Managing AI Access and Token Quotas with MaaS Governance In this blog, we will learn how to manage AI Access and Token Quotas with MaaS Governance. (MaaS), available as part of, provides organizations with a flexible approach to managing AI model access and usage policies. MaaS uses a MaaSModelRef to associate governance rules with models.…
Boosting Edge Reliability with Two-Node OpenShift and Fencing In this blog, we will learn how to boost edge reliability with two-node OpenShift and fencing. As organizations expand their use of edge computing, they are moving applications and data processing closer to the locations where data is produced. This approach can reduce latency and improve application…
Zero Trust Workload Identity Manager 1.1 Now available on OpenShift In this blog, we will learn about Zero Trust Workload Identity Manager 1.1 in Red Hat OpenShift. Modern cloud-native applications are increasingly distributed across multiple clusters, cloud platforms, and hybrid environments. In these dynamic architectures, conventional approaches such as long-lived credentials, static certificates, and cloud-specific…
Faster VM Migration with Storage Processing in MTV 2.12 In this blog, we will learn how to migrate VMs faster with storage processing in MTV 2.12. Red Hat’s latest Migration Toolkit for Virtualization (MTV) 2.12 is aligned with Red Hat OpenShift 4.22 and introduces several enhancements aimed at making VM migrations faster, more flexible, and…
Why AI Agents Need More Than an Agent Framework: Closing the Production Gap In this blog, we will learn why AI Agents need more than an agent framework. AI agents are rapidly moving from experimentation into enterprise production. Organizations are using them to manage support requests, automate workflows, process transactions, retrieve information, and interact with…
What’s New in Red Hat OpenShift 4.22 Observability. In this blog, we will learn about the key observability enhancements introduced in Red Hat OpenShift 4.22, including smarter monitoring, simplified logging, advanced tracing, and improved dashboarding with the Red Hat build of Perses. Modern cloud-native environments generate massive volumes of operational data every second. Organizations need…
How Red Hat OpenShift Uses AI to Streamline CI/CD Pipeline Troubleshooting In this blog, we will learn how Red Hat OpenShift uses AI to streamline CI/CD pipeline troubleshooting. AI-powered development tools are helping developers write code faster and deliver features more quickly. While this improves productivity during development, it also creates a new challenge: the…
Top New Features of Ansible Automation Platform 2.7 In this blog, we’ll explore the key features, improvements, and benefits introduced in Ansible Automation Platform 2.7. Introduction Organizations are increasingly adopting automation to improve operational efficiency, strengthen security, and accelerate digital transformation. As IT environments become more distributed and complex, enterprises need an automation platform that…
Modern Security Automation for Hybrid IT with Red Hat Ansible In this blog, we will learn about modern security Automation for hybrid IT with Red Hat Ansible. Modern IT environments demand speed, scalability, and resilience. At the same time, security teams must ensure compliance, reduce risk, respond to threats, and protect critical business assets. Balancing…
What Is the Red Hat OpenShift AI Model Catalog? In this blog, we will learn about the Red Hat OpenShift AI Model Catalog. The open-source AI ecosystem is thriving, offering an unprecedented variety of powerful models. Developers can now choose from reasoning-focused architectures like DeepSeek and Kimi K2, highly versatile solutions like the popular Qwen…