The digital economy is all about conducting personal and business transactions over internet powered applications that make it simple, fast, efficient, and cost-effective. Be it personal banking, processing payments settlements, buying stocks on an exchange, calling for a cab, ordering food, application for government tenders, storing land records, dating, registering marriage, or paying utility bills, these applications have made an impact on every aspect of human lives. The sheer volume of these transactions has posed a challenge to the large technology enterprises managing the internal and external business applications. One glitch in any component could bring the entire system down and cause significant loss of revenue.
Partial view could be blinder: IT teams have always been following a fragmented approach for application monitoring rather than using a unified view. They use hosted or SAAS based monitoring solutions designed to monitor specific application or setups. As a result, a single enterprise could have multiple solutions to cover the full stack. This approach is neither efficient nor effective. Instead, a better way could be to use a centralized monitoring solution that visualizes the application as a whole and not sums of parts. Such a monitoring system provides infrastructure monitoring, application monitoring and sends alerts when a predefined metric breaches the threshold. This monitoring system can also reveal valuable insights about the system which would have never been known with scattered data sets.
Static KPIs are dangerous: Often IT teams to set up monitoring KPIs for the application and just forget it. This is almost suicidal. As the application evolves to accommodate new data sets, provide new services, and deals with new threats, the monitoring KPIs should change in line. In other words, KPIs for monitoring the application stack should be a dynamic endeavor. Even though some monitoring solutions provide plug-ins and customization features, the IT team still find it challenging to monitor the KPIs which are critical for business decision making.
Weed out: Often, large scale enterprise applications generate a huge amount of data, both relevant and irrelevant. Unless the monitoring system is customized based on the most relevant KPIs, the system will continue to be clogged with irrelevant monitoring data which misses the key KPIs.