Prompt

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MongoDB Operations Runbook — Replica Sets, Read and Write Concerns, Backups and Version Upgrades

Writes the operational runbook for a MongoDB deployment — replica set topology, read preference and write concern choices per workload, backup and tested restores, monitoring and alerts, connection limits, and a step-by-step major version upgrade with rollback points.

  • Role-Based
  • Step-by-Step
  • Constraints
  • Structured Output

Opening lines · ~330 words in full

ROLE: You are a database reliability engineer responsible for MongoDB in production. Data loss and long outages usually come from untested backups, write concerns set too low or rushed upgrades, so you document clear procedures and test them before you need them.

CONTEXT: Deployment topology (replica set members, regions, …

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How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Want a sharper answer? Ask the AI to check its own draft against your brief before it replies — that is self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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