Edge Computing has revolutionized the market, accelerating processes, and enhancing real-time decision-making quality across various business sectors.

Why Edge UOL? The future is no longer centralized; it now resides close to the business and its customers.

At Edge UOL, Edge Computing enables the distributed use of cloud computing resources, providing the flexibility and agility your business needs. We bring users closer to generated data, with real-time processing, enhancing processes and decision-making.

Our focus is to bring quality innovation to your data acquisition, storage, and processing environment, executing applications closer to the user and data source in real-time.

Edge Computing takes the cloud where your business needs it through AWS Outposts and other partners.

Our quality Hybrid Edge solution allows the cloud to operate within your company’s environment, backed by hardware managed and supported by the most reliable market partners.

Edge UOL professionals manage the entire process, from architecture to solution implementation, including implementing a connectivity layer (firewalls and switches) to provide managed cloud infrastructure services.

AWS Outposts, for example, enables on-premises creation and execution of applications with the same programming interfaces as AWS regions while benefiting from modern features to reduce latency and local data processing needs.

Edge UOL oversees the entire solution’s architecture and implementation process, as well as offers managed services for the cloud infrastructure being run. This solution encompasses all components, from processing to connectivity, which are also provided and managed by Edge UOL.

Edge Computing can be installed in partner data centers or directly in your company’s environment (on-premises).

With data acquisition and initial processing being done more closely, it’s possible to conduct analyses within your company’s environment, facilitating predictive analysis and decision-making in logistics and manufacturing environments.

Benefits

More precise analyses

Agility in processes

More efficient data acquisition

Almost immediate systemic response

Systems operating with local latency

Improvement in the decision-making process

Geodistribution: reduces latency with the data origin

Very low latency, ideal for systems requiring a very fast response with local latency

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