Ranged metrics are measurements of one value that are split into buckets based on another value, for example: Measure response time by the count of items in the response. Measure response time based on response size. Measure correlation between response size and request size. Output Example A measurement created in buckets results in multiple metrics having a range appended to them. Here is an example of such metrics, which measure the response time based o

As a Software Engineer, having load test measurements presented clearly while remaining flexible enough to provide all the information needed to evaluate test execution is crucial. Many load testing tools struggle with reporting and end up creating only one type of report that minimizes how you can use and analyze your data. Performator solves these issues in the following ways: Using an extensible reporting framework that allows you to write your own reporters a

Temenos Payment Hub (TPH) is a sophisticated payment module designed to streamline the posting and processing of transactions. TPH is made up of two modules: PP, or payment processing, which is an end-to-end payment process from start to finish, and PI, or payment instruction, which is used to set instructions for executing the payment. The banks must choose both modules to fully deploy TPH. We must perform functional testing and related regression testing to test the TPH

Have you ever needed a simple way to load test your database or check a lot of SQL statements with different test data to see how well your queries execute? Performator version 1.2.3 comes with an easy-to-use interface that simplifies load testing using SQL queries. Maven dependencies You will need to define the dependencies that contain the JDBC driver for your database, for example, Postgres: <!-- https://mvnrepository.com/artifact/org.postgresql/postgresql --> <dependenc

The flexibility to measure any Java code execution while running it as a load test is one of the key features of Performator. Many other tools either require plugins to support what you want to achieve, need a cumbersome workaround, or not function at all.

As we’ve seen in previous posts, Performator is a powerful tool that allows us to measure the performance of our core banking system in a highly customizable way. In this post, we’ll walk through a simple, practical example of how to use Performator in a T24 environment.

Performator is an innovative technology designed to measure, analyze, and report the performance of your software systems. Its application with Temenos Transact (T24) is especially valuable, as it enables accurate evaluation of core banking behavior under different load conditions. Performator is an open source tool that allows you to simulate load operations and obtain detailed performance metrics. It is focused on stress testing, load testing, and capacity analysis, helping

As nearly all modern applications evolve into distributed and microservices-based architectures, performance testing has become both more critical and even more complex. While cloud-based, shared load generators offer convenience, they often fall short in areas such as security, network control, and performance predictability—especially for enterprise systems.

Gatling or K6? I tested both with the same setup here’s how they compare in setup, reporting, and performance.

Performance testing ensures your app runs fast and stays stable even when users flood in.

Discover the observability-first approach to performance testing, uncovering bottlenecks and creating realistic, data-driven test scenarios.

Refining performance testing for an authentication page with Gatling workload modeling, realistic scripts, and in-depth analysis.

The goal was to see how well ChatGPT could handle multiple interactions, especially when each question varied in complexity.

Dive into Apache JMeter for performance testing.