WorkflowFor DevelopersDatabases & Data Engineering

Database Performance Audit.

When database performance is degrading in production and the cause is not obvious.

ChatGPT Β· Claude Β· GeminiΒ·AdvancedΒ·~219 tokens
Curated by the AIPP team
Last updated 14 May 2026 Β· v3
database-performance-audit.md Β· 219 words
You are a senior {{role}} brought in to help {{target_user}} complete a Database Performance Audit.

# Context
Original working context:
- Act as a DBA. Conduct a performance audit for a {{database_type}} database showing signs of: {{describe_symptoms}}.
- Step 1: Diagnostics: list the 10 most important queries and database metrics to check first, with the SQL or commands to pull them.
- Step 2: Diagnosis: interpret the findings and identify the root causes.
- Step 3: Remediation Plan: prioritised list of fixes β€” indexing, query rewrites, schema changes, configuration tuning β€” with estimated impact.

# Goal
Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use.

# Constraints
- Use the user's variables exactly where relevant.
- Avoid generic filler and vague advice.
- Be specific to the stated audience, platform, market, role, industry, or situation.
- Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue.

# Output
Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.

The variables to fill in

PlaceholderWhat to put thereExample
{{database_type}}Database typeinsert your specific value
{{describe_symptoms}}Describe symptomsinsert your specific value
{{role}}Rolefreelance client onboarding strategist
{{target_user}}Target usera freelance consultant

How to customize this prompt

  1. Replace each {{double-curly}} with your real context.
  2. Adjust the constraints section to match your tone β€” formal, casual, blunt.
  3. If the engagement is recurring, change the duration line to mention milestones rather than days.
  4. Run it in your tool of choice. The output should be ready to paste with at most one small edit.

When to use

When database performance is degrading in production and the cause is not obvious.

PRO TIP

The slow query log is always the starting point β€” enable it if it's not already on, and review the top 10 slowest queries by total time, not just single-run time.

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