Server uptime refers to the time duration a server has been operational without crashes or reboots. For example, “99.9% uptime” means that the server is expected to be down for 1 minute and 30 seconds per day and over a year expected to be down for less than 9 hours. High server uptime ensures business continuity, builds customer trust, and most importantly reduces revenue loss due to downtime.
There are two main approaches to monitoring server uptime: one is the manual method using the operating system’s native tools, and the other is monitoring through a centralized monitoring solution.
The following section briefly discusses the built-in commands in Linux to check uptime:
| Command | uptime |
| Example Image |  |
| Command | who -b |
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| Command | systemd-analyze |
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In Windows users can check uptime through the command prompt or PowerShell:
| Command | systeminfo | find "System Boot Time" |
| Description | Displays the last system boot time. |
| Example Image |  |
| Command | (get-date) - (gcim Win32_OperatingSystem).LastBootUpTime |
| Description | While the cmd provides the last boot time, PowerShell provides the exact uptime duration since the last reboot. |
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While the manual methods like using system commands on Windows or Linux servers can work for small setups, adopting these traditional approaches for large scale network infrastructures, is time-consuming and inefficient. A network and server monitoring solution like OpManager simplifies uptime tracking by automatically monitoring not just server availability but also key performance metrics. It further offers detailed, actionable insights to help you quickly identify and resolve issues that could lead to downtime. OpManager continuously pings devices at configured intervals to fetch their availability status, and you can easily view uptime trends using the availability timeline.
During periodic server maintenance, you can leverage the downtime scheduler option and prevent raising alerts as the server are down intentionally. OpManager also monitors critical hardware parameters such as fan speed, power supply, and cooling units, ensuring that your servers remain healthy and available. Ultimately this enables you safeguard uptime and ensure high availability. Let us see how you can leverage OpManager's server monitoring capabilities to maximize server uptime.
OpManager continuously monitors key server metrics such as CPU, memory, disk usage, and network performance. When a device crosses its threshold for a metric, OpManager sends instant alerts via email, SMS, or push notifications, enabling IT teams to respond immediately and prevent outages. By leveraging machine learning (ML), OpManager’s adaptive thresholds feature automatically analyzes historical server performance data and usage patterns to set dynamic, context-aware thresholds for key metrics such as CPU, memory, disk usage. Instead of relying on static, one-size-fits-all limits, these thresholds adjust over time based on usage trends. Whenever a server metric exceeds its dynamically calculated threshold, OpManager instantly raises an alert, allowing IT teams to identify potential performance issues, resource exhaustion, or abnormal activity before it impacts applications or end-users.
OpManager provides comprehensive capacity planning reports that track CPU, memory, storage trends over time. The reports give you visibility into the servers that are overutilized, underutilized and idle. This visibility enables your IT teams to reallocate resources for efficient operations or upgrade infrastructure resources before performance bottlenecks occur, ensuring that servers remain stable and responsive even during peak loads.
Modern IT infrastructures often include servers from different vendors and virtualized platforms as well. OpManager is vendor-agnostic server monitoring tool and supports virtual environments like Nutanix, Hyper-V, and Proxmox, giving a unified view of all servers. This centralized visibility helps IT teams detect and resolve issues across diverse systems quickly, reducing downtime and ensuring consistent uptime across the entire environment.
OpManager provides customizable dashboards that give IT teams a single-pane view of key server metrics, including performance metrics and availability. The dashboards with the integration of Zia (our AI assistant) are designed not just for a bird’s-eye overview but also for actionable insights. With Zia dashboards, IT teams gain AI-powered forecasting that predicts when critical resources—such as disk storage—will be fully utilized (e.g., “Disk will reach capacity in 12 days”). Alongside predictions, Zia also outlines the potential impact on server performance and recommends preventive measures, empowering admins to act before downtime occurs.
Beyond dashboards, OpManager enables teams to visualize their infrastructure with detailed Rack Views. These replicate the physical layout of racks, displaying the devices and components at each rack level. This visibility enables you detect the faulty element and guide the onsite technician to implement corrective actions. Rack Views can be combined to build 3D Floor Views, offering a holistic perspective of the entire data center. These floor-level visualizations map out racks and devices in real-world positions, helping IT teams monitor and manage data center operations more intuitively.
To learn more about these features and how it can help manage your network better, take a free personalized demo or try our product for yourself with our free edition.
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