How is NPM scalability achieved?

How is NPM scalability achieved?

• A. Through multiple pollers and high-availability.
• B. Through clustered storage.
• C. Manual load balancing.
• D. Poller rotation.

Answer: (A)

Distributing data collection across multiple pollers and ensuring redundancy through high availability is how NPM scales. Each poller gathers metrics from devices in parallel, so adding more pollers increases the overall polling capacity and reduces bottlenecks as your network grows. High availability provides redundancy, so if one poller or component fails, others continue collecting data and the web interface remains reachable. This combination lets you expand monitoring capacity without sacrificing performance or uptime. Options like clustered storage aren’t how NPM scales, manual load balancing isn’t the designed approach, and poller rotation isn’t the standard scaling method.

Distributing data collection across multiple pollers and ensuring redundancy through high availability is how NPM scales. Each poller gathers metrics from devices in parallel, so adding more pollers increases the overall polling capacity and reduces bottlenecks as your network grows. High availability provides redundancy, so if one poller or component fails, others continue collecting data and the web interface remains reachable. This combination lets you expand monitoring capacity without sacrificing performance or uptime. Options like clustered storage aren’t how NPM scales, manual load balancing isn’t the designed approach, and poller rotation isn’t the standard scaling method.