Inability to forecast resource utilization results in server resources (CPU, memory, storage) getting consumed fast.
Lack of server resource usage and allocation details leads to increased expenditures for server hardware.
Resource contention bottlenecks impact the availability and performance of applications running on servers.
Quickly identify which server resources such as CPU, memory, disk, etc. have reached capacity.
Knowing when server resources reach capacity, helps you make informed decisions on hardware purchases.
Monitor virtual and storage resource capacity bottlenecks impacting application health and performance.
Server capacity planning is the process of monitoring and alerting on server resources, such as CPU, memory, disk, and network. Being able to forecast when your server will run out of resources will help optimize hardware investments
Technical Services Manager at Carilion Clinic
Call us at 866.530.8100
Email us at Sales@SolarWinds.com