Home/Agentic AI/Deployment Strategies/Staging & Testing

Deployment Strategies

Master deployment strategies for AI agents including staging, canary releases, and rollback procedures

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Staging & Testing

Staging is your production dress rehearsal. Test with production-like data, infrastructure, and load before real users see changes. Run comprehensive test suites: functional, integration, performance, security, and user acceptance. A bug caught in staging costs $0. A bug in production costs trust.

Interactive: Staging Test Suite Runner

Simulate running a comprehensive test suite in staging before production deployment:

Click 'Run Staging Tests' to validate deployment

What to Test in Staging

  • •Functional: Agent responds correctly to all supported queries
  • •Integration: Tools, APIs, databases work together properly
  • •Performance: Latency, throughput meet targets under load
  • •Security: No data leaks, prompt injections, or unauthorized access
  • •User acceptance: Real users test and approve new behavior
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Production Parity Is Critical

Staging must mirror production: same infrastructure, same data volume (sanitized), same traffic patterns. "Works in staging" only matters if staging looks like production. Test with real user queries from production logs. A staging environment that doesn't match production catches toy problems, not real ones.

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