In today's financial services landscape, the need for speed is paramount. Traditional financial processes are no longer sufficient to meet the demands of modern consumers and businesses. The synergy of three emerging technologies promises to expedite financial services processes: By implementing a data fabric, financial institutions can break down silos, enabling data to flow freely across the organization.

GitLab SAST is a combination of GitLab— an integrated solution that covers the entire DevOps lifecycle — and, Klocwork — a static code analysis and SAST tool. When used together, these tools provide software development teams with a powerful GitLab SAST solution. Here we explain the benefits of GitLab SAST.

PHPs compiler and bytecode cache OPcache not only cache the compile step from PHP source code to virtual machine bytecode, they also include optimizations that can produce faster bytecode: For example PHP can: For PHP 8.4 Tideways sponsored the work of our colleague Tim to add another compiler optimization for the function sprintf().

When building web applications in PHP, there may be times when you want to add metadata to annotate your code that can be read by other parts of your application. For example, if you've ever used PHPUnit to write tests for your PHP code, you'll have likely used the @test annotation to mark a method as a test in a DocBlock. Traditionally, annotations like this have been added to code using DocBlocks. However, as of PHP 8.0, you can use attributes instead to annotate your code in a more structured way.

Welcome to the June 2024 edition of the Katalon product roundup! We’re excited to bring you the latest updates and features designed to enhance your testing experience and streamline your processes. In this release, we have some game-changing features across Katalon Studio, Katalon Recorder, and TestCloud. Let’s dive into the details!

According to StackOverflow’s 2022 survey, 46% of professional developers rate MySQL as the most popular database to use in the workspace. As programmers, we should not be bothered with repeatedly writing code which is otherwise readily available, robust, and well-tested. Yet this problem remains persistent in the REST API space, despite the implementation process being by this point in time rote, repetitive, and prone to error and oversight. This oversight is costly for several reasons.

Background job processing is integral to modern software architecture. Background jobs allow resource-intensive tasks to be handled asynchronously, improving your application’s responsiveness and efficiency. You can use background processing for tasks such as sending emails, data processing, and batch jobs. If you were to run these synchronously, they could significantly degrade the user experience and system performance. Thus, most frameworks have libraries for running background jobs.

Generative AI has received the lion’s share of the press. With good reason—it’s revolutionizing the way we do work and do business. But it’s not the only game in town. Predictive AI also places a role across enterprise use cases like demand forecasting, maintenance, and customer experience. This blog will discuss these two types of AI: generative AI and predictive AI.

In a world where microservices have become very popular, the connectivity aspects between systems take center stage when it comes to prioritizing quality engineering. Postman's State of API report highlights that technical and non-technical stakeholders recognize the growing importance of APIs and their testing as part of the enterprise strategy.