{"id":17141,"date":"2026-07-13T11:22:10","date_gmt":"2026-07-13T14:22:10","guid":{"rendered":"https:\/\/eseg.edu.br\/?p=17141"},"modified":"2026-07-16T16:11:38","modified_gmt":"2026-07-16T19:11:38","slug":"edge-computing-what-is-it-and-how-does-edge-computing-work","status":"publish","type":"post","link":"https:\/\/eseg.edu.br\/en\/blog\/edge-computing-o-que-e-e-como-funciona-a-computacao-de-borda\/","title":{"rendered":"Edge Computing: What is it and how does Edge Computing work?"},"content":{"rendered":"

Have you ever noticed how some technologies seem to respond instantly?

A connected car identifies obstacles in seconds. An industrial system corrects faults almost in real time. A navigation app calculates a route instantly.

Behind this speed lies an important change in the way data is processed.

It is in this context that edge computing emerges. Instead of sending all information to distant servers in the cloud, this technology allows processing to happen closer to where the data is generated.

In practice, this reduces delays, increases efficiency, improves the user experience, and creates an infrastructure better prepared for increasingly complex artificial intelligence, automation, and digital systems applications.

That was precisely the topic that was addressed in one of the episodes of ESEG Talks<\/a>, a podcast from Faculdade ESEG, which featured Victor Arnaud, president of Equinix Brazil, for a conversation about \u201c"Digital infrastructure as the invisible engine of the AI revolution"\u201d<\/a>.

In this article, you will understand what edge computing is, how this technology works, what its differences are compared to cloud computing, and why it is transforming the way companies innovate and technology professionals prepare for the future.<\/p>\n\n\n\n

The hot topic at ESEG Talks<\/h2>\n\n\n\n

As artificial intelligence, cloud computing, and connectivity advance, technologies like edge computing are taking on an increasingly strategic role. Understanding how this infrastructure works is essential to comprehending the transformations that are redefining businesses, careers, and the digital economy.<\/p>\n\n\n\n

This was one of the central discussions in the first episode of ESEG Talks<\/a>, which hosted Victor Arnaud, president of Equinix Brazil, for a conversation about "Digital infrastructure as the invisible engine of the AI revolution".

Throughout the episode, concepts such as interconnection, expansion of computing capacity, evolution of data centers, and the strategic role of modern digital architectures in building an ecosystem prepared for artificial intelligence are explored.<\/p>\n\n\n\n

In this article, you will delve deeper into these concepts and understand how technologies such as edge computing, cloud computing, hyperscale, and multi-cloud complement each other to enable the innovations that are transforming business and society.<\/p>\n\n\n\n

\n

Watch the full episode:<\/strong> ESEG Talks | Episode 1 with Victor Arnaud (Equinix Brazil)<\/a><\/p>\n<\/blockquote>\n\n\n\n

What is Edge Computing?<\/h2>\n\n\n\n

Edge computing is a computing model in which data processing and analysis occur close to the source of that information.

This source can be a device, a machine, a sensor, an industrial system, or any connected equipment.

Traditionally, data was sent to large processing centers in the cloud. With edge computing, some of this processing occurs locally.

The result is simple: less waiting time, less bandwidth consumption, and ultimately, faster response times.

Imagine a smart camera in a factory.

If each image had to travel to a remote data center to be analyzed, there would be a delay in decision-making.

With edge computing, the infrastructure near the camera itself performs much of the processing.

This makes critical operations more efficient.<\/p>\n\n\n\n

How does edge computing work?<\/h2>\n\n\n\n

To understand how edge computing works, think of a distributed architecture.

The data no longer has to travel long distances before being processed.

The flow typically happens like this:<\/p>\n\n\n\n

    \n
  1. A device generates data.<\/li>\n\n\n\n
  2. An edge system receives this information.<\/li>\n\n\n\n
  3. The processing happens locally or at an intermediate point.<\/li>\n\n\n\n
  4. Only relevant data goes to the cloud.<\/li>\n<\/ol>\n\n\n\n

    This model reduces unnecessary traffic and improves operational performance.

    There are three elements that help this architecture to function.<\/p>\n\n\n\n

    Edge devices<\/h3>\n\n\n\n
    \"Edge<\/figure>\n\n\n\n

    Edge devices are responsible for generating or processing data close to the environment where it originates.

    Some examples:<\/p>\n\n\n\n