{"id":1662,"date":"2023-07-20T12:54:09","date_gmt":"2023-07-20T12:54:09","guid":{"rendered":"https:\/\/quantiv.com\/?p=1662"},"modified":"2023-07-21T14:14:23","modified_gmt":"2023-07-21T14:14:23","slug":"the-secret-to-discovering-what-you-dont-yet-know-you-need-to-know","status":"publish","type":"post","link":"https:\/\/quantiv.com\/the-secret-to-discovering-what-you-dont-yet-know-you-need-to-know\/","title":{"rendered":"The secret to discovering what you don\u2019t yet<\/em> know you need to know"},"content":{"rendered":"

<\/div>
<\/div><\/div><\/div><\/div>

\"ChrisChris Conway
\nChief Architect, Quantiv<\/p>\n<\/div>

After a problem has taken place, you may find yourself thinking, \u2018I should have seen that coming\u2019 or \u2018I should have seen that happening<\/i><\/a>\u2019.<\/p>\n

With the benefit of hindsight, the cause of a problem may seem obvious. And equally, the way to avoid it in future may appear to be dependent on \u2018just\u2019 monitoring a few simple indicators.<\/p>\n

This is certainly true when it comes to IT applications. The IT\/technical team are often the first responders to system emergencies, so it\u2019s natural they\u2019d feel the most in need of early warning systems. Simple measures, such as checking resource usage, network activity and database performance can be good indicators of overall health without needing detailed knowledge of how particular applications operate.<\/p>\n

If the developers of those services can get involved in that monitoring, too, then the internal functions of the applications can also be used as sources of information<\/a>.<\/p>\n

The inside-out (or bottom-up) approach<\/h3>\n

As these techniques have become more sophisticated and commonly adopted, so dedicated systems have emerged to support gathering of application performance monitoring (APM) information.<\/p>\n

These methods rely on monitoring the operation of low-level components that make up a wider application or a system (think of them as an inside-out or bottom-up approach).<\/p>\n

But while this provides a good picture of technical performance, it can be incomplete from an operational point of view. Plus, operational problems can sometimes still exist, even if all the technical components are working correctly.<\/p>\n

And when resource usage and database performance are within limits, it\u2019s possible for operational processing<\/a> not to perform as you\u2019d expect it. For example, orders not being received isn\u2019t necessarily triggering a resource, networking or database alert. And even if orders are being received, they\u2019re not necessarily being processed. Or worse, some orders are being received and processed, while a small but significant minority are becoming \u2018stuck\u2019.<\/p>\n

Outside-in\/top-down activity<\/h3>\n

Providing minimum as well as maximum alert conditions could help identify some of these problems (though probably wouldn’t help with the \u2018stuck\u2019 issue). Plus, it requires knowledge of operational processes being performed, and so strays from pure technical monitoring into operational monitoring.<\/p>\n

The monitoring therefore changes from concentrating on what is happening<\/i> to what is required<\/i>. In effect, it becomes an outside-in or top-down activity.<\/p>\n

To support that style of monitoring, the nature of information collection changes. Less fine-grained detail is needed, and the metrics may not need to be collected as frequently.<\/p>\n

But to allow comparisons between metrics to be made (for example, to check the progress of an order or the status of a customer), more contextual reference data needs to be collected.<\/p>\n

It\u2019s also helpful if that context builds a model of the reference data<\/a> collected, so the operation can be checked against an expected model.<\/p>\n

And if both can be exposed through a simple application programming interface (API), the information can be used not only for operational reporting, but also for driving further processing. This, in turn, allows for simplified and automated integration between applications.<\/p>\n

The above is exactly the pattern of metric collection supported by Quantiv’s<\/a> NumberCloud product, which collects data you already<\/i> know you need to know.<\/p>\n

However, defining metrics based on your organisation\u2019s operational processing presumes you already have a model for that processing. But sometimes even that isn\u2019t clear, or at least not in the terms needed to make metric definition (and so monitoring) easy. And that\u2019s where our NumberWorks method comes in because it helps you work out what you don\u2019t yet<\/i> know you need to know.<\/p>\n

Helping you to monitor\u2026 and discover<\/h3>\n

Taken together, NumberCloud and NumberWorks help you to monitor what you already<\/i> know you need to know and discover what you don\u2019t yet<\/i> know you need to know.<\/p>\n

To find out more, call our team on 0161 927 4000 or\u00a0email: info@quantiv.com<\/a><\/div>\n<\/div><\/div><\/div><\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"

After a problem has taken place, you may find yourself thinking, \u2018I should have seen that coming\u2019 or \u2018I should have seen that happening\u2019. <\/p>\n","protected":false},"author":1,"featured_media":1664,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"yoast_head":"\nThe secret to discovering what you don\u2019t yet know you need to know - Quantiv<\/title>\n<meta name=\"description\" content=\"After a problem has taken place, you may find yourself thinking, \u2018I should have seen that coming\u2019 or \u2018I should have seen that happening\u2019.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/quantiv.com\/the-secret-to-discovering-what-you-dont-yet-know-you-need-to-know\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The secret to discovering what you don\u2019t yet know you need to know - 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