---
description: >-
  A performance stat server typically collects a wide range of performance
  metrics
---

# Server Performance Stat

A performance stat server typically collects a wide range of performance metrics, including CPU utilization, memory usage, disk I/O, network traffic, response times, error rates, and other relevant indicators. It aggregates and stores this data, often in a database or repository, and presents it through a user interface or reporting dashboard.

The purpose of a performance stat server is to enable efficient and centralized monitoring of server performance across an IT infrastructure. It helps administrators gain insights into resource utilization, identify performance bottlenecks, track trends over time, and troubleshoot issues promptly.

Additionally, performance stat servers often provide alerting capabilities, allowing administrators to define thresholds or rules for specific metrics. When performance metrics exceed predefined thresholds or deviate from normal behavior, the server can generate notifications or alerts to notify administrators of potential problems.

Typically find on a performance stat server data dashboard:

1. **Overview Section**:
   * Server Status: Indication of the server's overall status, such as "Online" or "Offline."
   * Key Metrics Summary: High-level summary of critical performance metrics, such as CPU utilization, memory usage, disk I/O, and network traffic.
2. **Performance Metrics**:
   * CPU Utilization: Real-time or historical graph displaying the percentage of CPU resources being utilized.
   * Memory Usage: Graph illustrating the memory usage trends and current utilization.
   * Disk I/O: Chart showing the read and write operations on storage devices, including throughput and latency.
   * Network Traffic: Graph displaying incoming and outgoing network traffic patterns and bandwidth utilization.
3. **Response Time and Latency**:
   * Application Response Time: Average response time of the application or system.
   * Network Latency: Real-time or historical data showcasing network latency or round-trip time.
4. **Error Monitoring**:
   * Error Rates: Graph or table presenting the number of errors or failures occurring on the server.
   * Error Trend: Trend line depicting the trend of error occurrences over time.
5. **Resource Utilization**:
   * CPU Allocation: Breakdown of CPU usage across different processes or applications.
   * Memory Allocation: Distribution of memory usage among various processes or applications.
   * Disk Space: Visualization of the available disk space and usage.
6. **Alerts and Notifications**:
   * Active Alerts: List of active alerts or notifications triggered based on predefined thresholds or rules.
   * Recent Events: Log of recent events, including warnings, errors, or important system activities.
7. **Historical Analysis**:
   * Trend Analysis: Historical charts or graphs showcasing the trends and patterns in performance metrics over time.
   * Performance Comparison: Comparison of performance metrics between different time periods, allowing for trend analysis.
8. **Customization and Filters**:
   * Interactive Controls: Filters or drop-down menus to customize the view and focus on specific metrics or time ranges.
   * Drill-Down Functionality: Ability to drill down into specific metrics or subsystems for more detailed analysis.

It's important to note that the specific performance statistics and their availability may vary depending on the performance monitoring tool or software being used. Additionally, some performance stat servers may provide real-time monitoring and alerting capabilities to notify you of critical performance issues or deviations from predefined thresholds.
