Linux Server Monitoring Best Practices - Strategies And Best Practices For Virtualizing Sql Server
CloudRadar linux server monitoring best practices - linux server monitoring from the cloud.
Server monitoring allows system administrators to track in-depth performance data about a server’s status and health. This can include monitoring the the CPU load, memory utilization and disk fill levels, and if business-critical processes are running.
Monitoring is accomplished by alerting if any critical events occur of thresholds are reached, allowing the administrator to act quickly to remedy the situation and prevent future issues.
Server monitoring helps with this in 4 ways:
- Notifying you when there is or may be a server issue: The most important function of server monitoring tools is to notify you in the moment an issues occurs with your server, regardless of where you are. This let you act fast to remedy the situation and keep the server running. Monitoring can be either reactive to issues that have already occurred, or proactive to issues that are about to develop, such as disk fill levels reaching +90% capacity or memory reaching critical levels.
- Giving you a clear overview of all your systems: This is especially important with larger server and network setups, or ones that are physically located in different places. Server monitoring lets you keep a detailed overview of your entire system via a unified dashboard, giving you peace of mind in knowing that all systems are working as intended.
- Empowering your decisions with historical server data: Server monitoring tools let you drill down into the hours, days and weeks leading up to a critical server issue. This lets you determine if the issue built up slowly over time, or failed spontaneously. Knowing why issues are occurring, and what has occurred before, will help you make the right decision going forward.
- Driving better server performance in the future: Because of the ongoing alerts, overview dashboards and historical data, you will have a wizard-like mastery of your server and deep intelligence into what has worked and what hasn’t. This allows you to make the right decision for optimizing your network long term.
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