Monitoring

Monitoring is an essential facet of running applications in a production system. Through this process, organizations collect and analyze data, and determine if a program is performing as expected within set boundaries. When combined with alerting, monitoring allows for detecting unexpected system behavior to mitigate exceptional situations as fast as possible. Furthermore, tracking the performance of a system enables organizations to improve those aspects that have the biggest impact with higher priority. One essential aspect of monitoring is the list of key metrics you want to observe. There are different categories of statistics that can be of interest here. To observe the defined metrics, there are plenty of application monitoring tools on the market today. They differ in many aspects...

Key performance indicators (KPIs) are the most important metric for analyzing statistical data of business processes: KPIs can not only be used to highlight efficiencies and inefficiencies in business processes, but they can help to subsequently improve specific activities in order to speed up process execution. Choosing the right KPIs and displaying the data in a simple and intuitive way is key for process improvement. One of the most common requirements for KPI monitoring is about time-sensitive business processes. The question that you might ask is ‘How can we monitor which business processes or specific steps were completed in time and which did not?’ Within this blog entry I will outline how one can make use of Camunda’s open architecture...