As mentioned above, data drives smart decision making. If you want to know how your network, or supply chain, or sales team is doing\u2014and be able to act accordingly\u2014you\u2019ll need adequate information in the first place. Monitoring data means that you\u2019re collecting data so it\u2019s ready for a decision. It means that when you need to make a decision, you don\u2019t have to scramble to find the right data. You already have it on hand!<\/p>\n
In general, as you monitor, you\u2019ll be collecting data for three types of decisions. These are:<\/p>\n All data can be divided into two categories: qualitative and quantitative. You will need to collect both in order to get the full picture of your system.<\/p>\n Quantitative data is numerical data. It\u2019s often also called \u201cmetrics\u201d since it consists of numerical measurements. The main benefit of application performance metrics is that, because they\u2019re numbers, it\u2019s easy to compare data against other data or against a set goal. Although metrics may not tell you why something is succeeding or failing, analyzing the data will allow you to quickly see how well your systems are performing.<\/p>\n Examples of quantitative data\u2014or key infrastructure monitoring metrics\u2014for servers and networks include:<\/p>\n Qualitative data, on the other hand, is non-numerical data. It describes events, descriptive reports, or changes within a system, and it is most often delivered in log format or as an alert.<\/p>\n While quantitative data doesn\u2019t necessarily tell you about the performance of your system (except in general terms of success\/failure), it can provide excellent insight if something goes wrong, allowing you to diagnose errors, track failures, and be warned against future problems.<\/p>\n All qualitative data should be monitored, with logs stored for future analysis and data alerting prioritized for urgency, and possibly redirected to an appropriate employee.<\/p>\n One of the fundamental ideas behind data monitoring is that, as long as you have the resources, it should be done all the time. In many cases, you won\u2019t know what data you need until you need it, and it\u2019s much better to have to sort through too much data than to have not enough data for a decision.<\/p>\n Having said that, there are two important factors to consider that will impact your resources:<\/p>\n The scope of your data collection is also an important consideration, especially if you manage systems in multiple locations. When it comes to metrics, good data should be easily comparable, either to benchmarks or to similar data from other sources. So, if you\u2019re collecting data from multiple locations, you need to make sure you\u2019re monitoring the same sources in each.<\/p>\n Data becomes important not when you collect it, but when you use it to make a decision. A critical part of your data monitoring, therefore, is to make sure your data is clean, proper, and ready for use as soon as possible before the data is actually needed. That way, when it becomes important, you\u2019re not wasting time or money sorting through data to make it useful or readable.<\/p>\n In other words, your monitoring and collection techniques need to produce the right data. These techniques should include:<\/p>\n With so much data available to today\u2019s administrators, staying on top of your monitoring and alerting strategy can seem overwhelming. Power Admin makes active network monitoring<\/a> rapid and intuitive with PA Server Monitor. Capable of capturing metrics across hundreds of local and remote sites, PA Server Monitor is a versatile, robust server monitoring service<\/a> that puts the power of data back in your hands.<\/p>\n For an automated solution that gives you both convenience and control, choose PA Server Monitor<\/a>. To see how it can work for you, take a look at a live demo<\/a> or contact us<\/a> today.<\/p>\n","protected":false},"excerpt":{"rendered":" When it comes to business, data is everything. Whether it\u2019s sales, supply, marketing, or your I.T. systems, every day is a constant stream of decisions to be made. To make the right decisions, you need enough knowledge. To have enough knowledge, you need the right data. What\u2019s the best way to collect all this data? […]<\/p>\n","protected":false},"author":3,"featured_media":6994,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[57],"tags":[],"class_list":["post-6993","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-monitoring"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.poweradmin.com\/blog\/wp-json\/wp\/v2\/posts\/6993","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.poweradmin.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.poweradmin.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.poweradmin.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.poweradmin.com\/blog\/wp-json\/wp\/v2\/comments?post=6993"}],"version-history":[{"count":1,"href":"https:\/\/www.poweradmin.com\/blog\/wp-json\/wp\/v2\/posts\/6993\/revisions"}],"predecessor-version":[{"id":6997,"href":"https:\/\/www.poweradmin.com\/blog\/wp-json\/wp\/v2\/posts\/6993\/revisions\/6997"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.poweradmin.com\/blog\/wp-json\/wp\/v2\/media\/6994"}],"wp:attachment":[{"href":"https:\/\/www.poweradmin.com\/blog\/wp-json\/wp\/v2\/media?parent=6993"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.poweradmin.com\/blog\/wp-json\/wp\/v2\/categories?post=6993"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.poweradmin.com\/blog\/wp-json\/wp\/v2\/tags?post=6993"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"\"](\"https:\/\/www.poweradmin.com\/blog\/wp-content\/uploads\/2020\/06\/1-1.jpg\")
<\/a><\/p>\n\n
What Type of Data Should You Monitor?<\/strong><\/h2>\n
Quantitative Data<\/strong><\/h3>\n
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Qualitative Data<\/strong><\/h3>\n
<\/a><\/p>\nWhen Should You Collect the Data?<\/strong><\/h2>\n
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Where Should You Monitor Your Data?<\/strong><\/h2>\n
How Should You Monitor Your Data?<\/strong><\/h2>\n
<\/a><\/p>\n\n
System Monitoring Made Simple<\/strong><\/h2>\n