OpenShift Sandboxed Containers 1.13: Confidential AI, Attestation and Agent Sandboxing The hard part of confidential AI is not encrypting memory. It is proving which workload is allowed to see protected data—and containing code you do not fully trust. A model can be confidential and still be running on infrastructure you do not fully trust. An…
Mastering the AI Era: Building a smarter technology model In this blog, we will learn how to build a smarter technology model. Organizations can no longer depend on static technology operating models. As AI capabilities evolve rapidly, the way people and machines work together is changing. To adopt these capabilities safely and efficiently, organizations need…
Stronger Pod Isolation with OpenShift Sandboxed Containers In this blog, we will learn about stronger pod isolation with OpenShift sandboxed containers. Containerized applications running on Red Hat OpenShift already benefit from multiple built-in security mechanisms. Security Context Constraints (SCCs) control the permissions available to pods, SELinux provides mandatory access control, cgroups regulate CPU and memory…
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…