A doorway into technical agency
This wiki is for curious adults who use technology every day but want to understand, operate, troubleshoot, and eventually build more of it themselves. It begins with the systems and networking foundations I am studying for an early career in Linux systems administration and network operations.
The goal is not to make every reader a specialist. It is to provide enough context to see the larger technical landscape, understand ordinary documentation, and choose a useful next direction.
Understand → Practice → Evidence
Topics are developed as flexible learning clusters:
- Understand — connect a concept to the larger system and explain it in ordinary language before moving toward protocols and technical specifications.
- Practice — use an accessible lab to observe, configure, break, or troubleshoot the concept. Most suggested labs should work on an ordinary computer with free and open-source software.
- Evidence — connect the subject to completed, documented work where I have personally applied it.
Not every topic needs all three parts. A foundational page may stand alone; an applied claim should be supported by work I performed and can explain.
Networking foundations
- OSI model — a seven-layer reference model for connecting protocols, devices, encapsulation, and troubleshooting to the larger communication system.
- Network appliances — the physical and virtual systems that forward, filter, distribute, store, and expose network traffic.
- Network applications — beginning with content delivery networks and the relationship between distributed infrastructure and applications.
- Network functions — VPNs, tunneling, IPsec, quality of service, and the lifetime of routed packets.
- Network protocols and ports — common application protocols, the port ranges IANA allocates, and the network-layer protocols that carry them.
- Network traffic types — unicast, multicast, anycast, and broadcast delivery patterns.
- Cloud computing concepts — NFV, virtual private clouds, cloud traffic controls, and deployment and service models.
This is an intentionally small first release. It will expand as finished notes and completed labs move from my private study workspace into reviewed public editions.
Authorship and scope
The educational substance begins in notes I typed while studying or in labs I performed and documented. AI may help interview me, organize the material, correct presentation, and fit it into the site, but it is not used to manufacture unlearned expertise or unperformed evidence.
The material is FOSS-first because free tools and owned systems make practice more accessible. Proprietary workplace systems will still be addressed where reality requires them, with a clear distinction between transferable concepts, documentation- based comparisons, and systems I have personally operated.