Opens in a new tab

AI in production. Reliability in practice.

Latest edition ·

The cover story

Beginner

Your AI runs locally. What can it still send out?

A local model can keep inference on your computer. The surrounding app may still use cloud services, connected tools, telemetry and synced storage. Here is how those routes differ, and which choices actually change them.

13 min read

Read the story

Fresh from the publication

The latest articles

Browse all articles

PHP2Shell: the real risk behind the AI-hacking alarm

Critical PHP flaws, AI-assisted exploit research and stolen API keys are real concerns. Here is what the evidence establishes, what it does not, and how an operations team can respond without confusing a patch with a clean bill of health.

9 min read

Worth understanding

A clearer picture of AI

Explore the explanations
Intermediate

Explainer

Gemini 4 Argon: can it actually finish the job?

Google’s new reasoning model promises to stay with difficult work. Here is what that means for coding, research and investigations, and how to check the result.

9 min read

Reliability in practice

Production notes

Incidents, on-call work, and the decisions behind reliable systems.

Explore the series
Intermediate

Guide

The on-call work that page counts leave out

Disturbed nights, specialist help and cleanup consume capacity beyond the primary shift. A workload worksheet connects that demand to staffing and delivery plans.

5 min read

Put it to work

Tools for the job in front of you

Browse all tools

Reconstruct the response

Put incident timestamps in order and examine the intervals between failure, detection, investigation, and recovery.

Build a timeline

Give the next responder a head start

Turn a known failure into a procedure with scope, actions, escalation, and recovery checks.

Build a runbook

Follow the fix through

Track corrective actions alongside verification criteria and the risk that remains.

Track an action

Start learning

Start with a question. Build from there.

All learning paths

AI basics · 10 lessons available

What happens between a prompt and an answer?

Understand what happens between a prompt and an answer, learn how to check the result, and build a small document assistant that shows its evidence.

10 lessons ready, with practical exercises throughout.

Explore AI basics

Linux basics · 13 lessons available

Get comfortable at the command line.

Learn to operate a Linux system by building, running and troubleshooting a small service in a disposable practice environment.

13 lessons ready, with practical exercises throughout.

Explore Linux basics