Most modern small and large companies build their business based on IT systems. We constantly hear about web applications, mobile “apps,” “clouds” and various other services.
Today’s network (internet and intranet) is mostly a communication medium between data sets, applications, and users.
Today, the internet is fast and reliable. Most users have a permanent, often fiber-optic connection, where bandwidth reaches one gigabit (1GB).
So why do so many users complain about slow applications, crashes, or problems with unrealized requests/tasks?
To answer this question, we need to understand how modern applications are built.
Modern applications are complex. To display a page in a browser on a phone or laptop, a request must “pass through” several application layers – e.g., the graphics layer, business logic layer, integration layer, or data layer. Each of these layers consists of several or dozens of application servers. Each application server contains several applications, and these consist of hundreds of thousands of Java classes.
Let’s imagine, for example, that in class #10108, a programmer coded suboptimal code. Class 10108 therefore generates a delay (long execution time), which translates into application server delay. Server delay (several, dozens of seconds) translates into delay of the entire layer (e.g., business logic), and consequently into user frustration “because again nothing works, works slowly, or doesn’t do what it should.” Of course, the example is greatly simplified.
For example, let’s consider a typical airline ticket booking application. It should be noted that electronic reservation systems currently have a majority share in total reservations. The user tries to make a reservation for a flight. Here is a list of problems they may encounter:
- Cannot load the page (problem on the airline’s servers)
- Cannot search for flights (problem on the airline group’s servers)
- Cannot pay with a card (problem on the credit card operator’s side)
- The application runs very slowly
- The application “freezes” during, e.g., payment
Does the support department operating the reservation system at the airline know about these problems immediately? Will they find out when several frustrated passengers start calling (generating additional personnel costs) the call center?
Assessing the “state” of data processing in IT systems is a critical task. Administrators managing applications should have insight into critical metrics reporting load and quality of individual queries directed to the system. Why?
To proactively respond to situations of slowdowns, errors, and other factors causing problems.
Proactive performance management allows for dynamic changes in application parameters and consequently does not lead to, e.g., failures.
Another problem with an application is its availability. If a failure occurs, diagnostic information generated at the time of failure or a history of diagnostic metrics must help shorten the time needed to identify/remove the problem, so as to eliminate failures in the future and consequently increase application availability.
And that’s exactly what Flopsar is for
Flopsar is a tool for continuous examination of the quality and availability of IT systems. Included in an application, it shows its weaknesses, processing errors, and points to potential optimization areas. It monitors availability and response times so that IT services can react before a potential failure occurs. It reports every transaction executed on the examined application server.
Flopsar revolutionizes the approach to application performance management by completely eliminating the need to browse hundreds of dashboards and unnecessary data.
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