. At the data layer, databases were right-sized with careful high-availability application: Multi-AZ only in production, with Single-AZ in Dev and Staging, maintaining automatic backups and read replicas when they added value. In business terms, this means paying for resilience in the right place without carrying 24/7 cost in environments that don't require that level of availability.

Applications were orchestrated on Amazon EKS with Karpenter, enabling automatic elasticity and more efficient resource usage during peaks. All provisioning was standardized as code (Terraform + Terragrunt), reducing variability between environments and shortening provisioning times — which, from a business perspective, translates to more frequent releases with less risk. For security, AWS WAF, KMS, and Secrets Manager hardened the edge and data protection; remote access became more secure with OpenVPN tunneling and granular access policies.

On the financial pillar, we structured consistent tagging and cost dashboards by product/team with variance alerts — the foundation of continuous FinOps that brings predictability to the P&L. And looking at data, we defined the analytics modernization path with Bronze, Silver, and Gold layers and serverless orchestration. This track was adopted by CredAluga, which organized over 500 GB of data aligned with products, elevating analysis reliability and decision-making speed.

Across all fronts, adopting AWS services reduced manual work, increased reliability, and brought end-to-end observability — effects directly perceived in the roadmap, budget, and end-user experience.