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Prettier and ESLint have long been indispensable tools in the JavaScript ecosystem for ensuring code consistency and quality. They have become staples in the toolchains of JavaScript projects worldwide. However, a new player has emerged to challenge their dominance: BiomeJS. This ambitious project seeks to combine the functionality of both tools into a single, high-performance solution for code formatting and linting.

By Erez Schnaider, Technical Product Marketing Manager, ClearML In a previous blog post, we laid the foundations for understanding multi-tenancy in GPU-access infrastructure and highlighted its critical importance. In this post, we’ll dive into ClearML’s approach to achieving secure and efficient multi-tenancy. At a high level, multi-tenancy refers to the ability to share a single resource pool, typically GPU or CPU clusters, across multiple, logically isolated entities known as tenants.

In this article we’ll learn about Apple’s MapKit framework. MapKit is the native way to include map views in our iOS application to display map or satellite imagery. It is quite useful for any map-centric view and to show coordinates, annotate on them with a custom annotation, or just generally view world locations or specific map features. This article will be very hands-on and will include several examples on how things are done using MapKit and the mapkit api.

March brought significant updates to Katalon Studio and TestOps, focusing on improved Jira and Azure DevOps integration to boost workflow efficiency and deliver more actionable insights. Here’s what we did in March.

New features ship weekly. Designs change overnight. Releases go out daily. But speed comes with risk, and when your UI is broken, users don’t care why. They just leave. That’s where automated UI testing comes in. Done right, it protects the user experience without slowing you down. Done wrong, it becomes flaky, expensive, and hard to maintain.

When it comes to testing in Python, two popular frameworks often come into play: unittest vs pytest. Choosing the right one can make a big difference in how you write, run, and maintain your tests. In this blog, we’ll explore what sets these two apart and help you understand which one might be better suited for your project. We’ll look at the features and differences between unittest and pytest, so you can make an informed decision.

While quantum computers promise to solve many problems that cannot be solved (efficiently) on a classical computer, they are a serious threat to security at the same time. We describe why this is the case, how broad this threat is, and how this threat is currently countered. This implies making quantum-safeness an integral aspect of an organization’s IT strategy.

APIs are transforming how manufacturers achieve ESG (Environmental, Social, and Governance) goals by simplifying data collection, real-time monitoring, and reporting. Here's how they help: For example, companies using REST APIs have cut compliance costs by up to $45,719 per implementation and reduced risks by 99%. Whether you're monitoring carbon emissions or ensuring supply chain accountability, APIs make ESG integration seamless and efficient.

Concurrency testing is a form of software testing that simulates multiple users or systems performing operations simultaneously. Its purpose is to verify that your application behaves as expected under concurrent loads, ensuring stability, reliability, and performance. This type of testing is particularly critical for applications such as e-commerce platforms, social media sites, or any service where multiple transactions occur at the same time.

If you’re aiming to simulate real-world user behavior in your performance tests, Apache JMeter’s ability to utilize CSV data files is a game-changer. Whether you’re a business owner seeking to understand your website’s capacity or a developer fine-tuning application performance, leveraging CSV files in JMeter can enhance the realism and effectiveness of your tests.