Field guides

Learn

Every guide is something that actually broke here first. Written down after it was fixed, not before.

AI

Local models, agents, and making them useful

3

Network

DNS, private overlays, and radio

3

Storage and media

Your own library, and backups that restore

2

Home lab

The house, the hosting, and the hardware

3

Reliability

Proving a thing did what it said it did

9
Reliability4 min read

What I learned the hard way

The rules paid for by real mistakes, written down so a few of yours are free.

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Reliability7 min read

My assistant said it did something. It had not.

A model will narrate success for things it cannot do, and asking it nicely to stop is not a fix. The gate that is.

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Reliability7 min read

The worst alert is a green one

A job reported success every night while doing nothing at all. A check that can only ever say ok is not a check.

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Reliability7 min read

Prove the monitor is not the thing that is broken

Dozens of outage alerts for a service that was fine. A broken gauge does not read honest, it reads empty.

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Reliability7 min read

If your health check does real work, it will take down what it watches

The status endpoint that became the outage. The observer has to be cheap.

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Reliability6 min read

Never let an AI job spend money unattended

See it, project it and pause, check the environment not the config, and make the expensive path unreachable instead of discouraged.

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Reliability6 min read

Measure before you delete

Sixty files to clean up, three of them causing the problem, and a sweep that would have taken the credentials backup with it.

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Reliability9 min read

My research agent faked it for three weeks

A proxy quietly dropped its tools, so it could not research anything and invented the answers instead.

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Reliability8 min read

Read the log before you believe your own story

The remembered pattern was wrong, and two different causes were wearing the same costume.

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Security

Keys, secrets, and closing what is open

3