Security teams are still catching malware. The problem is what they're not catching. More attacks today don't arrive as files. They don't drop binaries. They don't trigger classic alerts. Instead, ...

Cybersecurity researchers have discovered vulnerable code in legacy Python packages that could potentially pave the way for a supply chain compromise on the Python Package Index (PyPI) via a domain ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...

In this tutorial, we walk through an advanced yet practical workflow using SpeechBrain. We start by generating our own clean speech samples with gTTS, deliberately adding noise to simulate real-world ...

Google DeepMind recently released GenAI Processors, a lightweight, open-source Python library built to simplify the orchestration of generative AI workflows—especially those involving real-time ...

Authorize to a Jenkins server, such as https://ci.adoptium.net/ Accept an identifier for a pipeline run (pipeline name + run number) For example, the pipeline run ...

Create a Python script in the scripts/ folder called get_spawned.py that will look at the console output of one Jenkins pipeline run and discover pipeline runs that were initiated during that pipeline ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

Abstract: The data production rate of future telescopes like LOFAR2.0 and SKA will require processing pipelines with high computational performace and a large degree of automation and configurability.