Data Engineering
Platform Engineering
  • Terraform
  • Kubernetes
  • Ansible
  • Docker
  • Elastic
Software Engineering
  • Spring
  • React
  • Python
  • Scala
Data Governance

For a modern approach to data management, it is essential to have knowledge of both traditional on-premises infrastructure and the services offered by the cloud. Cloud services play a fundamental role in data management and should be used correctly to derive maximum value while reducing costs and risks.

A proper use of the cloud can provide organizations with greater flexibility and potential cost savings by leveraging the most appropriate cloud services for each workload.

It’s important to always consider intermediate solutions, especially given the starting conditions of a project approaching the cloud.

Hybrid-cloud strategies, using a combination of on-premises services, private cloud, and public cloud, can leverage the strengths of each solution.

Multi-cloud strategies, on the other hand, involve the use of multiple public cloud services from different providers to avoid vendor lock-in and take advantage of the unique characteristics of each platform. While this can provide organizations with greater flexibility and choice, it can also add complexity to their cloud environment management.

Our goal is to guide our clients through this journey, allowing them to fully leverage the opportunities offered by the cloud, maximize the efficiency of their solutions, monitor costs, and minimize risks.

Technologies Cloud

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