Red Hat

Open source software faces significant regulatory shifts, making "secure by design" development practices increasingly important. The Cyber Resilience Act (CRA) takes effect on December 11, 2027, and as of September 11, 2026, the first CRA vulnerability and incident reporting obligations were live. These new cybersecurity regulations impact all companies that sell software or hardware to the European market and will have a huge impact on open source as a whole.

IT leaders face a frustrating dilemma when scaling big data: Should they force engineering teams to rewrite applications running on traditional virtual machines (VMs) for containers, or maintain separate, expensive infrastructure environments? Red Hat OpenShift lets organizations modernize VMs alongside containers—without forcing immediate application refactoring.

-minute read Lightwell has identified and remediated more than 400 previously unknown vulnerabilities in widely used Java libraries, addressing a growing business risk as autonomous AI agents become capable of combining several lower-risk software weaknesses into a more serious attack. Learn more Red Hat has been recognized as a Leader in IDC's MarketScape for Private and Hybrid Cloud Management with Automation, highlighting Ansible Automation Platform's versatility and AI capabilities.

Tomas Dosek Principal Product Manager - Red Hat Insights Find Tomas here: Red Hatter since 2010, Dosek's professional career started with virtualization technologies and transformed via variety of roles at Red Hat through to hybrid cloud. His focus is at improving product experience with assistance of Red Hat Insights. View more View less

Managing vulnerabilities across a fleet of Red Hat Enterprise Linux (RHEL) systems is a continuous challenge. Between tracking Common Vulnerabilities and Exposures (CVEs), prioritizing by business risk, planning RHEL upgrades, and remediating issues, operations teams juggle multiple tools and workflows daily.

In Part 1: Preparing AI models for deployment, we saw how our model left the training pipeline as a signed, optimized Open Container Initiative (OCI) artifact ready to travel to the edge. Now, our next question is: what will be the implications of running those AI workloads at the edge? Running AI inference in a data center means using standardized hardware and abundant memory. At the edge, a single fleet might span multiple hardware platforms.

Red Hat OpenShift doesn't stop at the cloud boundary. Telecommunications providers, government agencies, and financial institutions run OpenShift in environments that are intentionally air-gapped — and keeping those clusters healthy has always been the hard part. Pen drive is here to fix that. Disconnected or restricted Kubernetes clusters suffer from a common issue: isolation makes them prone to configuration drift and issue buildup over time.

Back in 2010, I wrote a small web tool to generate random galactic sectors for a tabletop role playing game. It started as a Perl application, but these days it’s a single, static Go binary with all of its assets compiled right into the executable. Thousands of game masters have used it, it runs quietly in the public cloud, and for years I rarely touched it. Like thousands of community tools across the open source ecosystem, my app seems pretty harmless.

Technology is moving faster than ever. From modernizing cloud infrastructure and virtualization strategies to keeping up with emerging enterprise AI capabilities, staying ahead requires more than reading documentation—it requires real-world context, hands-on application, and connection. That is where Red Hat Summit Connect comes in. Red Hat is taking its flagship event on a global tour.

Enterprise technology leaders know that balancing reliable execution with breakthrough thinking is essential for long-term growth. Core product roadmaps excel at delivering steady, customer-driven enhancements to proven platforms. At the same time, sudden market discontinuities create opportunities that sit outside existing product lines.