With all of the excitement around Arm’s high performance processors, which are optimized for AI, our team wanted to test how easily ClearML would work with GPUs paired with Arm-based CPU compute when compared to GPUs combined with x86 chips.

One of our recurring jobs at Tideways is to ensure that all of our instrumentation works with the new and upcoming PHP versions. For us, “working” doesn’t just mean that the results are correct, but that your PHP extension is fast, gathering insights for our customers with a minimal performance overhead.

Version 15 of OctoPerf bring a huge focus on continuous integration and Devops practices. We've taken steps to highlight existing integrations, add many others and we've thrown an entirely new report type on top of it.

It’s Day 2 of our Launch Week, and we’re excited to unveil our new networking stack! If you're following us, you know that we're obsessed with performance: we want fast deployments and a speedy network once your apps are live. Long story short: while working on optimizing deployments speed, we hit limitations with our old stack, we decided to revamp everything and built a new networking stack for the platform.

API testing is critical to modern software development, ensuring that applications communicate seamlessly and function as expected. However, setting up testing environments that accurately mimic real-world conditions can be complex, time-consuming, and costly. APIs often change, and dependencies on third-party services or backend systems can delay the development process, making it challenging to conduct reliable tests in real-time.

In Japan’s FANUC robotics factory, rows of automated machines efficiently carry out repetitive tasks that humans once performed. Remarkably, the factory can run autonomously for up to 30 days without human supervision. Hirotec Manufacturing eliminated manual inspection time to 100% by integrating cloud technologies, IoT, and small servers on the factory floor. The Siemens plant in Germany offers online monitoring capabilities for machine tools distributed worldwide.

When developers build applications, they need to think about how they will connect their products to data sources. Direct database access vs. REST APIs: which should you pick? Both currently stand out as two of the most popular options. Let’s explore the pros and cons of each so you can determine whether API-led connectivity serves your needs.

As software systems grow more complex, ensuring reliable performance and delivering a seamless user experience becomes increasingly challenging. Product teams need the ability to track and analyze system behavior in real-time, allowing them to address issues before they affect users. Product observability offers a proactive approach, enabling teams to gather data, monitor system health, and make informed decisions based on a complete view of both infrastructure and user interactions.

From sourcing raw materials to delivering finished goods, the pharmaceutical supply chain involves many complex steps, each of which must be carefully managed to maintain product safety and compliance with strict regulations. Improving logistics processes helps ensure speed and quality across the supply chain, leading to better outcomes for both the industry and patients alike.

As one of the most widely used libraries in the Python ecosystem, pandas helps developers analyze, load and transform data across data science, data engineering and machine learning. The flexibility and ease of use of the pandas API have driven rapid growth in popularity, with pandas being used by one in every five developers, according to the StackOverflow 2024 Developer Survey.