Which practice helps manage capacity in a large NPM deployment?

Which practice helps manage capacity in a large NPM deployment?

• A. Rely on a single poller.
• B. Ignore data retention.
• C. Turn off alerts.
• D. Distribute polling across multiple servers.

Answer: (D)

Distributing polling across multiple servers helps manage capacity in a large NPM deployment. When monitoring many devices, a single poller can be overwhelmed, using excessive CPU, memory, and I/O and causing slower data collection or gaps. Spreading the polling workload across several pollers increases parallel data collection, reduces the chance of any one server becoming a bottleneck, and improves overall throughput and reliability. It also adds redundancy—if one poller fails, others continue gathering data. In SolarWinds NPM, you’d set up distributed pollers and assign devices to multiple pollers to balance the load and scale as the network grows. The other options don’t address capacity effectively: a single poller becomes a bottleneck, ignoring data retention leads to storage and performance problems, and turning off alerts removes visibility without solving capacity concerns.

Distributing polling across multiple servers helps manage capacity in a large NPM deployment. When monitoring many devices, a single poller can be overwhelmed, using excessive CPU, memory, and I/O and causing slower data collection or gaps. Spreading the polling workload across several pollers increases parallel data collection, reduces the chance of any one server becoming a bottleneck, and improves overall throughput and reliability. It also adds redundancy—if one poller fails, others continue gathering data. In SolarWinds NPM, you’d set up distributed pollers and assign devices to multiple pollers to balance the load and scale as the network grows. The other options don’t address capacity effectively: a single poller becomes a bottleneck, ignoring data retention leads to storage and performance problems, and turning off alerts removes visibility without solving capacity concerns.