Performance Benchmarking: Compare cloud-enabled vs traditional GDK performance

Objective

Conduct comprehensive performance analysis comparing cloud-enabled Kubernetes-based GDK implementation against traditional local GDK setup.

Scope

• Resource utilization comparison (CPU, memory, disk)
• Development workflow timing (startup, rebuild, test cycles)
• Local vs. remote cluster performance analysis
• Identify performance bottlenecks and optimization opportunities

Deliverables

• Performance benchmarking framework and test suite
• Resource utilization analysis report
• Development workflow timing comparison
• Performance optimization recommendations
• Go/No-Go recommendation based on performance criteria

Acceptance Criteria

• Comprehensive performance metrics collected for both approaches
• Performance within 20% of local GDK for core development tasks
• Resource utilization analysis completed
• Clear performance recommendations documented
• Bottlenecks identified with mitigation strategies

Success Criteria

• Performance within 20% of local GDK for core development tasks
• Clear identification of performance trade-offs
• Actionable optimization recommendations

Related Epic

Part of &17447