Cloud architecture and modernization AWS.
We structure AWS environments for migration, application modernization, and cloud operations, creating the foundation to scale enterprise systems and AI projects with full cost control, security, and governance.
The right foundation for scaling systems and Artificial Intelligence.
DOMVS iT guides the end-to-end AWS journey: from application migration and modernization to the ongoing operation of the cloud environment.
Each architecture is designed to provide cost predictability, security, and governance, supporting business growth and new data and AI initiatives.
How DOMVS iT Works on AWS
From environment setup to optimized operation, with governance at every stage.
Migration and modernization
We migrate legacy applications and environments to AWS methodically, modernizing architectures to gain scale, resilience, and speed of evolution.
Data and AI foundation
We structured the data foundation and the necessary infrastructure to accelerate analytics and Artificial Intelligence projects in production.
Operation, FinOps, and Safety
We support the environment with observability, cost governance (FinOps), and security, while maintaining predictability and control.
How we structure the journey
Cloud evolution happens in connected phases, reducing rework and accelerating value.
Assessment and readiness
We mapped the current environment, defined the target architecture, and established the migration plan aligned with business objectives.
Implementation and migration
We execute AWS foundation setup, migration, and application modernization with security and operational continuity.
Operation and scale
We support the environment through observability, FinOps, and continuous improvement to ensure consistent growth.
End-to-end AWS offers
Migration to AWS
Planning and execution of systems and workloads migration to the cloud, with controlled risk and continuity.
Application modernization
Cloud-native application rearchitecture, gaining scale, resilience, and evolution speed.
Landing Zone and architecture
AWS Foundation structured with security, networking, and governance best practices from day one.
FinOps
Cloud governance and cost optimization, with visibility and predictability over consumption.
Observability and operation
Monitoring, automation, and continuous operation for environment stability and performance.
AI and data environments
Infrastructure prepared for data pipelines and AI models in production.
Frequently asked questions
AWS offers a cloud platform capable of supporting enterprise applications and architectures that need to scale on demand, with a wide range of managed services.
An AWS consultancy supports architecture, migration, and modernization projects, in addition to working on already production environments when there is a need for technical evolution or optimization.
The strategy depends on the source architecture and the applications involved. The migration can follow approaches such as rehost or replatform and include modernization when there is a relevant technical gain.
AWS Landing Zone is the foundation of a multi-account environment. With AWS Control Tower, you can build this foundation using best practices for governing AWS accounts and resources.
AWS Well-Architected Framework is the AWS reference to evaluate architectural decisions and compare workloads with best practices for building and operating in the cloud.
FinOps expands visibility into AWS consumption and helps identify optimization opportunities based on actual resource behavior.
AWS Migration Acceleration Program, or AWS MAP, is a program designed to support eligible migration and modernization projects to AWS.
AWS offers services for AI and generative AI application development. Amazon Bedrock, for example, allows you to build solutions using foundation models on a managed platform.
Yes, DOMVS iT can also work on production environments that need architectural review, optimization, or support.
Yes. The work can begin with the assessment of the current scenario and the definition of the appropriate architecture before adopting AWS.