Microsoft Azure

Azure can solve almost any infrastructure problem, and create new ones just as easily if nobody plans the architecture first.

Azure is broad enough to solve almost any infrastructure problem and complex enough to create new ones if it is not architected carefully. The difference between a clean Azure environment and an expensive mess is almost always in the planning, not the platform. 

We design, build, and manage cloud solutions on Azure, from infrastructure and data services to AI, machine learning, and cloud native application development. Whether you are starting your cloud journey or optimizing an existing environment, we bring both technical depth and architectural clarity. 

How we help 

  • Infrastructure design: Azure environments architected for your actual workload, not a generic reference template. 
  • Data services: Azure SQL, Synapse, and related services configured to support real reporting and analytics needs. 
  • AI and machine learning hosting: models and AI agents deployed and managed reliably on Azure infrastructure. 
  • Cloud native application development: applications built to take advantage of Azure's scaling and resilience rather than just running on it. 

Technology 

  • Microsoft Azure 
  • Azure Functions 
  • Azure App Service 
  • Azure Synapse Analytics 
  • Azure Machine Learning 
  • Azure Kubernetes Service for containerized workloads 
  • Azure Monitor and Application Insights 
  • Azure Cost Management 

 

Why it matters 

Azure underpins nearly everything we build, from the backend systems and APIs behind Lomarengas to the machine learning models we develop for forecasting and segmentation, and the AI agents we deploy for customer facing and internal use. 

Azure's biggest strength, the sheer breadth of services available, is also its biggest trap for teams without dedicated cloud architects. We deliberately keep architectures simple where simplicity is enough, reaching for more complex services like Kubernetes or Synapse only when the workload genuinely needs them.

Frequently asked questions

Our deepest expertise is in Azure, given our Microsoft partnership, but our cloud architecture and migration principles apply broadly. For Azure specifically, we bring certified, hands on depth.
Migrating without redesigning architecture first, which just relocates existing problems to a new, often more expensive environment instead of fixing them.
Yes, this is increasingly common in our own project work, hosting machine learning models, AI agents, and traditional applications within the same Azure environment.
A focused cost and architecture review usually surfaces this quickly. It is a common starting point for clients who suspect their cloud bill has grown without matching value.