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…
GitOps Driven Application Deployment on OpenShift with Argo CD Modern application delivery demands speed, consistency, and reliability. Traditional deployment methods often fall short when managing complex containerized environments. This is where GitOps comes in—and tools like Argo CD make it powerful and practical on Red Hat OpenShift. What is GitOps? GitOps is an operational approach…
Enhancing AI Development with the MCP Catalog on OpenShift AI In this blog, we will learn how to enhance AI development with the MCP catalog on OpenShift AI. The growing adoption of AI agents across enterprises is driving demand for secure and scalable integration with organizational platforms, applications, and data resources. Red Hat OpenShift AI…
How AI Agents are Redefining the Role of Developer Portals In this blog, we will learn how AI agents are redefining the role of developer portals. The rise of AI-powered coding assistants and autonomous agents has sparked an interesting debate within the platform engineering community. Some argue that Internal Developer Portals (IDPs) are becoming obsolete.…
Bridging AI Insights and Automated Operations In this blog, we will learn how to turn AI Insights into Automated Operations. Artificial intelligence is transforming every stage of IT operations. Modern AI systems can identify issues, analyze root causes, recommend solutions, and even execute corrective actions. However, as AI expands operational capabilities, it also introduces new…
