How to Build an Endpoint Performance Baseline Using Built-in Windows Tools and PowerShell. Endpoint performance baselines are important. They define what normal looks like and help you detect issues before users feel them. Let’s walk through how to build a reliable endpoint performance baseline using built-in Windows tools and PowerShell. Before we begin, be sure to subscribe to NinjaOne’s IT video hub and our YouTube channel for more tech content like this. Defining Normal Endpoint Performance. A performance baseline establishes a reference point for system behavior under normal conditions. It allows IT teams to compare current performance against known-good values and quickly identify abnormal patterns. To get accurate results, endpoints should be grouped by shared characteristics. These groups, or cohorts, may include device type, hardware tier, operating system version, and endpoint role. Device type, hardware tier, operating system version, and endpoint role all influence performance behavior. A sales laptop, a developer workstation, and a virtual machine will each show different baseline patterns. Defining these groups upfront ensures comparisons remain meaningful and avoids false positives. Collecting Baseline Metrics with PowerShell. Next, define the metrics you want to track and establish appropriate thresholds based on device role, business requirements, or service-level agreements (SLAs). Core metrics typically include CPU utilization, memory usage, disk I/O, network activity, uptime, and boot time. Once these are defined, PowerShell becomes the primary collection tool. Using built-in CIM and performance counter commands, you can capture real-time snapshots of system health. These commands allow you to measure processor load, available memory, disk queue length, and uptime without installing third-party tools. After that, exporting the results to CSV files makes before-and-after comparisons easy and repeatable. Verifying Results and Storing Baseline Values. After collecting data, quick validation helps confirm accuracy. Built-in Command Prompt tools can verify running processes, services, and system uptime during spot checks. This step ensures your baseline reflects normal operating conditions. At the same time, key baseline indicators can be stored locally in the Windows Registry. This provides a simple reference point for future comparisons, offline audits, and automation workflows. Saving values like CPU load, free memory, and uptime allows for offline validation and automation. These stored values can later be compared against current readings to detect drift. Automating and Scaling Baseline Collection. Finally, automation keeps baselines current and helps detect performance drift before it affects users. Task Scheduler can run PowerShell scripts daily or weekly. In enterprise environments, Group Policy can standardize performance logging across all devices. NinjaOne builds on this by centralizing data, scheduling scripts, and triggering alerts when performance deviates from the baseline. For more information, check out our official blog post on endpoint performance baselining linked in the description below.