Operations | Monitoring | ITSM | DevOps | Cloud

GenAI is everywhere, and it’s changing how we approach technology. If you’ve ever wanted to dive into the world of large language models (LLMs) but felt intimidated, there’s good news! Hugging Face recently launched a self-paced course that’s perfect for beginners and more experienced enthusiasts alike. It’s hands-on, approachable, and designed to work on standard hardware thanks to the small footprint of the models.

It’s time to stop proclaiming that “cloud native is the future”. Kubernetes has just celebrated its 10 year anniversary, and 76% of respondents to the latest CNCF Annual Survey reported that they have adopted cloud native technologies, like containers, for much or all of their production development and deployment. Cloud native isn’t the future – it’s here and now. Data-intensive workloads are no exception.

Technology procurement directly influences business success. The equipment you procure will determine how your teams deliver projects and contribute to your success. So what does being “well-equipped” look like in the world of Linux laptops? In this blog, we’ll lay down the best practices for procurement professionals who have been tasked with procuring Linux laptops.

One of the most critical gaps in traditional Large Language Models (LLMs) is that they rely on static knowledge already contained within them. Basically, they might be very good at understanding and responding to prompts, but they often fall short in providing current or highly specific information.

What is patching automation? With increasing numbers of vulnerabilities, there is a growing risk of cyber incidents, attacks and breaches. It’s more important than ever to ensure that your systems are protected 24/7. Patching is a vital step in any vulnerability management process.

In a 2020 paper, Patrick Lewis and his research team introduced the term RAG, or retrieval-augmented generation. This technique enhances generative AI models by utilizing external knowledge sources such as documents and extensive databases. RAG addresses a gap in traditional Large Language Models (LLMs). While traditional models rely on static knowledge already contained within them, RAG incorporates current information that serves as a reliable source of truth for LLMs.

OpenSearch is an open source search and analytics suite that developers use to build solutions for search, data observability, data ingestion, security information and event management (SIEM), vector database, and more. It is designed for scalability, offering powerful full-text search capabilities and supporting various data types, including structured and unstructured data. OpenSearch has rapidly developed into a standalone platform with unique features and capabilities.

Today, computers are more sophisticated, interconnected and complex than ever. This means they’re more capable than ever – but it also comes with a downside: that their attack surface is larger than ever, leading to an elevated risk of cyber incidents. Therefore, your approach to managing vulnerabilities needs to be holistic and prepare for all the ways in which vulnerabilities could cause damage to users, systems or your organization’s operations and reputation.

In the wake of EU drafted legislation and US executive orders, a software bill of materials (SBOM) has gone from a nice-to-have to a fundamental piece of software documentation. In this article, we’ll examine what an SBOM is, what information it must include, and the approaches that developers and manufacturers alike should consider as they start building their SBOM.

I always find the Olympics to be an unusual experience. I’m hardly an athletics fanatic, yet I can’t help but get swept up in the spirit of the competition. When the Olympics took place in Paris last summer, I suddenly began rooting for my country in sports I barely knew existed. I would spend random Thursday nights glued to the TV, cheering on athletes as they skillfully let fly arrows, disks, hammers and so on.