In the last few years, there has been a lot of movement around new and exciting PHP testing tools. While this is great news, stepping back a little and understanding the underlying concepts before jumping in is vital to writing great PHP tests. When we talk about testing tools and methodologies, we're referring to automated testing tools. Writing code that tests your PHP apps is a great way to build confidence that your application will behave as you expect.

In an era dominated by mobile apps, desktop applications remain vital across numerous industries. From gaming to enterprise solutions, tracking desktop app performance, user behavior, and feedback is crucial. While mobile tracking is a well-established practice, companies also need to pay more attention to the importance of desktop tracking. Despite the importance of desktop applications, many analytics platforms remain heavily focused on mobile tracking.

In the world of LLMs, size doesn’t matter. It’s how you generate output that counts. Generative AI (GenAI) adoption rate in organizations jumped from 33% to 65% this year, which means if your organization isn’t leveraging AI, it’s time to get on board or get left behind. One powerful way enterprises are leveraging GenAI is by training and deploying private Large Language Models (LLMs).

If you’re at all familiar with APIs, you know that REST APIs are the main API used, particularly when it comes to microservices and their applications. gRPC is a high-performance, binary, and strongly-typed protocol using HTTP/2, while REST is a simpler, text-based, and stateless protocol using HTTP with JSON/XML.

Testing is a critical aspect of software development, as it ensures your application works as intended and meets quality standards. In Node.js, testing is essential for the early detection of bugs in public endpoints. However, there are many challenges associated with testing in Node. External dependencies, asynchronous operations, and several possible input scenarios make writing tests a daunting task.

As a follow-up to our recent Kong Insomnia v10 release that shipped with an unlimited and free Collection Runner and one week after announcing our official SCIM support for automated user provisioning, we're now excited to announce Insomnia v10.1. This release ships with the general availability of the CLI to use the Collection Runner with CI/CD automation, a new in-app invite wizard that simplifies working with collaborators, and many other improvements.

Some of the popular AI tools people and corporations are using now include ChatGPT, Google Gemini, and Microsoft Copilot. This has resulted in higher usage and adoption of this technology and this has caused some worry among people, particularly in terms of employment. However, for software testers, these changes should be seen as a chance to improve rather than a threat.

In today’s fast-paced world, operational efficiency is paramount for businesses striving to stay competitive. The ability to manage time and resources effectively directly impacts overall performance. Our recent tech paper on – ‘Maximizing Efficiency by Real-Time Detection of Beacon Check-In Delays’, highlights how real-time detection technologies can revolutionize industries by identifying and mitigating inefficiencies caused by delays in beacon check-ins.

Lambda functions in Python are a powerful way to create small, anonymous functions on the fly. These functions are typically used for short, simple operations where the overhead of a full function definition would be unnecessary. While traditional functions are defined using the def keyword, Lambda functions are defined using the lambda keyword and are directly integrated into lines of code. In particular, they are often used as arguments for built-in functions.

BigQuery history-based optimizations learn from similar queries to identify and apply additional improvements to the query execution.