AI
Platform Engineering
Governance

In increasingly complex IT environments, which are often distributed between on-premises and the cloud, a radical review of infrastructure management has become necessary in order to reconcile often opposing requirements such as scalability, high reliability, security, and speed in provisioning and configuring resources.

The Platform Engineering area aims to streamline not only infrastructure and application processes but also data processes, with particular attention to three key elements:

  1. Security: a practice aimed at protecting digital information, devices, and personal or sensitive data through a series of processes and technologies;
  2. Observability: the property of a system that allows knowledge of the intrinsic state of infrastructure and applications;
  3. Automation: the study, analysis, and definition of automatic processes capable of mitigating the risk derived from human error, reducing processing times, and improving system scalability.

At Quantyca, we have developed expertise in infrastructure management, development, and automation to make the data platforms we develop stronger, faster in evolving, and easier to maintain in production. This allows us to support our clients in streamlining processes and increasing the speed of time-to-market for new applications, ensuring reliability, sustainability, and flexibility of the architecture and applications developed.

 

Technologies Platform Engineering
Governance
Platform Engineering
Platform Engineering
Platform Engineering
Platform Engineering
Platform Engineering
Platform Engineering
Platform Engineering
Platform Engineering
Platform Engineering
Platform Engineering
Platform Engineering

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