Server monitoring software tracks CPU, memory, storage, and process health across your server estate. At small scale, this is straightforward. As your environment grows to include physical servers, VMware virtual machines, Docker containers, and cloud instances across AWS and Azure, the complexity compounds quickly.
What server monitoring needs to cover
A complete server monitoring picture includes performance metrics (CPU, memory, disk I/O, network throughput), availability (is the server reachable and responsive), process health (are the expected processes running), log events (error patterns in application and system logs), and capacity trends (are you approaching resource limits that will cause problems).
Most monitoring tools cover the basics. The differentiator is how they handle alert volume and what happens when a server event triggers downstream effects elsewhere in your infrastructure.
Hybrid coverage: physical, virtual, and cloud
Physical servers monitored by SolarWinds or Nagios, virtual machines managed by VMware, and cloud instances on AWS, Azure, or GCP all need to be visible in the same operations view. Separate monitoring consoles for each layer mean your team always has an incomplete picture during an incident.
"When a server failure cascades into application errors and cloud resource issues, you need to see all three in the same view — not hunt across three separate consoles."
Correlation across the dependency chain
Server events rarely stay contained. A database server approaching memory limits affects the applications running queries against it. Those applications may trigger cloud auto-scaling events. Each step in the chain generates its own alerts. Without a correlation layer, your team chases symptoms. With one, they identify the database server as the root cause before the cascade gets out of hand.
ITSM integration for tracked resolution
Server incidents that affect end users or SLAs need to be tracked through to resolution in your ITSM system. Automatic ticket creation — with accurate first-occurrence timestamps, affected entities, and alert context — ensures that resolution is tracked consistently, and that post-incident review has the data it needs.
Where RightITnow ECM fits
RightITnow ECM correlates server events from SolarWinds, Nagios, Zabbix, Zenoss, Dynatrace, Datadog, and cloud-native monitoring sources. When a server event triggers downstream alerts, ECM groups them into a single correlated incident and identifies the root cause automatically.
ECM's Entity Graph maps the dependency relationships between your servers, applications, and services — so when a server failure cascades, the impact is visible before your team starts responding to each downstream alert individually.