Posts
Page 17 of 41
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LLM Temperature and top_p Explained Without the Math
Temperature and top_p control randomness in LLMs. No probability theory needed. Just practical intuition and how to tune them.
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TLS 1.3: Modern Encryption Without the Existential Dread
TLS 1.3 explained without the PhD: faster handshakes, better ciphers, and how to actually configure Nginx and Caddy to use it.
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Caddyfile Patterns That Actually Work
A practical cookbook of real-world Caddyfile patterns — reverse proxy, auth, redirects, SPA serving, rate limiting, and more.
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IPFS: Peer-to-Peer File Storage for People Who've Seen Too Many 404s
Learn IPFS distributed storage: content addressing, CIDs, installing the IPFS daemon, pinning files, public gateways, and real use cases for resilient self-hosted file storage.
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Prometheus Scrape Intervals: The Hidden Tradeoff
Shorter intervals = more data. But also more storage, CPU load, and potential instability. Here's the tradeoff you're actually making.
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Obsidian LiveSync: Self-Hosted Sync Without Paying for the Privilege
Ditch Obsidian's $10/month sync fee. Set up LiveSync with CouchDB in Docker and own your notes completely — encryption included.
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Semantic Versioning: The Part Everyone Gets Wrong
You think v1.1.0 is backward compatible. Your users think breaking changes are v2.0.0. Both of you are wrong about something.
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Let's Encrypt Without Certbot
Certbot isn't the only ACME client. Explore Caddy, acme.sh, lego, and Step CA — with practical examples for wildcard certs and DNS-01 challenges.
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Grafana Dashboard Variables: One Dashboard for All
Stop maintaining 50 identical dashboards. Grafana variables let you build one dashboard that adapts to any data source, environment, or metric.
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Shell Setup in 2026: Starship, Plugins, Fish
Oh My Zsh had its moment. Here's the 2026 shell setup: Starship prompt, three killer plugins, and when to consider Fish or Nushell.
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LLM Backends: vLLM vs llama.cpp vs Ollama
vLLM, llama.cpp, and Ollama all run local LLMs — compare throughput, memory use, GPU support, and which fits your hardware.
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RAG Chunking: Why Chunk Size Is Everything
RAG breaks documents into chunks. But what chunk size? Too small and context is lost. Too large and semantic search fails. Here's how to pick.
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