AppDynamics delivered financial benefits to our clients. For instance, we are monitoring the money transfer services’ performance metrics, such as response time, how many calls per minute are in a specific time range, and how many other transactions are per minute in a specific time range. These are the technical metrics, the performance metrics specifically. But we are also measuring their business metrics inside the method parameters for HTTP data collectors.
So we can get this business metric data easily without any code application. This is a very important part. We don’t need any code declaration or development on the development side. We can measure parameters like the amount of money, the success of their transactions, and other business success metrics from these method parameters without any code declaration.
Another example is a loan team in a bank that measures their loan services from their clients. They track how many applications are processed within a specific time range, the success rate, and the correlation of their performance metrics, such as slowness or error rates, with their business outcomes.
For example, yesterday, they released a new application update to address performance issues. Today, we are monitoring their application performance. After this release, their performance went down, response time increased, and success rate decreased. By measuring these performance metrics, their C-level executives and business teams can correlate these performance issues with business impact.
Normally, there’s a baseline, for example, on Wednesday from 10 AM to 11 AM, where they process ten loan applications per minute. If this release negatively affects the business, they can see that response time is increasing, error rate is increasing, and it is impacting their loan applications. So, instead of processing ten applications per minute, they might only process five or three. They can easily measure this impact on their business.