Local LLMs for Privacy‑First Workflows A Practical Guide with LMStudio

Why run a language model on your own machine?

  1. Data stays local – No text leaves your computer, so sensitive information can’t be sent to the cloud.
  2. No API limits or costs – Once you have the model file, you’re not paying per request.
  3. Instant response time – The round‑trip latency of an internet call disappears; the model replies in milliseconds.

If you’re a developer, system admin, or just someone who values privacy, these benefits make local LLMs worth a look.

Continue reading “Local LLMs for Privacy‑First Workflows A Practical Guide with LMStudio”

Protecting The Wire – Semaphore Behind SSL Proxy

Mission Brief

Plain text communication is loud. It’s bleeding data.
Prying eyes can see every bit in the wire.

You have to isolate the backend – the Semaphore UI and MySQL containers stay locked down. Unreachable for the external work.
Open a tiny hole on the stronghold to the world – the frontend is an NginX SSL proxy.

You use:

  • Podman pod for network and container isolation
  • The Semaphore and MySQL containers without exposing them to the world
  • An NginX proxy container with SSL
Continue reading “Protecting The Wire – Semaphore Behind SSL Proxy”