Migrate QAB Quoting Web Services to Serverless
Proposal to migrate legacy Qab quoting web services to QabQuote serverless stack
Summary
Proposal to migrate legacy Qab quoting web services to a modern serverless architecture using the QabQuote serverless stack.
Rationale
[To be filled in - reasons for migrating to serverless]
Key benefits expected:
- Modernize legacy infrastructure
- Improved scalability and reliability
- Reduced maintenance burden
- Cost optimization
- Enhanced deployment practices
Affected Applications
No applications currently associated with this proposal.
Impact
Services Affected
- QAB quoting web services
- [List additional services and dependencies]
Technical Considerations
- Legacy code modernization requirements
- API compatibility with existing consumers
- Integration points with other systems
- Performance and response time requirements
- Session management in serverless context
Data Considerations
- Database access patterns
- Quote data storage and retrieval
- State management
- Caching requirements
Implementation Plan
Phase 1: Assessment & Design
- Document current web service functionality
- Identify all consumers and integration points
- Design serverless architecture for QabQuote
- Define migration strategy for legacy code
- Assess infrastructure requirements
- Create proof of concept
Phase 2: Development
- Set up QabQuote serverless infrastructure
- Migrate/refactor quoting logic
- Implement serverless endpoints
- Configure API Gateway and routing
- Set up authentication and authorization
- Implement monitoring and logging
- Create comprehensive test suite
Phase 3: Migration
- Deploy to staging environment
- Integration testing with consumers
- Performance and load testing
- User acceptance testing
- Security review
- Create rollback procedures
Phase 4: Cutover
- Gradual traffic migration to new stack
- Monitor service health and performance
- Update consumer configurations
- Decommission legacy web services
- Archive legacy code and documentation
Risks & Mitigation
| Risk | Impact | Mitigation |
|---|---|---|
| Service disruption | High | Gradual cutover with parallel running systems |
| Legacy code complexity | High | Thorough documentation and refactoring plan |
| Integration breakage | High | Extensive integration testing before cutover |
| Performance issues | Medium | Load testing and capacity planning |
| Data inconsistency | High | Thorough testing of quote calculations |
| Loss of domain knowledge | Medium | Document business logic during migration |
Timeline
[To be determined]
Status
Current Status: Draft
History:
- 2025-12-22: Proposal created