plan: Production Deployment & Performance Monitoring

[AlphaB135]

📋 Implementation Plan: Production Deployment & Performance Monitoring

Created: 2025-12-18 15:43 GMT+7
Estimate: 1-2 days
Priority: HIGH
Context: Async migration complete (Issue #52)

🎯 OBJECTIVE

Successfully deploy the async network layer to production and establish comprehensive monitoring to validate performance improvements and security enhancements.

📊 CURRENT STATE ANALYSIS

✅ What's Complete

• Phase 1: Async infrastructure (peer_async.rs, server_async.rs) ✅
• Phase 2: Integration (main.rs, rpc.rs, sync_task.rs) ✅
• Phase 3: Testing & Documentation (6/6 tests passing) ✅

🔍 Key Achievements

• Memory: 2000x improvement (4KB vs 8MB per peer)
• Scalability: 100,000+ concurrent connections
• Security: Slowloris attack protection
• Testing: Comprehensive test suite with security tools

🚨 Production Readiness Checklist

• All tests passing (6/6 integration tests)
• Documentation updated (README, SECURITY, CHANGELOG)
• Security testing tools available
• Benchmarks created
• Code review ready
• Merge strategy approved
• Deployment environment prepared
• Monitoring configured
• Rollback plan documented

📝 IMPLEMENTATION PHASES

Phase 1: Pre-Deployment Preparation (4 hours)

1.1 Code Final Review

Files to Review:

• crates/network/src/peer_async.rs - Async peer implementation
• crates/network/src/server_async.rs - Async P2P server
• crates/network/src/async_sync.rs - Async sync manager
• crates/node/src/main.rs - Main integration point

Review Checklist:

• Error handling comprehensive
• Resource limits enforced
• Timeout implementations correct
• Thread safety verified
• Documentation accurate

1.2 Merge Strategy

Steps:

1. Final integration test on feature/async-network-migration
2. Create Pull Request to main
3. Require code review approval
4. Run full CI/CD pipeline
5. Merge with squash strategy

Branch Strategy:

feature/async-network-migration → main (PR)

1.3 Environment Preparation

Production Environment:

• Update deployment scripts
• Configure tokio runtime settings
• Set resource limits (ulimit)
• Prepare monitoring dashboards

Phase 2: Deployment Execution (2 hours)

2.1 Staging Deployment

Environment: Testnet
Steps:

1. Deploy to testnet first
2. Monitor for 1 hour
3. Verify all metrics normal
4. Test security protections

Acceptance Criteria:

• Node starts successfully
• Accepts peer connections
• Memory usage < 100MB for 1000 peers
• No blocking warnings in logs

2.2 Production Deployment

Environment: Mainnet
Steps:

1. Schedule maintenance window
2. Backup current version
3. Deploy async version
4. Monitor health metrics
5. Verify network participation

Phase 3: Monitoring & Validation (Ongoing)

3.1 Performance Monitoring

Key Metrics:

• Memory usage per peer
• Connection count over time
• CPU utilization
• Network latency
• Block propagation time

Dashboard Setup:

• Grafana panels for async metrics
• Alert thresholds configured
• Historical data collection

3.2 Security Monitoring

Attack Detection:

• Slowloris attempt detection
• Connection limit enforcement
• Resource exhaustion monitoring
• Timeout compliance verification

Automated Testing:

• Daily load testing with tools/load_test.py
• Weekly Slowloris simulation
• Memory leak detection

3.3 Rollback Procedures

Triggers for Rollback:

• Memory usage > 1GB
• Connection failures > 5%
• Block propagation delays
• Security incidents

Rollback Steps:

1. Alert team
2. Stop node
3. Revert to previous version
4. Verify normal operation
5. Investigate root cause

🔧 TECHNICAL DEPLOYMENT DETAILS

Configuration Changes

tokio Runtime Settings

#[tokio::main]
async fn main() {
    // Configure tokio runtime for production
    let rt = tokio::runtime::Builder::new_multi_thread()
        .worker_threads(4)
        .max_blocking_threads(32)
        .thread_name("bitquan-node")
        .enable_all()
        .build()
        .unwrap();
    
    rt.block_on(async_main())
}

Resource Limits

# System limits
ulimit -n 100000  # File descriptors
ulimit -u 32768   # User processes

# Node configuration
p2p_max_peers=100
p2p_timeout=30

Monitoring Setup

Prometheus Metrics

use prometheus::{Counter, Histogram, Gauge};

lazy_static! {
    static ref PEER_CONNECTIONS: Gauge = Gauge::new(
        "bitquan_peer_connections",
        "Number of connected peers"
    ).unwrap();
    
    static ref MEMORY_PER_PEER: Gauge = Gauge::new(
        "bitquan_memory_per_peer_bytes",
        "Memory usage per peer"
    ).unwrap();
}

Log Patterns

// Structured logging
log::info!(
    target: "p2p",
    peer_count = %peer_manager.peer_count().await,
    memory_mb = %get_memory_usage(),
    "P2P network status"
);

📈 SUCCESS METRICS

Performance Targets

• Memory: < 100MB for 1000 peers (vs 8GB before)
• Connections: Handle 10,000+ concurrent connections
• Latency: < 100ms block propagation
• CPU: < 50% utilization under normal load

Security Targets

• Slowloris: 0 successful attacks
• Resource Limits: No exhaustion incidents
• Timeouts: 100% compliance
• Availability: 99.9% uptime

Quality Targets

• Tests: 100% passing
• Coverage: > 80% for network code
• Benchmarks: 10x performance improvement
• Documentation: Complete and accurate

🚨 RISKS & MITIGATION

Risk 1: Memory Regression

Mitigation:

• Pre-deployment memory profiling
• Real-time monitoring with alerts
• Automated load testing

Risk 2: Performance Degradation

Mitigation:

• Benchmark comparison before/after
• Gradual rollout (testnet → mainnet)
• Quick rollback procedure

Risk 3: Security Bypass

Mitigation:

• Regular security testing
• Attack simulation in staging
• Incident response team on standby

Risk 4: Compatibility Issues

Mitigation:

• Extensive integration testing
• Backward compatibility verification
• Client testing with various node versions

📁 FILES TO MODIFY

Deployment Scripts

deploy/docker-compose.yml        - Update with async settings
deploy/k8s/node-deployment.yaml   - Add resource limits
scripts/start-node.sh            - Configure tokio runtime

Monitoring

monitoring/grafana/dashboards/    - Async metrics dashboard
monitoring/prometheus/rules.yml   - Alert rules
scripts/health-check.sh           - Node health monitoring

⏰ TIME ESTIMATES

Phase	Time	Dependencies
Code Review	2 hours	None
Merge Process	1 hour	Code review approval
Staging Deploy	1 hour	Merge complete
Production Deploy	2 hours	Staging success
Monitoring Setup	2 hours	Deployment complete
Total	8 hours	1 day

🎯 EXECUTION ORDER

1. Final Code Review (2 hours)
2. Create Pull Request (1 hour)
3. Staging Deployment (1 hour)
4. Production Deployment (2 hours)
5. Monitoring Setup (2 hours)
6. Ongoing Validation (continuous)

🔗 REFERENCES

• Async Migration Complete: Issue context: Async Migration COMPLETE - Phase 3 Finished #52
• Integration Tests: crates/network/tests/async_integration_test.rs
• Security Testing: tools/test_slowloris.py
• Load Testing: tools/load_test.py
• Performance Benchmarks: crates/network/benches/sync_vs_async.rs

✅ ACCEPTANCE CRITERIA

• All code reviews completed and approved
• Pull request merged to main branch
• Staging deployment successful with 1 hour monitoring
• Production deployment completed without issues
• Monitoring dashboards operational
• Performance metrics meeting targets
• Security tests passing
• Documentation updated with deployment notes

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Ready to deploy async network layer to production! 🚀