WISdom Collection Host Server Sizing Guidelines
To ensure reliable performance and scalability of the WISdom data collection service, virtual machines (VMs) should be sized according to the number of endpoints being monitored. For distributed environments—such as those spanning multiple geographic regions, domains, or subnets—deploying multiple VMs can improve efficiency, reduce latency, and enhance fault tolerance.
Recommended VM Specifications
| Number of Managed Servers | CPU Cores | RAM | Storage |
|---|---|---|---|
| 1–50 | 4 | 8–16 GB | 50 GB |
| 51–200 | 8 | 16 GB | 75 GB |
Managing more than 150-200 servers on a single VM may lead to performance bottlenecks or data collection delays. To maintain service reliability, consider horizontal scaling by deploying additional VMs and distributing the workload.
💡 Scalability Tip:
Improve resilience and consistent collections, consider deploying two smaller VMs instead of one large instance. This approach supports better load balancing, fault isolation, and future scalability.