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@devopslinks shared a link, 1 week, 1 day ago

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Building a Least-Privilege AI Agent Gateway for Infrastructure Automation with MCP, OPA, and Ephemeral Runners

Introduces anAI Agent Gateway. It mediates agent requests, validates intent, enforcespolicy-as-code, and isolates execution inephemeral runners. Agents discover tools viaMCP. They submitJSON-RPCcalls and receiveOPAdecisions. Jobs queue and run in short-lived namespaces. Each run carries plan hashes,.. read more

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@devopslinks shared a link, 1 week, 1 day ago

FAUN.dev()

The hunt for truly zero-CVE container images

Chainguard's Factory 2.0 andDriftlessAFrebuild images from source on upstream changes. They produce 2,000+ minimalzero‑CVEimages. Each image includes anSBOMand a cryptographicsignature. Docker'sDHIbuilds onDebianandAlpine. It mirrors Debian'sno‑DSAtriage intoVEX. It also suppresses real CVEs until D.. read more

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vLLM is an advanced open-source framework for serving and running large language models efficiently at scale. Developed by researchers and engineers from UC Berkeley and adopted widely across the AI industry, vLLM focuses on optimizing inference performance through its innovative PagedAttention mechanism — a memory management system that enables near-zero waste in GPU memory utilization. It supports model parallelism, continuous batching, tensor parallelism, and dynamic batching across GPUs, making it ideal for real-world deployment of foundation models. vLLM integrates seamlessly with Hugging Face Transformers, OpenAI-compatible APIs, and popular orchestration tools like Ray Serve and Kubernetes. Its design allows developers and enterprises to host LLMs with reduced latency, lower hardware costs, and increased throughput, powering everything from chatbots to enterprise-scale AI services.