Performance testing and optimization for batched logging

## Objective

Validate performance improvements and optimize the batched logging system.

## Testing Scenarios

### Load Testing

1. **High Volume Scenario**
- Generate 10,000 logs/second
- Measure queue depth stability
- Verify no log loss
1. **Burst Scenario**
- Simulate sudden spike (1000 logs at once)
- Verify system recovery
- Check flush behavior
1. **Sustained Load**
- Run for 1 hour with steady load
- Monitor memory usage
- Check for memory leaks

### Performance Benchmarks

1. **Baseline Comparison**
- Before: Direct DB write per log
- After: Batched writes
- Measure: DB transaction count, latency, throughput
1. **Target Metrics**
- 90% reduction in DB transactions
- < 10ms enqueue latency
- No log data loss

### Optimization Areas

1. **Batch Size Tuning**
- Test different batch sizes (50, 100, 200, 500)
- Find optimal balance (latency vs throughput)
1. **Flush Interval Tuning**
- Test intervals (1s, 5s, 10s)
- Measure impact on latency and DB load
1. **Queue Capacity**
- Test with different queue sizes
- Verify backpressure handling

## Deliverables

- Performance test results
- Recommended configuration values
- Optimization report
- Documentation updates

## Acceptance Criteria

- Performance targets met
- No regressions in functionality
- Configuration recommendations documented
- System stable under load

JIRA Issue: BA-4239