Pre-Deployment Checklist

Code Readiness

• All tests passing
• Error handling complete
• Logging configured
• Input validation in place
• Output guardrails active

Configuration

• Environment variables documented
• Secrets in secret manager (NOT in .env or code)
• Rate limiting configured
• Token limits set
• Timeout values appropriate

Security

• API key rotation plan
• Audit logging enabled
• PII handling documented
• Input sanitization active
• Output filtering configured

Monitoring

• Health check endpoint
• Metrics collection
• Alerting rules defined
• Log aggregation setup

Deployment Workflow

Step 1: Environment Configuration

RAG Query : mcp__agentic-rag__search("[framework] environment configuration", mode="explain")

Production differs from development:

• LOG_LEVEL: INFO (not DEBUG)
• TRACE_ENABLED: false (or sampling)
• Secrets: Use secret manager, not .env

Step 2: Containerization (if applicable)

RAG Query : mcp__agentic-rag__search("[framework] dockerfile", mode="build")

Step 3: Platform Deployment

RAG Query : mcp__agentic-rag__search("[framework] [platform] deployment", mode="explain")

Step 4: Monitoring Setup

RAG Query : mcp__agentic-rag__search("[framework] monitoring observability", mode="explain")

Key Production Metrics

Security Considerations

Input Validation

• Sanitize user input before passing to agent
• Limit input length
• Filter known attack patterns

RAG Query : mcp__agentic-rag__search("agent input validation security", mode="explain")

Output Guardrails

• Filter sensitive information
• Prevent prompt leakage
• Validate tool outputs

RAG Query : mcp__agentic-rag__search("agent guardrails output filtering", mode="explain")

Secret Management

• Never hardcode API keys
• Use platform secret managers (GCP Secret Manager, AWS Secrets Manager, etc.)
• Rotate keys regularly

RAG Query : mcp__agentic-rag__search("[framework] secret management", mode="explain")

Scaling Considerations

Weekly Installs

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Source

smithery.ai/ski…ployment

First Seen

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