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Microservices

Boost agility and scalability with modular architectures that evolve without friction.

Architectures that drive agility and high performance.

Deploy applications faster, more flexibly, and with greater security using a microservices-based architecture. Break systems into independent components that make it easier to scale, update, and maintain each function without impacting the whole.
With modern orchestration, automation, and strong security practices, your applications gain resilience, faster deployments, and an operation ready to evolve at business speed.

35

Improvement in application scalability

40

Reduction in deployment times

30

Increase in resilience and availability

Benefits

The value behind the solution.

Seamless scalability

Adapt your applications to business growth with independent components that expand capabilities without disrupting core operations.

Increased operational resilience

Isolate failures to maintain service continuity, ensuring stable systems that withstand demand spikes and unexpected behaviors.

Fast and safe evolution

Deploy updates and improvements continuously without downtime, reducing risk and accelerating business value delivery.

Our methodology

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Success stories

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Insights

News, trends and perspectives about Microservices.

My journey into AI Governance began at the 2023 Second World Summit of Future Commissions held in Montevideo, Uruguay. This event, hosted by the Parliament of Uruguay and the Inter-Parliamentary Union, was a significant starting point. We discussed the need for anticipatory governance in AI, focusing on how this technology intersects with democracy, human rights, and societal structures. These discussions set the stage for a deeper exploration of AI’s transformative potential.

In the world of data applied to public utilities, striking the right balance between a centralized Business Intelligence (BI) strategy and a self-service approach is key to maintaining agility without sacrificing control.

In recent years, utilities have invested heavily in data analytics as a driver of efficiency and decision-making. However, this evolution has not always been supported by a unified strategy around Business Intelligence (BI) platforms.

In the energy business, the time factor is crucial. Decisions about which plants to start up, when to do it, and at what capacity require careful planning. It is not enough to simply react to real-time consumption: every mistake impacts efficiency and can put the stability of the system at risk.