Server Monitoring Blogs
The concept behind server monitoring is straight-forward: server monitoring is the regular collection and analysis of data to ensure that servers are performing optimally and providing their intended function. The data used for server monitoring encompasses key performance indicators (KPIs), network connectivity, and application availability. For example, monitoring a Windows file server would examine:
Data from each of these categories is analyzed in order to minimize, or ideally prevent, server outages or slowdowns. The selection of the data points and how they are analyzed will vary based on the server and its function, however the general data collection and evaluation methodology is consistent no matter the operating system or server function.
Server monitoring becomes more complex as IT infrastructures become both denser, more complicated, and dispersed. Significantly larger quantities of server data and the need to analyze that data quickly can only be accomplished with automation. This allows IT personnel to spend their limited resources on advancing high value initiatives rather than chasing down avoidable server issues.
Server downtime results in costs such as lost sales opportunities, lost productivity, or penalties for not meeting SLA requirements. By reducing downtime, server monitoring minimizes these costs and, when executed properly, reduces operational costs, enhances communication, and increases productivity. When calculating the return on investment for server monitoring, weigh the company wide costs generated by downtime against the IT resources required to deliver maximum uptime.
The following outline is a list of items to take into account when implementing a server monitoring system:
What should you monitor?
What constitutes a problem?
What should you do when a problem is identified?
What are the benefits of analyzing long-term historical server data?