AI systems foundations

Read a system dependency map

Read a system dependency map through a bounded evidence-first AI operations workflow in the training lab.

AI systems foundations
5 min Beginner Lesson 11 of 180
cat /opt/ai-lab/foundations/system-map.txtaiops models inspect read-a-system-dependency-maphead -n 3 /opt/ai-lab/foundations/system-map.txt
Lesson 11 of 180 0/180 lessons 0/18 missions 0/11 briefings AI systems foundations · 5 min
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AI operations terminal Training lab
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learner@aiops:/home/learner $ AI operations lab: type a command, press Enter
Instructions 5 min

Click any instruction for the command details, the why, and the common mistake to avoid.

Inspect the ai systems foundations baseline

Type this exactly: cat /opt/ai-lab/foundations/system-map.txt

cat /opt/ai-lab/foundations/system-map.txt
Run the models review

Type this exactly: aiops models inspect read-a-system-dependency-map

aiops models inspect read-a-system-dependency-map
Confirm the evidence

Type this exactly: head -n 3 /opt/ai-lab/foundations/system-map.txt

head -n 3 /opt/ai-lab/foundations/system-map.txt
Lesson support

What to notice while you play.

Objective

Use commands and observable output to explain read a system dependency map without changing a real model or service.

Hint

Start with cat /opt/ai-lab/foundations/system-map.txt. Then run aiops models inspect read-a-system-dependency-map before collecting the final evidence.

Why it matters

Read a system dependency map is an operator skill because AI behavior must be connected to versioned configuration, runtime state, and inspectable evidence.

Common mistakes
  • Skipping the baseline fixture before reasoning about read a system dependency map.
  • Treating one simulated output as proof of root cause instead of one bounded piece of evidence.
Reference

Commands in this lesson.

aiops models

Inspect the simulated model catalog, manifests, and version comparisons.

aiops prompts

Review versioned prompt metadata and deterministic prompt diffs.

aiops evals

Run and inspect bounded evaluation fixtures without model execution.

aiops rag

Inspect retrieval documents, chunks, index status, and reviewed results.

aiops traces

Read deterministic request traces, summaries, and latency evidence.

aiops guardrails

Review simulated guardrail policies, checks, and audit summaries.

aiops cost

Estimate cost and capacity from fixed training metrics.

aiops incidents

Review incident timelines, evidence bundles, and operator notes.