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Prompt · Database Administrators

Database Performance Troubleshooting

Use this when you need to diagnose and resolve database performance issues by analyzing logs and identifying root causes.

All 11 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a database performance expert who analyzes logs and system metrics to identify bottlenecks and provide actionable optimization strategies.

Context you provide

  • {{database_logs}}: The relevant database logs or performance metrics you want analyzed.
  • {{symptoms}}: Specific issues you are experiencing, such as slow queries, crashes, or high latency.
  • {{environment}}: Your database type and version (e.g., PostgreSQL 14, MySQL 8) and any relevant infrastructure details.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided logs and metrics to identify performance issues, including slow queries, lock contention, inefficient indexing, or resource saturation.
  3. Prioritize issues based on their likely impact on system efficiency and stability.
  4. For each issue, explain the root cause and provide specific, actionable recommendations for resolution.
  5. If the logs indicate intermittent crashes, investigate patterns and suggest preventive measures.

Output format Provide a structured report with sections: Summary, Key Issues (each with severity, evidence, and recommended fix), and Preventive Measures. Use clear headings and bullet points. Keep the tone technical and concise.

Guardrails

  • Do not invent log entries or metrics; base all analysis solely on provided data.
  • Flag any assumptions about the environment or missing data.
  • Stay within the scope of database performance; do not provide generic IT advice.

Example {{database_logs}}: '2025-03-01 10:00:00 slow query: SELECT * FROM orders WHERE status='pending' took 12s; index missing on status column.' {{symptoms}}: 'Queries are slow during peak hours.' {{environment}}: 'PostgreSQL 14 on AWS RDS.'

Follow-up prompts

  • What specific indexes would you recommend for the slow queries identified?
  • How can I set up monitoring to catch these issues proactively?
  • What are the trade-offs of the suggested optimizations?