server nodes

[/ˈsɜːrvər noʊdz/]
nounpl: server nodes
nós de servidor
1. Individual computers or processing units that function as part of a larger network infrastructure, handling requests and distributing data
The cloud infrastructure consists of multiple server nodes distributed across different geographic locations.
A infraestrutura de nuvem consiste em múltiplos nós de servidor distribuídos em diferentes localizações geográficas.
2. Computing endpoints in a distributed system that process, store, or relay information
Each server node in the cluster can independently handle client requests.
Cada nó de servidor no cluster pode lidar independentemente com solicitações de clientes.
3. Physical or virtual machines that serve as connection points in a network topology
The system failed when three server nodes went offline simultaneously.
O sistema falhou quando três nós de servidor ficaram offline simultaneamente.
This is specialized IT terminology widely used in both Brazilian and American tech industries. In Brazil, the term 'nós de servidor' is increasingly common with the growth of cloud computing adoption by companies like Natura, Petrobras, and smaller tech startups. The concept is fundamental to modern DevOps practices, containerization, and microservices architectures that dominate contemporary software development across both countries.
Synonyms / Sinônimos
server instancescomputing nodesnetwork nodeshost serversprocessing nodes
Antonyms / Antônimos
client nodesleaf nodes

Regional Variations

General Brazilian
nós de servidor
Standard term used in IT and cloud computing contexts
São Paulo
nós de servidor / servidores
Common in tech companies; sometimes shortened to 'servidores'
Rio de Janeiro
nós de servidor
Technical terminology consistent with national standards
Portugal
nós de servidor
Same terminology; occasionally 'máquinas servidoras' in older contexts

Related Words

clusterdistributed systemload balancingdata centernetwork topologynode failurescalability

Related Idioms & Phrases

single point of failure (referring to critical server nodes)
scaling horizontally (adding more server nodes)
node redundancy (backup server nodes)
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