Cisco Unified Computing System Adapters (UCS VICs)

The platform is perfect for the data center to perform functions in real-time if required. With the Vics we have obtained a considered performance to achieve an integration of physical servers. Cisco UCS satisfies the users and above all the customers by giving a unique fast service. Administration to computers, telephony, and others, it is a robust software. Better communication and Wi-Fi network, the company as a whole makes use of these features, excellent communication through Cisco.

We have in our datacenter some Cisco UCS servers in a rack in a scenario where they are used to implement virtual machines from different systems / services of the company. Services such as switch management software, wireless, telephony and other Active Directory services, printing and files. They are equipment with high performance, robustness and reliability. Cisco UCS VICs implement VM-FEX which helps us to unify the virtual logical network with the physical network structured in a single control and management structure.

As tools for Wi-Fi and communication. This is used throughout the whole organization. It assists when there are issues with any communication services. During the time of the pandemic, CISCO was able to allow for a faster service in my home (where it was set up due to teleworking) and still maintain the authenticity of the program.

Cisco UCS provides us the best lowest latency as compared to traditional infrastructure it integrates our physical and virtual network in a single infrastructure solution by reducing EXIs required for switching purposes, It distributes the network traffic load on our EXIs by distinguishing their requirements i.e. based on security types and usage of interface and Nevertheless is saves our consumption of energy as well.

Currently use the content-based management to automate and accelerate deployment of all internal applications, that include virtualization and cloud computing infrastructure through VMWare and Microsoft 0365. , scale-out and bare-metal workloads, and in-memory analytics for real time decision making. We also use it for edge computing that supports multiple remote and branch locations.