Systems | Development | Analytics | API | Testing

We are excited to announce the release of the Ably Kafka Connector 3.0. Version 3 brings a host of improvements, including: Overall, the Ably Kafka connector v3.0 makes the management of Kafka pipelines extension to millions of web and mobile users simpler and more reliable.

In part one of this series, we introduced the core generated components when bootstrapping a new Phoenix project. We used a button and a modal from the core components to lay the groundwork for a "create modal". In this post, we will put a form onto the modal and create pets. Let's get started! Note: As in the last post, you can follow along with our companion repo.

AI has reshaped the landscape of almost every industry around the world, and the software testing industry is no exception. The emergence of AI-powered tools for test automation has changed the way QA teams approach their testing activities. This article walks you through the new ways that you can leverage AI testing tools and lists the top 7 best AI testing tools that can bring your testing game to the next level.

Artificial intelligence (AI) has revolutionized the way we do quality assurance (QA). The immense value that AI brings to optimizing testing processes and enhancing efficiency simply can’t be ignored. Organizations that know how to incorporate AI into their testing will gain a strong competitive edge against their competitors.

End-to-end (E2E) testing is an important part of the software development process, serving as a comprehensive way to verify that applications and systems work properly in real-life scenarios. It provides a level of assurance that your application will correctly exhibit behavior from start to finish.

Today, APIs are based on modern communication patterns: REST, GraphQL, or gRPC. But two decades ago, the majority of Web Services were developed with SOAP/XML. In this blog, we’ll explain how Kong Konnect can manage SOAP/XML Web Services by creating custom plugins and by using ChatGPT. We’ll cover using ChatGPT to develop a Lua custom plugin and how to deploy and test a SOAP/XML custom plugin on Kong Konnect and Kong Enterprise.

In the fast-paced world of software development, identifying and reporting defects is the core responsibility of testers. It's common to become familiar with the application you are testing and develop blindspots that hinder your ability to identify and investigate defects. One of the reasons for this to happen is that you rely on scripted testing only.