Application Monitoring: solutions to optimize your business

A proper application monitoring system cannot do without automated testing. Without it, the company cannot consider the implications for new software performance releases and how they may impact previous functionality. Furthermore, the organization risks going into production with inadequate software.

A company active in the provision of digital services for individuals and businesses needed support to improve Quality Assurance and thus also improve the quality of its software by introducing automated testing, particularly end-to-end testing.

Sorint.Lab responded by fully addressing the requests and challenges that arose. Now the customer can produce automated tests independently and, thanks to the user-centric approach, even less technical users can create new tests and modify existing ones.

 

Case Study: Application Monitoring solutions in action

The company’s main problem was extensive because it involved a total lack of expertise and know-how on how to configure and create automated tests.

In particular, the company was unable to assess the impact of new features on existing code and perform analyses of the end-user experience.

This means that:

  • There was no expertise in how to create automated tests
  • There was no methodology
  • Therefore, there were no automated tests in place

The testing absence also meant that application performance could not be verified, and as a result, the company felt it was unable to keep up with its competitors. The focus on user experience was therefore the compass that guided the entire project, as well as the main benefit that the customer expected.

In addition to automated integrating testing, the customer also wanted to integrate internal skills that would be useful for customizing tests according to future needs.

 

Successful examples of Application Monitoring: the SORINT.lab solution

To meet customer needs, Sorint.Lab has configured over one hundred use cases that simulate end-user input combinations. In particular, Sorint.Lab focused on two types of tests: end-to-end and regression. In the first case, all functionalities are verified, while in the second, the verification serves to assess that those functionalities continue to work as expected following the introduction of new updates.

To automate testing, Sorint.Lab used a free, open-source tool that allows navigation to be defined using JavaScript and then all tests performed up to that point to be executed.

This also made it possible to integrate additional unit testing and integration test assessments.

 

The entire project was guided by Behaviour-Driven Development (or BDD), a type of development that allows everyone in the company, even those with less experience, to configure new tests easily and intuitively.

The BDD system makes it easy to understand the scenario, context, actions to be performed, and final result. Now people of any technical level can write files that are then interpreted by the test automation tool, allowing even individual parts of the tests to be implemented.

The main difficulty was assessing the correct number of tests to be performed within a set time frame: tests that were too long would have compromised the verification of the cause of the error; tests that were too short would have been insufficient.

Sorint.Lab configured the size of the tests so that the customer could continue to perform monitoring operations in the future, maintaining high quality and frequency without compromising on the securety.

 

Automated end-to-end testing and in-house know-how

Sorint.Lab’s intervention fully met the customer’s needs, who can now rely on an automated and expandable testing system. In particular, the new app monitoring situation now provides for:

  • Various applications are covered by testing
  • The BDD methodology has been implemented
  • The company has assimilated the know-how.

This means that customers now have a high level of independence in configuring new tests, based on the new features integrated into the application and additional parameters to be verified.

Above all, customers can now be sure that they will reach the production phase with software that has no bugs and guarantees ideal performance for a successful user experience.

 

Discover Application Monitoring: Overview and Requirements

L’APM (Application Performance Monitoring) is essential in the digital age, where applications support critical business processes. An effective APM strategy allows you to monitor and optimize application performance, ensuring a smooth user experience and improving operational efficiency. It includes end-to-end application monitoring, from the front end to the backend infrastructure, including servers, databases, and the network. APM is essential for quickly identifying and resolving performance issues, avoiding service interruptions, and ensuring business continuity.

 

Key Application Monitoring Solutions

Key Application Monitoring solutions must include real-time detection capabilities, in-depth analysis, and customized reports. These features allow you to quickly identify performance bottlenecks and take action to resolve them. APM tools should also support integration with various environments and platforms, including on-premises, cloud, and hybrid systems. An effective APM solution provides detailed transaction analysis, application dependency monitoring, and intuitive visualizations of overall performance.

 

Description of key application monitoring solutions

Key application monitoring solutions offer a range of features to support comprehensive and flexible application performance management. These include in-depth transaction analysis, which allows you to view the complete path of a transaction through the application and underlying IT infrastructure. Other key features include real-time performance analysis, identification of problems and anomalies, and integration with alerting systems to notify IT administrators of emerging issues. Advanced APM solutions also offer machine learning and artificial intelligence capabilities for better problem prediction and prevention.