Bringing enterprise Linux to the robotics frontier: ROS2 adds Red Hat Enterprise Linux as a tier-1 supported platform
The convergence of enterprise IT and physical computing is accelerating. As artificial intelligence transitions from purely digital environments into autonomous systems, industrial automation, and smart edge devices, the software foundation behind these systems must be as resilient as the physical machines themselves.To power this next generation of intelligent systems, we’re pleased that Red Hat…
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Friday Five — September 25, 2026 | Red Hat
The blueprint for scalable enterprise security in the age of AIThroughout this series, we will unpack how Red Hat can help customers implement a layered security defense, from the operating system (OS) foundation to autonomous AI agents, ensuring enterprise resilience in the age of AI and emerging threats. Learn more Techstrong tv: Red Hat Lightwell targets the AI vulnerability patch crisisRed…
How to manage aircraft leases with AI agents
AI quickstarts are a catalog of ready-to-run, industry-specific use cases for your Red Hat AI environment. Each aims to provide a simple and practical way to solve real-world problems using AI on enterprise open source infrastructure. This quickstart takes on a document problem most people outside of aviation never see: the aircraft lease. Aircraft leases are typically dense, complex, and…
Red Hat Enterprise Linux 10 STIG automation now matches DISA STIG V1R2
For the U.S. Department of Defense (DoD) and its contractors, security has to hold up against a published baseline—not a general claim that systems are “secure.” The Defense Information Systems Agency (DISA) defines that baseline in Security Technical Implementation Guides (STIGs), and STIG compliance is required for information systems that connect to DoD networks.In March 2026, the Defense…
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Best practices guide for customizing Gemini models via Reinforcement Learning (RL)
Reinforcement learning (RL) has been a keystone of modern LLM post-training, but it demands large training clusters and access to model internals that external customers can't have with proprietary models like Gemini. So here at Google Cloud, we packaged it into a managed RL fine-tuning service (RLFT service) — you bring prompts and a reward function; we handle the infrastructure and the…
Breaking the AI productivity paradox: an intelligent migration factory to modernize infrastructure and applications
The rise of generative AI promised a silver bullet, but for most enterprises, especially banks, digital transformation remains a slow, complex, and costly endeavor. Early reports suggested massive developer productivity gains. But when AI is applied to complex enterprise systems, organizations often collide with what we call the AI productivity paradox.According to a Stanford software engineering…
AI Reliability Engineering for Dependable Humans | Solo.io
Learn AI reliability engineering (AIRE): how AI agents help SRE and platform teams triage incidents faster and stay dependable.
Unlock 3x QPS and microsecond latency with Memorystore for Valkey 9.1
At Google Cloud, we are committed to delivering the best managed experience backed by open source software. Today, we’re announcing the general availability of Memorystore for Valkey 9.1 , which achieves up to 3x queries per second (QPS) at microsecond latency compared to Memorystore for Redis Cluster. Our support for Valkey dates back to 2024 , when Redis Inc. shifted its licensing away from the…