Curated articles, resources, tips and trends from the DevOps World.
Web development platform Netlify acquired visual editing solution Stackbit on Thursday. Netlify said the acquisition expands its product portfolio, “empowering marketers and product managers with the ability to design, create and edit experiences within composable platforms.”
Given that I reviewed the code editor Zed a few weeks ago, it should not be too surprising that I look at the older sister project: Warp. Like Zed, Warp is written in Rust and effectively has its own GUI to ensure speed.
As a professional Python developer with years of experience under my belt, I appreciate the language’s versatility, readability, clear syntax, and general ease of use. As you already know from my previous posts on the topic I’ve always loved the simplicity and elegance of Python.
Containers, large language models (LLMs), and GPUs provide a foundation for developers to build services for what Nvidia CEO Jensen Huang describes as an “AI Factory.
APIs are a cornerstone of the modern internet, serving an endless variety of use cases and making it possible to integrate and communicate between systems and applications. A large subset of these APIs is what we call “data APIs”: APIs that enable access to a database through structured queries.
StormForge sponsored this post. StormForge is under common control with TNS. As organizations increasingly adopt Kubernetes for their infrastructure, understanding and optimizing its performance becomes vital.
With the rise of generative AI, the top hyperscalers — Amazon Web Services, Google, and Microsoft — are engaging in yet another round of intense competitive battles. Generative AI needs massive computing power and large datasets, which makes the public cloud an ideal platform choice.
This is the second in a five-part series. Read Part 1 here. In this series we learned what eBPF is, the tools to work with it, why eBPF performance is important and how to track it with continuous benchmarking.
When you think about artificial intelligence (AI) and machine learning (ML), the OpenStack Infrastructure as a Service (IaaS) cloud, and its object storage component, Swift is not the first technology to come to mind.
We’re fond of saying that there’s no artificial intelligence without data. But it can’t be any kind of data. Take large language models, or LLMs — deep learning models, like OpenAI’s GPT-4 that can generate text that’s quite similar to what a human would write.
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