Platform engineering has changed how organizations develop, deploy and manage applications by streamlining processes, improving efficiencies and fostering collaboration. As organizations now look to integrate generative AI (gen AI) as quickly and as often as possible - platform engineering is proving to be critical to setting organizations up for success in adopting and implementing these groundbreaking new technologies.Our inaugural State of Platform Engineering in the Age of AI report examines trends, challenges and best practices from industry practitioners to help us to better understand h

For enterprise IT teams, complexity often grows faster than the time, budget and expertise on hand to manage them. Red Hat Enterprise Linux 9.5 (RHEL), the newest version of our industry-leading operating system, is for organizations and people wrestling with those growing complexities. RHEL 9.5 tames complexity across your IT organization with new features that reduce developer delays, amplify the abilities of sysadmins, protect essential workloads and simplify operational security.Equip developers to ship fasterNearly every organization struggles to give developers what they need to create t

Congratulations to Docling for climbing the charts to be one of GitHub’s top repos of the month!Organizations have lots of data, from their intellectual property and knowledge to marketing, sales and customer data to operations policies and procedures and much more. The challenge isn’t collecting the data or generating documents; it’s extracting meaningful insights from it. Actionable insights can lead to better customer service, faster time-to-customer value, smoother operations and so. Generative AI (gen AI) promises to bridge this gap, turning the mountain of organizational data into

Red Hat OpenShift Dedicated clusters on Google Cloud now support Workload Identity Federation (WIF) which is used to authenticate, authorize and access Google Cloud resources without the need for static credentials. This allows OpenShift Dedicated clusters to be deployed with short-lived, least privilege access credentials, reducing the need for maintenance and the security burden associated with the identity and access management (IAM) service account keys.This article gives a short overview of Google CloudWIF and explains how it helps overcome the challenges around the use of long-lived cred

While Red Hat OpenShift was built with observability in mind, the number of alerts that you can receive can be overwhelming. A high number of alerts can be generated by a small number of issues which leads to a burst of many alerts.Your Red Hat OpenShift subscription now includes access to an Incident Detection capability that uses analytics to group alerts into incidents and help you quickly and easily understand the underlying issue and how to address it. To learn more about the OpenShift Incident Detection capability and how to use it, read the full blog.To learn more about Insights visit

Red Hat OpenShift 4.17 is now generally available. Based on Kubernetes 1.30 and CRI-O 1.30, OpenShift 4.17 features expanded control plane options, increased flexibility for virtualization and networking, new capabilities to leverage generative AI, and continued investment in Red Hat OpenShift Platform Plus. These additions further accelerate innovation with OpenShift without compromising on security. OpenShift provides a trusted, comprehensive, and consistent application platform enabling enterprises to innovate faster across the hybrid cloud. Available in self-managed or fully managed cloud

For the last 30 years, Red Hat Enterprise Linux (RHEL) has been the solid foundation of datacenter and cloud infrastructures, powering everything from websites, databases, and applications. While there’s been huge adoption in these areas, Red Hat asked a question about two years ago: Could the same rock solid operating system also be used for industrial applications, and achieve the same dependability and performance demanded by the market?This blog is a look through the progress made over the last few years, the advancements and improvements, and a glimpse into the roadmap of Red Hat Device

Modern application development can be complex - fraught with disparate development systems and environments as well as distributed teams. As organizations increasingly turn their focus to data-driven intelligent applications, this complexity grows. AI-enabled applications require added data shaping capabilities and the flexibility to run centrally or at the edge. Enhancing the AI developer experience is paramount to delivering better and safer user experiences.To create a unified experience for developers across teams and infrastructure, Deloitte and Red Hat are announcing an expanded collabor

Think about some of the past trends in technology, and you’ll start to see some patterns emerge. For example, with cloud computing there’s no one-size-fits-all approach. Combinations of different approaches, such as on premise and different cloud providers, have led to organizations taking advantage of hybrid infrastructure benefits in deploying their enterprise applications. When we think about the future, a similar structure will be essential for the consumption of artificial intelligence (AI) across diverse applications and business environments. Flexibility will be crucial as no single

With Red Hat OpenShift 4.17, we continue to enhance the OpenShift observability offering. Observability plays a key role in monitoring, troubleshooting and optimizing OpenShift clusters. This article guides you through the latest features and integrations that help you improve the observability of your OpenShift environment. Single pane of glass for cluster observabilitySeptember 2024 saw the release of Cluster Observability Operator 0.4.0, which enables the installation of specific observability components, such as a less-opinionated monitoring stack and UI plugins. This includes platform, vi

Picture this: you have a powerful language model in production, but it struggles to provide satisfying answers for specific, niche questions. You try retrieval-augmented generation (RAG) and carefully crafted prompt engineering, but the responses still need to be revised. The next step might seem to be full model fine tuning—updating every layer of the model to handle your specialized cases—but that demands significant time and compute resources.What is LoRA?Low-rank adaptation (LoRA) is a faster and less resource-intensive fine tuning technique that can shape how a large language model re

TrustyAI is an open source community dedicated to providing a diverse toolkit for responsible artificial intelligence (AI) development and deployment. TrustyAI was founded in 2019 as part of Kogito, an open source business automation community, as a response to growing demand from users in highly regulated industries such as financial services and healthcare. With increasing global regulation of AI technologies, toolkits for responsible AI are an invaluable and necessary asset to any MLOps platform. Since 2021, TrustyAI has been independent of Kogito, and has grown in size and scope amidst the

FAQ: Red Hat to acquire Neural MagicWhat is being announced?On Nov. 12, 2024, Red Hat announced that it has signed a definitive agreement to acquire Neural Magic, subject to regulatory reviews and other customary closing conditions.What is Neural Magic?Neural Magic is a Somerville, Massachusetts-based early stage company developing technology that helps organizations optimize AI models for greater performance and efficiency. Specifically, Neural Magic is a leader in the vLLM community project with expertise in quantization and sparsification.What does Neural Magic provide?Neural Magic provides

The AI landscape is evolving at an electrifying pace. Just as with any technological leap, the question arises: what path will best shape its future? Red Hat believes the answer is clear:The future of AI is open source.This isn’t just a philosophical stance; it’s an approach focused on unlocking the true value of AI and making it something far more accessible, far more democratized and far more powerful.We have always believed in the power of open source development in driving innovation. We’ve seen this play out in the rise of Linux, KVM, OpenStack, Kubernetes and many other projects th

As the demand for artificial intelligence (AI) and cloud computing grows, so does the power consumption of data centers. Data centers are the backbone of the modern digital economy, but they are also some of the biggest contributors to global energy usage. With the generative AI (gen AI) explosion and the increased demand for AI workloads and power, there has also been an uptick in technology’s carbon footprint.This presents a critical challenge: how can data centers manage their energy consumption without sacrificing the performance needed to support their AI applications? The new Climatik

Red Hat OpenShift Lightspeed is now available as a technology preview. This is an important milestone along the path to a fully-supported OpenShift Lightspeed virtual assistant for Red Hat OpenShift. The tech preview release of OpenShift Lightspeed removes any dependency on third-party cloud-based large language model (LLM) providers with support for Red Hat OpenShift AI and Red Hat Enterprise Linux AI (RHEL AI).Disconnected cluster supportRed Hat OpenShift has allowed for customers to run in completely disconnected environments for a long time. As new operator-powered features are added to th

OpenSSL is a popular cryptographical toolkit with more than 20 years of history. For a long time, the only way to extend it was by using an "engine", which defines how a cryptographic algorithm is computed. This could include hardware devices and even new algorithms not included in the main library, but as OpenSSL evolved it became evident that the engines API was limiting. A new pluggable system, called a "provider", was introduced.What is a providerA provider, in OpenSSL terms, is a unit of code that provides one or more implementations of cryptographic operations, making new algorithms avai

We’re excited about Red Hat Summit in Boston, MA from May 19-22, 2025. This event is a chance for IT professionals, enterprise leaders, and open source technologists to come together and explore topics like automation, AI, and security.Join us to hear from industry experts and gain insights from leaders shaping technology's future. You'll be part of a dynamic community eager to share knowledge, spark meaningful conversations, and drive innovation. We’ve gathered insights from past speakers who shared their knowledge and experiences. Their stories reflect the excitement of connecting with a

This week we announced that Red Hat has been positioned as a Leader in the first ever 2024 Gartner® Magic Quadrant™ for Cloud Application Platforms. We are proud of this recognition, as we believe this is a great validation of Red Hat OpenShift cloud services’ ability to help organizations bring cloud-native applications to market faster with the infrastructure that best meets their unique needs. The Red Hat OpenShift cloud services portfolio consists of jointly engineered solutions with hyperscalers, including Red Hat OpenShift Service on AWS, Azure Red Hat OpenShift, Red Hat OpenShift o

I’m heading to Denver, CO the week of November 18th to participate in AutoCon 2, an event dedicated to network automation. Although this is my first time at AutoCon 2, I’m already familiar with many of the names on the agenda from the network engineering community. It’s going to be an incredible opportunity to connect with fellow engineers and operators, exchange insights, and dive into topics around automation, orchestration, and observability.On November 19th, I will join two of my Red Hat colleagues to lead a workshop titled “Network resiliency with event-driven automation using Ans