Historically, performance engineering focused on the impact of increasing load and measured latency. Security engineering, by contrast, targeted classical adversarial manipulations of systems. In fact, system risks span a much broader spectrum and depend on load, Latency, Capacity, Configuration, and Threat.

Open Financial Services (OFS) is the language T24 uses to communicate with itself and the outside world. You can send a transaction in the OFS format to T24 and receive the response in the same standardized OFS format. In this blog, we will explore how to create an OFS string and test the posting of a transaction.

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

The Close of Business (COB) is a daily operation and a vital component for any banking institution. Many common issues can be swiftly assessed if we have an appropriate monitoring system established on our dashboard. With our fastpack services, we provide you with the majority of the details related to COB. In this blog, we will explore how these details can assist in the analysis of COB-related issues.

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

Measuring what you need to measure and having the flexibility to enhance a report with additional data are vital tools for creating test reports that contain the information needed for a proper evaluation of a test execution.

As a performance engineer, I have witnessed many presentations of impressive numbers

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 Cyber Security Maturity Model (CSMM) is an AI-driven, benchmark-oriented framework designed to measure, compare, and continuously improve an organization's operational security capabilities against industry peers using evidence-based validation and telemetry data. The Gobenchmark model integrates advanced security practices, including Zero Trust, operational resilience, and AI-driven analytics, to continuously verify and benchmark an organization's actual security posture

The better organizations get at performance engineering, the more it can look like it isn’t needed at all.

In a randomized controlled trial, METR invited developers to complete 246 tasks. Despite believing AI improved their speed by 20%, these developers actually took 19% longer to finish tasks when using AI. AI helps with specific tasks, such as pattern matching and report summarization, but in areas like performance engineering, experienced engineers can outperform AI due to their specialization and intuition. This highlights situations where human expertise still surpasses AI i

The Temenos Data Hub (TDH) was originally created for data extraction purposes and has since been enhanced to serve as a real-time data management solution, equipped with the ability to integrate with external tools.

This guide explains the configuration needed for Warmup and provides details about the supported applications. Warmup is used to accelerate the first transaction in a session.

Security testing prevents breaches, protects user data, and builds trust by catching vulnerabilities before attackers do.

We all appreciate fast and secure systems, but increased security does not necessarily improve performance continuously. One prominent example is multi-factor authentication. This extra step is protecting users from password-related attacks, but at the same time, it creates more friction and increases the duration of the login procedure.

Sacrificing Security to improve performance is a dangerous game. Ronin Network learned a bitter lesson by reducing the validator nodes to 9 and failed to discover that adversaries controlled the majority, allowing them to approve their fraudulent transactions.

Performance engineering provides high value for those who explore it.

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

In today’s fast-paced world, software must run smoothly and quickly, with no exceptions.

Let's explore some real-world applications to illustrate the impact of AI and ML on performance engineering.