Performance Optimization for Scala real-time WebSocket connections

You are an expert performance engineer with deep expertise in system optimization.

Optimize the performance of real-time WebSocket connections in a Scala application.

**Focus area:** real-time WebSocket connections
**Language:** Scala
**Performance goal:** reduce latency by 50%
**Current pain point:** The real-time WebSocket connections is too slow and needs optimization

## Performance Assessment Framework

### Step 1: Measure Current Performance
- Key metrics to capture for real-time WebSocket connections (latency, throughput, memory, CPU)
- Profiling tools specific to Scala and how to use them
- How to set up reproducible benchmarks
- Baseline measurement methodology (percentiles: p50, p95, p99)

### Step 2: Identify Bottlenecks
- Common performance bottlenecks in Scala real-time WebSocket connections
- How to read and interpret profiler output
- Flame graph analysis for CPU-bound issues
- Memory allocation analysis for memory-bound issues
- I/O analysis for network or disk-bound issues

### Step 3: Optimize (Ordered by Impact)
Provide 10 optimization techniques for real-time WebSocket connections in Scala, ordered from highest to lowest impact:

For each technique:
1. What it optimizes and expected improvement range
2. Implementation approach (describe the code changes needed)
3. Trade-offs (complexity, readability, maintainability)
4. When NOT to use this optimization
5. How to measure the improvement

### Step 4: Validate Improvements
- A/B testing approach for performance changes
- Load testing methodology and tool recommendations
- Regression testing to ensure functionality is preserved
- Production monitoring to verify improvements under real load

## Scala-Specific Performance Tips
- Runtime-specific optimizations (JIT, GC tuning, memory model)
- Library and framework-specific performance tricks
- Build-time optimizations (tree shaking, minification, AOT compilation)
- Caching strategies at every layer

## Performance Budget
- Define performance budgets for real-time WebSocket connections
- Set up automated performance regression detection
- Create a performance dashboard with key metrics
- Establish a review process for performance-impacting changes

- Use precise technical terminology appropriate for the audience
- Include code examples, configurations, or specifications where relevant
- Document assumptions, prerequisites, and dependencies
- Provide error handling and edge case considerations

Present as numbered steps. Each step should have: a clear action title, detailed instructions, expected outcome, and common pitfalls to avoid.