Systems | Development | Analytics | API | Testing

At Koyeb, we provide high-performance serverless infrastructure for intensive applications across CPUs, GPUs, and accelerators. We take code, build it, and run it in fully isolated, secure microVMs on bare-metal servers around the world. We scale automatically when needed, down to zero when idle, with cold starts as low as 250ms. Over the past few months, we’ve been working with an increasing number of teams using Koyeb to orchestrate and run AI-generated code at massive scale.

Each year, right on schedule, a new version of PHP is released at the end of November. So, how much faster is this new release across popular frameworks and applications? Our tests show that, in general, the performance between 8.2, 8.3, 8.4 and 8.5 does not move much for a Laravel, Symfony and WordPress demo application. Moving to the newest PHP version isn’t a magic shortcut to better performance. Not everything is bleak, though.

In late 2024, Tricentis embarked on its own SAP transformation — migrating from NetSuite to a greenfield implementation of SAP S/4HANA Finance. This blog kicks off a series that will follow Tricentis’ migration journey, from planning and implementation through to outcomes and impact.

AI testing careers are shifting in ways that most people in QA are not fully prepared for, and the changes are creating opportunities that did not exist even a few years ago.

Hi everyone, my name is Bailey Ahrens, and I’m a marketing intern at Speedscale! I just returned a few days ago from KubeCon + CloudNativeCon North America 2025. While it was only my second trade show, it felt like a huge step forward in my confidence, skills, and future direction. My first conference (API World) was all about stepping outside my comfort zone. KubeCon was where I started leaning into that confidence and finding my place in the tech community.

Quality Assurance (QA) teams must run extensive tests to ensure that a website or application performs as intended before release. However, rather than manually running these tests, which can hinder productivity, modern teams are using QA automation. By automating QA testing workflows, teams can rapidly execute these tests using standardized processes, frameworks, and software. Developers can quickly fix any errors and deliver high-quality code so that product teams can speed up release times.

As modern applications grow more complex and API-driven, maintaining test stability becomes increasingly challenging. Many QA teams struggle to manage scattered test scripts and inconsistent environments, leading to inefficiency and missed defects. The real solution lies in adopting a structured automation framework that brings order, scalability, and speed to the testing process. In an API-first setup, it helps teams validate functionality continuously and collaboratively.

The SmartBear community is made up of curious, collaborative builders. They’re developers, testers, creators, and innovators who every day are experimenting with new technologies, customizing workflows, and solving complex problems.

AI systems change faster than traditional QA models can react, which means quality risks now emerge in real time rather than at release.

When building modern React applications that need to interact with existing enterprise infrastructure, organizations often face several challenges.