Curated articles, resources, tips and trends from the DevOps World.
Explore how migrating to Karpenter enhances Kubernetes resource management and scaling efficiency for DevOps teams.
Explore five AI extensions to enhance your VS Code experience and boost productivity using advanced DevOps tools.
Discover three key principles for effective developer platform design: simplicity, flexibility, and integration for enhanced productivity.
Python data engineers should embrace Kafka and Flink to build robust, real-time data pipelines and enhance their career prospects in data engineering.
Secure your DevOps pipeline by integrating security practices throughout the development process against supply chain vulnerabilities.
Discover how the Model Context Protocol (MCP) is revolutionizing developer productivity in the DevOps landscape.
Unlock the potential of AI in the SDLC to enhance DevOps efficiency, improve collaboration, and streamline software delivery.
Transform your Raspberry Pi into a retro gaming console with RetroPie. Easy setup and a wide game library await enthusiasts!
Join Red Hat Summit 2026! Share insights on DevOps tools and practices, and connect with industry leaders.
Why do we really need Llama Stack when popular frameworks like LangChain, LangFlow, and CrewAI already exist?This is the question we get asked most often. It’s a fair one—after all, those frameworks already give developers rich tooling for retrieval-augmented generation (RAG) and agents.But we see Llama Stack as more than “another agent framework.” It’s better understood as four distinct layers:The 4 layers of Llama Stack1. Build layer (Client SDK/Toolkit)A familiar surface for buildin...
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