Find cardinality explosions in metrics

Prompt that finds label cardinality in metrics and proposes cuts plus a budget. Paste it into an AI tool of your choice, which then finds cardinality explosions in metrics.

Topic: Spreadsheets & data
Type: Prompt
Level: Intermediate
Time: about 15 min

Results depend on the tool, the model and what you enter.

Result preview

Example: written by our editors, not real AI output.

http_reqs{status,path,user_id} Series: 12M (+4M / week) Top: user_id (high), path (medium) Propose: drop user_id, bucket path Budget: max 2M series / job Alert: +20 % series in 24 h

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SystemWhere do metrics live?

SymptomWhat stands out?

LabelsSuspect keys?

Your prompt

Help me find cardinality explosions in my metrics.
System: [System]
Symptom: [Symptom]
Labels: [Labels]
Steps: 1. Read metric names, label keys and the count of unique series. 2. Flag labels with user IDs, URLs, free text or large enums. 3. Estimate storage and query cost of the top offenders. 4. Propose cutting, bucketing or dropping and name which analyses then disappear. 5. Set budgets and alerts for new label values. 6. Write a cleanup plan with owners.
Output: finding list, cost estimate, cut proposals, budget and plan.

Take particular care to cut hot labels and set a series budget before the invoice arrives.

Before you answer, check: Are all instructions met? If key information is missing or a placeholder in square brackets is still in the text, ask instead of guessing. Mark assumptions as assumptions.

This is an instruction for an AI, not the result itself.

Where this prompt works

These AI tools are a good fit for this prompt:

How to use it

Fill in the fields or tap a suggestion. Leave out names, addresses and other personal data.
Copy the finished prompt into an AI tool of your choice.
Paste metric export, label cardinalities and cost hints, without personal raw values.

Why does this work?

A label with request URL creates millions of series. Without a budget you notice it on the invoice.

Tips

Ban high cardinality in the metric policy, not only in the alert.

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Find cardinality explosions in metrics

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