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Rearchitecting GitHub Pages (2015)

news.ycombinator.com Hailey Somerville 2025-10-03 15:21:12

GitHub Pages, our static site hosting service, has always had a very simple architecture. From launch up until around the beginning of 2015, the entire service ran on a single pair of machines (in active/standby configuration) with all user data stored across 8 DRBD backed partitions. Every 30 minutes, a cron job would run generating an nginx map file mapping hostnames to on-disk paths. There were a few problems with this approach: new Pages sites did not appear until the map was regenerated (p

Topics: mysql nginx pages pair routing
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Nexus: An Open-Source AI Router for Governance, Control and Observability

news.ycombinator.com Unknown 2025-11-20 06:41:12

Today, we're excited to introduce Nexus - a powerful AI router designed to optimize how AI agents interact with multiple MCP tools and Large Language Models. Nexus serves as a central hub that aggregates Model Context Protocol (MCP) servers while providing intelligent LLM routing, security and governance capabilities. Nexus is an AI router that solves two critical challenges in the AI ecosystem: MCP Server Aggregation: Instead of managing connections to multiple MCP servers individually, Nexus

Topics: ai mcp models nexus routing
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Tor: How a military project became a lifeline for privacy

news.ycombinator.com The Mit Press Reader 2025-11-24 18:45:27

The Secret History of Tor: How a Military Project Became a Lifeline for Privacy A story of secrecy, resistance, and the fight for digital freedom. By: Ben Collier A↑ A↓ Off Bright Dark Blues Gray BeeLine Reader uses subtle color gradients to help you read more efficiently. I’m sitting in a cold, scuffed, and dirty plastic chair on a crowded train, watching freezing fog stream past the window — one of the many unpleasant but strangely enjoyable everyday experiences of life in the United

Topics: internet military privacy routing tor
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Tor: How a Military Project Became a Lifeline for Privacy

news.ycombinator.com The Mit Press Reader 2025-11-25 06:45:27

The Secret History of Tor: How a Military Project Became a Lifeline for Privacy A story of secrecy, resistance, and the fight for digital freedom. By: Ben Collier A↑ A↓ Off Bright Dark Blues Gray BeeLine Reader uses subtle color gradients to help you read more efficiently. I’m sitting in a cold, scuffed, and dirty plastic chair on a crowded train, watching freezing fog stream past the window — one of the many unpleasant but strangely enjoyable everyday experiences of life in the United

Topics: internet military privacy routing tor
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Show HN: ArchGW – An intelligent edge and service proxy for agents

news.ycombinator.com Unknown 2026-01-16 00:55:39

Arch is a proxy server designed as a modular edge and AI gateway for agentic apps Arch handles the pesky low-level work in building agentic apps — like applying guardrails, clarifying vague user input, routing prompts to the right agent, and unifying access to any LLM. It’s a language and framework friendly infrastructure layer designed to help you build and ship agentic apps faster. Quickstart • Demos • Build agentic apps with Arch • Route LLMs • Documentation • Contact Overview AI demos a

Topics: 26 arch info model routing
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New 1.5B router model achieves 93% accuracy without costly retraining

venturebeat.com Ben Dickson 2026-01-28 12:25:31

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Researchers at Katanemo Labs have introduced Arch-Router, a new routing model and framework designed to intelligently map user queries to the most suitable large language model (LLM). For enterprises building products that rely on multiple LLMs, Arch-Router aims to solve a key challenge: how to direct queries to the best model for the job

Topics: arch model policies router routing
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Optimizing Tool Selection for LLM Workflows with Differentiable Programming

news.ycombinator.com Viksit Gaur 2026-01-30 17:52:46

Modern agentic architectures rely heavily on chaining LLM calls. A typical pattern looks like: Use an LLM to decide which tool to invoke Call the tool (e.g. search, calculator, API) Use another LLM call to interpret the result and generate a final response This structure is easy to reason about, simple to prototype, and generalizes well. But it scales poorly. Each LLM call incurs latency, cost, and token overhead. More subtly, it compounds context: every step includes not only the original q

Topics: differentiable llm model routing tool
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