Summary

Create end-to-end benchmark documentation measuring performance when multiple ecosystem systems work together, not just in isolation.

Parent Issue

Part of: [EPIC] docs: Address documentation gaps across all ecosystem systems (#325)

Background (Why)

Each system has individual performance baselines:

• thread_system: 1.16M jobs/sec, P50 77ns
• logger_system: 4.34M msg/sec, 148ns latency
• container_system: 5M containers/sec, 25M ops/sec
• network_system: ~305K+ msg/s, sub-microsecond latency

However, no benchmarks exist for real-world scenarios where systems operate together. Performance in isolation may differ significantly from integrated usage due to:

• Resource contention (CPU, memory, I/O)
• Cross-system call overhead (adapter indirection)
• Thread pool sharing or competition
• Memory allocation patterns under combined load

Scope (What)

Create docs/performance/E2E_BENCHMARKS.md covering:

1. Benchmark Scenarios

2. Integration Overhead Measurement

• Adapter call overhead vs direct function call
• Service container lookup latency
• Cross-system error propagation cost
• Unified bootstrapper startup time

3. Resource Contention Analysis

• Thread pool competition between systems
• Memory allocation patterns under combined load
• I/O contention (file logging + database + network)
• CPU cache effects with multiple systems

4. Benchmark Methodology

• Hardware specification requirements
• Warm-up and measurement phases
• Statistical significance (iterations, confidence intervals)
• Reproducibility instructions

5. Optimization Recommendations

• Thread pool sizing for multi-system deployments
• Memory allocation tuning
• I/O scheduling recommendations
• Configuration templates for common scenarios

6. Benchmark Code

• Benchmark harness code (or location in repo)
• How to run benchmarks locally
• CI benchmark automation (if applicable)

Acceptance Criteria

• At least 4 end-to-end benchmark scenarios defined
• Integration overhead measured and documented
• Resource contention analysis included
• Benchmark methodology clearly described
• Optimization recommendations provided
• Reproducible benchmark instructions