Systems | Development | Analytics | API | Testing

Traditional test automation usually needs a lot of coding skills, which makes it take heavy resources time-consuming, and unscalable. In an increasing rate of software development speed, QA teams have to adhere to the fast release cycle while still maintaining the quality. This is happening now, and by 2025, low code and no code test automation will be the center of QA. But why? What drives these companies to jump into such new, relatively unstable platforms?

Keeping your Node.js version up to date is essential for security, performance, and access to the latest features. New releases often include bug fixes, optimizations, and improvements that can enhance your development workflow. If you're using macOS, there are several ways to update Node.js. In this guide, we’ll walk through different methods, including Homebrew, Node Version Manager (nvm), and manual installation.

Keeping your Node.js version up to date is essential for security, performance, and access to the latest features. New releases often include bug fixes, optimizations, and improvements that can enhance your development workflow. If you are running a Linux system, there are several ways to update Node.js. This guide will walk you through multiple methods, including using a package manager, Node Version Manager (nvm), NodeSource distribution binaries, and manually downloading the latest version.

High-scale, high-frequency messaging and burst activity can lead to significant costs and performance challenges for realtime applications. Trying to solve for these spikes places additional cognitive load on development teams, slowing down development times. And because of this, all too often, developers have to shelve adding new features to their product. To solve this issue, we've introduced a powerful and simple-to-use cost optimization feature into Ably Pub/Sub: server-side message batching.

With just two months to go until the deprecation date for Microsoft Visual Studio App Center, it might feel like there’s a mountain to climb. However, with a clear plan and the right resources (spoiler alert: free templates here or at the end of this post), you can turn this challenge into a success story. Let’s get going.

In the ever-evolving landscape of data streaming and processing, securing and efficiently connecting services has become paramount as it ensures the integrity, confidentiality, and availability of data amidst increasing threats and complexity in cyber environments. Effective security measures must protect against data breaches and losses, fostering trust among stakeholders and complying with legal and regulatory standards.

By using a continuous quality approach, retailers can build high-converting mobile apps that shoppers will love.

Pickers enable Android developers to minimize error-free input and optimize everyday features of their apps, such as date selection, delivering crucial gains in user experience. Users can validate input data by pressing a single button, and ensure structured input without any typing errors (in fact users don’t need to type an input at all). And we can customize the picker to our specific needs, creating better UI for our users.

Advances in medical robotics and healthcare technology — enabled by the Internet of Medical Things (IoMT), Machine Learning (ML), and Artificial Intelligence (AI) — mean that we are already seeing less invasive procedures, more accurate diagnoses, and more personalized treatment options for patients. But these innovations depend on software which brings increased safety and security risks.

Using a mock server is a popular method of working around these limitations and realities, allowing you to test web server assets against specific requests, ensuring that your response data matches the expected outcome. Today, we’re going to look at a powerful solution for Python clients in the form of MockServer. We’ll walk through the tool’s basics and learn how to use it for your own testing.