mev-beta/docs/CRITICAL_FIXES_RECOMMENDATIONS_20251030.md

Critical Fixes and Recommendations

Date: 2025-10-30 Priority: URGENT - Production System Failure Related: LOG_ANALYSIS_COMPREHENSIVE_REPORT_20251030.md

🚨 IMMEDIATE ACTIONS (Next 24 Hours)

Priority 0: Fix WebSocket Connection

Issue: 9,065 "unsupported protocol scheme wss" errors Impact: Cannot connect to Arbitrum network via WebSocket

Root Cause

Code is using HTTP client (http.Post) to connect to WebSocket URLs (wss://)

Fix Required

File: pkg/arbitrum/connection.go or pkg/monitor/concurrent.go

Current (Incorrect):

// Somewhere in connection initialization
client, err := rpc.Dial(wsEndpoint)  // or similar HTTP-based call
resp, err := http.Post(wsEndpoint, ...)  // WRONG for WebSocket

Fixed (Correct):

import (
    "github.com/ethereum/go-ethereum/ethclient"
)

// For WebSocket connections
func connectWebSocket(wsURL string) (*ethclient.Client, error) {
    client, err := ethclient.Dial(wsURL)
    if err != nil {
        return nil, fmt.Errorf("failed to connect to %s: %w", wsURL, err)
    }
    return client, nil
}

// For HTTP connections (fallback)
func connectHTTP(httpURL string) (*ethclient.Client, error) {
    client, err := ethclient.Dial(httpURL)
    if err != nil {
        return nil, fmt.Errorf("failed to connect to %s: %w", httpURL, err)
    }
    return client, nil
}

Implementation Steps:

1. Locate RPC client initialization code
2. Check if using rpc.Dial() vs ethclient.Dial()
3. Ensure WebSocket URLs use ethclient.Dial() directly
4. Remove any HTTP POST attempts to WebSocket endpoints
5. Test connection with: timeout 30 ./mev-bot start

Validation:

# Should see successful WebSocket connection
LOG_LEVEL=debug ./mev-bot start 2>&1 | grep -i "websocket\|wss"

Priority 0: Fix Zero Address Parsing

Issue: 100% of liquidity events contain zero addresses Impact: Invalid event data, corrupted arbitrage detection

Root Cause

Token address extraction from transaction logs returning zero addresses instead of actual token addresses.

Fix Required

File: pkg/arbitrum/abi_decoder.go

Current Issue: Token extraction logic likely doing:

// WRONG - returning zero address on extraction failure
func extractTokenAddress(log types.Log) common.Address {
    // If parsing fails, returns common.Address{} which is 0x000...
    return common.Address{}
}

Fixed Implementation:

func extractTokenAddress(log types.Log, topicIndex int) (common.Address, error) {
    if len(log.Topics) <= topicIndex {
        return common.Address{}, fmt.Errorf("topic index %d out of range", topicIndex)
    }

    address := common.BytesToAddress(log.Topics[topicIndex].Bytes())

    // CRITICAL: Validate address is not zero
    if address == (common.Address{}) {
        return common.Address{}, fmt.Errorf("extracted zero address from topic %d", topicIndex)
    }

    return address, nil
}

// For event parsing
func parseSwapEvent(log types.Log) (*SwapEvent, error) {
    // Extract token addresses from pool
    pool, err := getPoolContract(log.Address)
    if err != nil {
        return nil, fmt.Errorf("failed to get pool: %w", err)
    }

    token0, err := pool.Token0(nil)
    if err != nil {
        return nil, fmt.Errorf("failed to get token0: %w", err)
    }

    token1, err := pool.Token1(nil)
    if err != nil {
        return nil, fmt.Errorf("failed to get token1: %w", err)
    }

    // Validate addresses
    if token0 == (common.Address{}) || token1 == (common.Address{}) {
        return nil, fmt.Errorf("zero address detected: token0=%s, token1=%s", token0.Hex(), token1.Hex())
    }

    return &SwapEvent{
        Token0Address: token0,
        Token1Address: token1,
        // ...
    }, nil
}

Additional Checks Needed:

1. Add validation before event submission
2. Log and skip events with zero addresses
3. Add metrics for zero address detections
4. Review pool contract call logic

Validation:

# Check for zero addresses in new events
tail -f logs/liquidity_events_*.jsonl | jq -r '.token0Address, .token1Address' | grep -v "0x0000000000000000000000000000000000000000"

Priority 0: Implement Rate Limiting Strategy

Issue: 100,709 rate limit errors (429 Too Many Requests) Impact: Service degradation, failed API calls, incomplete data

Short-Term Fix (Immediate)

File: internal/config/config.go and pkg/arbitrum/connection.go

type RateLimiter struct {
    limiter   *rate.Limiter
    maxRetries int
    backoff    time.Duration
}

func NewRateLimiter(rps int, burst int) *RateLimiter {
    return &RateLimiter{
        limiter:   rate.NewLimiter(rate.Limit(rps), burst),
        maxRetries: 3,
        backoff:    time.Second,
    }
}

func (rl *RateLimiter) Do(ctx context.Context, fn func() error) error {
    for attempt := 0; attempt <= rl.maxRetries; attempt++ {
        // Wait for rate limit token
        if err := rl.limiter.Wait(ctx); err != nil {
            return fmt.Errorf("rate limiter error: %w", err)
        }

        err := fn()
        if err == nil {
            return nil
        }

        // Check if it's a rate limit error
        if strings.Contains(err.Error(), "429") || strings.Contains(err.Error(), "Too Many Requests") {
            backoff := rl.backoff * time.Duration(1<<attempt) // Exponential backoff
            log.Printf("Rate limited, backing off for %v (attempt %d/%d)", backoff, attempt+1, rl.maxRetries)
            time.Sleep(backoff)
            continue
        }

        return err // Non-rate-limit error
    }

    return fmt.Errorf("max retries exceeded")
}

Configuration:

# config/arbitrum_production.yaml
rpc:
  rate_limit:
    requests_per_second: 10  # Conservative limit
    burst: 20
    max_retries: 3
    backoff_seconds: 1

Apply to all RPC calls:

// Example usage
err := rateLimiter.Do(ctx, func() error {
    block, err := client.BlockByNumber(ctx, blockNum)
    return err
})

Long-Term Fix (48 hours)

Upgrade RPC Provider:

1. Option A: Purchase paid Chainstack plan with higher RPS limits
2. Option B: Add multiple RPC providers with load balancing
3. Option C: Run local Arbitrum archive node

Recommended Multi-Provider Setup:

type RPCProvider struct {
    Name     string
    Endpoint string
    RPS      int
    Priority int
}

var providers = []RPCProvider{
    {Name: "Chainstack", Endpoint: "wss://arbitrum-mainnet.core.chainstack.com/...", RPS: 25, Priority: 1},
    {Name: "Alchemy", Endpoint: "wss://arb-mainnet.g.alchemy.com/v2/YOUR_KEY", RPS: 50, Priority: 2},
    {Name: "Infura", Endpoint: "wss://arbitrum-mainnet.infura.io/ws/v3/YOUR_KEY", RPS: 50, Priority: 3},
    {Name: "Fallback", Endpoint: "https://arb1.arbitrum.io/rpc", RPS: 5, Priority: 4},
}

🔧 CRITICAL FIXES (24-48 Hours)

Fix 1: Connection Manager Resilience

File: pkg/arbitrum/connection.go

Enhanced Connection Manager:

type EnhancedConnectionManager struct {
    providers      []RPCProvider
    activeProvider int
    rateLimiters   map[string]*RateLimiter
    healthChecks   map[string]*HealthStatus
    mu             sync.RWMutex
}

type HealthStatus struct {
    LastCheck     time.Time
    IsHealthy     bool
    ErrorCount    int
    SuccessCount  int
    Latency       time.Duration
}

func (m *EnhancedConnectionManager) GetClient(ctx context.Context) (*ethclient.Client, error) {
    m.mu.RLock()
    defer m.mu.RUnlock()

    // Try providers in priority order
    for _, provider := range m.sortedProviders() {
        health := m.healthChecks[provider.Name]

        // Skip unhealthy providers
        if !health.IsHealthy {
            continue
        }

        // Apply rate limiting
        limiter := m.rateLimiters[provider.Name]
        var client *ethclient.Client

        err := limiter.Do(ctx, func() error {
            c, err := ethclient.DialContext(ctx, provider.Endpoint)
            if err != nil {
                return err
            }
            client = c
            return nil
        })

        if err == nil {
            m.updateHealthSuccess(provider.Name)
            return client, nil
        }

        m.updateHealthFailure(provider.Name, err)
    }

    return nil, fmt.Errorf("all RPC providers unavailable")
}

func (m *EnhancedConnectionManager) StartHealthChecks(ctx context.Context) {
    ticker := time.NewTicker(30 * time.Second)
    defer ticker.Stop()

    for {
        select {
        case <-ctx.Done():
            return
        case <-ticker.C:
            m.checkAllProviders(ctx)
        }
    }
}

Validation:

# Monitor connection switching
LOG_LEVEL=debug ./mev-bot start 2>&1 | grep -i "provider\|connection\|health"

Fix 2: Correct Health Scoring

File: scripts/log-manager.sh:188

Current Bug:

# Line 188 - unquoted variable causing "[: too many arguments"
if [ $error_rate -gt 10 ]; then

Fixed:

# Properly quote variables and handle empty values
if [ -n "$error_rate" ] && [ "$(echo "$error_rate > 10" | bc)" -eq 1 ]; then
    health_status="concerning"
elif [ -n "$error_rate" ] && [ "$(echo "$error_rate > 5" | bc)" -eq 1 ]; then
    health_status="warning"
else
    health_status="healthy"
fi

Enhanced Health Calculation:

calculate_health_score() {
    local total_lines=$1
    local error_lines=$2
    local warning_lines=$3
    local rpc_errors=$4
    local zero_addresses=$5

    # Start with 100
    local health_score=100

    # Deduct for error rate
    local error_rate=$(echo "scale=2; $error_lines * 100 / $total_lines" | bc -l 2>/dev/null || echo 0)
    health_score=$(echo "$health_score - $error_rate" | bc)

    # Deduct for RPC failures (each 100 failures = -1 point)
    local rpc_penalty=$(echo "scale=2; $rpc_errors / 100" | bc -l 2>/dev/null || echo 0)
    health_score=$(echo "$health_score - $rpc_penalty" | bc)

    # Deduct for zero addresses (each occurrence = -0.01 point)
    local zero_penalty=$(echo "scale=2; $zero_addresses / 100" | bc -l 2>/dev/null || echo 0)
    health_score=$(echo "$health_score - $zero_penalty" | bc)

    # Floor at 0
    if [ "$(echo "$health_score < 0" | bc)" -eq 1 ]; then
        health_score=0
    fi

    echo "$health_score"
}

Fix 3: Port Conflict Resolution

Issue: Metrics (9090) and Dashboard (8080) port conflicts

File: cmd/mev-bot/main.go

Current:

go startMetricsServer(":9090")
go startDashboard(":8080")

Fixed with Port Checking:

func startWithPortCheck(service string, preferredPort int, handler http.Handler) error {
    port := preferredPort
    maxAttempts := 5

    for attempt := 0; attempt < maxAttempts; attempt++ {
        addr := fmt.Sprintf(":%d", port)
        server := &http.Server{
            Addr:    addr,
            Handler: handler,
        }

        listener, err := net.Listen("tcp", addr)
        if err != nil {
            log.Printf("%s port %d in use, trying %d", service, port, port+1)
            port++
            continue
        }

        log.Printf("✅ %s started on port %d", service, port)
        return server.Serve(listener)
    }

    return fmt.Errorf("failed to start %s after %d attempts", service, maxAttempts)
}

// Usage
go startWithPortCheck("Metrics", 9090, metricsHandler)
go startWithPortCheck("Dashboard", 8080, dashboardHandler)

Alternative - Environment Variables:

metricsPort := os.Getenv("METRICS_PORT")
if metricsPort == "" {
    metricsPort = "9090"
}

dashboardPort := os.Getenv("DASHBOARD_PORT")
if dashboardPort == "" {
    dashboardPort = "8080"
}

📋 HIGH PRIORITY FIXES (48-72 Hours)

Fix 4: Implement Request Caching

Why: Reduce RPC calls by 60-80%

File: pkg/arbitrum/pool_cache.go (new)

type PoolDataCache struct {
    cache *cache.Cache // Using patrickmn/go-cache
    mu    sync.RWMutex
}

type CachedPoolData struct {
    Token0    common.Address
    Token1    common.Address
    Fee       *big.Int
    Liquidity *big.Int
    FetchedAt time.Time
}

func NewPoolDataCache() *PoolDataCache {
    return &PoolDataCache{
        cache: cache.New(5*time.Minute, 10*time.Minute),
    }
}

func (c *PoolDataCache) GetPoolData(ctx context.Context, poolAddr common.Address, fetcher func() (*CachedPoolData, error)) (*CachedPoolData, error) {
    key := poolAddr.Hex()

    // Check cache first
    if data, found := c.cache.Get(key); found {
        return data.(*CachedPoolData), nil
    }

    // Cache miss - fetch from RPC
    data, err := fetcher()
    if err != nil {
        return nil, err
    }

    // Store in cache
    c.cache.Set(key, data, cache.DefaultExpiration)

    return data, nil
}

Usage:

poolData, err := poolCache.GetPoolData(ctx, poolAddress, func() (*CachedPoolData, error) {
    // This only runs on cache miss
    token0, _ := poolContract.Token0(nil)
    token1, _ := poolContract.Token1(nil)
    fee, _ := poolContract.Fee(nil)
    liquidity, _ := poolContract.Liquidity(nil)

    return &CachedPoolData{
        Token0:    token0,
        Token1:    token1,
        Fee:       fee,
        Liquidity: liquidity,
        FetchedAt: time.Now(),
    }, nil
})

Fix 5: Batch RPC Requests

File: pkg/arbitrum/batch_requests.go (new)

type BatchRequest struct {
    calls []rpc.BatchElem
    mu    sync.Mutex
}

func (b *BatchRequest) AddPoolDataRequest(poolAddr common.Address) int {
    b.mu.Lock()
    defer b.mu.Unlock()

    idx := len(b.calls)

    // Add all pool data calls in one batch
    b.calls = append(b.calls,
        rpc.BatchElem{Method: "eth_call", Args: []interface{}{/* token0 call */}},
        rpc.BatchElem{Method: "eth_call", Args: []interface{}{/* token1 call */}},
        rpc.BatchElem{Method: "eth_call", Args: []interface{}{/* fee call */}},
        rpc.BatchElem{Method: "eth_call", Args: []interface{}{/* liquidity call */}},
    )

    return idx
}

func (b *BatchRequest) Execute(client *rpc.Client) error {
    b.mu.Lock()
    defer b.mu.Unlock()

    if len(b.calls) == 0 {
        return nil
    }

    err := client.BatchCall(b.calls)
    if err != nil {
        return fmt.Errorf("batch call failed: %w", err)
    }

    // Check individual results
    for i, call := range b.calls {
        if call.Error != nil {
            log.Printf("Batch call %d failed: %v", i, call.Error)
        }
    }

    return nil
}

Impact: Reduce 4 separate RPC calls per pool to 1 batch call

• Before: 100 pools × 4 calls = 400 RPC requests
• After: 100 pools ÷ 1 batch = 1 RPC request (with 400 sub-calls)

Fix 6: Improve Arbitrage Profitability Calculation

File: pkg/arbitrage/detection_engine.go

Issues:

1. Gas cost estimation too high
2. Slippage tolerance too conservative
3. Zero amounts causing invalid calculations

Enhanced Calculation:

type ProfitCalculator struct {
    gasPrice        *big.Int
    priorityFee     *big.Int
    slippageBps     int64  // Basis points (100 = 1%)
    minProfitUSD    float64
    executionGasLimit uint64
}

func (pc *ProfitCalculator) CalculateNetProfit(opp *Opportunity) (*ProfitEstimate, error) {
    // Validate inputs
    if opp.AmountIn.Cmp(big.NewInt(0)) == 0 || opp.AmountOut.Cmp(big.NewInt(0)) == 0 {
        return nil, fmt.Errorf("zero amount detected: amountIn=%s, amountOut=%s",
            opp.AmountIn.String(), opp.AmountOut.String())
    }

    // Calculate gross profit in ETH
    grossProfit := new(big.Int).Sub(opp.AmountOut, opp.AmountIn)
    grossProfitETH := new(big.Float).Quo(
        new(big.Float).SetInt(grossProfit),
        new(big.Float).SetInt(big.NewInt(1e18)),
    )

    // Realistic gas estimation
    gasLimit := pc.executionGasLimit  // e.g., 300,000
    if opp.IsMultiHop {
        gasLimit *= 2  // Multi-hop needs more gas
    }

    gasPrice := new(big.Int).Add(pc.gasPrice, pc.priorityFee)
    gasCost := new(big.Int).Mul(gasPrice, big.NewInt(int64(gasLimit)))
    gasCostETH := new(big.Float).Quo(
        new(big.Float).SetInt(gasCost),
        new(big.Float).SetInt(big.NewInt(1e18)),
    )

    // Apply slippage tolerance
    slippageMultiplier := float64(10000-pc.slippageBps) / 10000.0
    grossProfitWithSlippage, _ := new(big.Float).Mul(
        grossProfitETH,
        big.NewFloat(slippageMultiplier),
    ).Float64()

    gasCostFloat, _ := gasCostETH.Float64()
    netProfitETH := grossProfitWithSlippage - gasCostFloat

    // Calculate in USD
    ethPriceUSD := pc.getETHPrice()  // From oracle or cache
    netProfitUSD := netProfitETH * ethPriceUSD

    return &ProfitEstimate{
        GrossProfitETH:    grossProfitETH,
        GasCostETH:        gasCostETH,
        NetProfitETH:      big.NewFloat(netProfitETH),
        NetProfitUSD:      netProfitUSD,
        IsExecutable:      netProfitUSD >= pc.minProfitUSD,
        SlippageApplied:   pc.slippageBps,
        GasLimitUsed:      gasLimit,
    }, nil
}

Configuration:

# config/arbitrum_production.yaml
arbitrage:
  profit_calculation:
    min_profit_usd: 5.0  # Minimum $5 profit
    slippage_bps: 50     # 0.5% slippage tolerance
    gas_limit: 300000    # Base gas limit
    priority_fee_gwei: 0.1  # Additional priority fee

🔄 OPERATIONAL IMPROVEMENTS (Week 1)

Improvement 1: Automated Log Rotation

File: /etc/logrotate.d/mev-bot (system config)

/home/administrator/projects/mev-beta/logs/*.log {
    daily
    rotate 7
    compress
    delaycompress
    missingok
    notifempty
    create 0600 administrator administrator
    size 50M
    postrotate
        /usr/bin/systemctl reload mev-bot.service > /dev/null 2>&1 || true
    endscript
}

Improvement 2: Real-Time Alerting

File: pkg/monitoring/alerts.go (new)

type AlertManager struct {
    slackWebhook  string
    emailSMTP     string
    thresholds    AlertThresholds
    alertState    map[string]time.Time
    mu            sync.Mutex
}

type AlertThresholds struct {
    ErrorRatePercent     float64  // Alert if >10%
    RPCFailuresPerMin    int      // Alert if >100/min
    ZeroAddressesPerHour int      // Alert if >10/hour
    NoOpportunitiesHours int      // Alert if no opps for N hours
}

func (am *AlertManager) CheckAndAlert(metrics *SystemMetrics) {
    am.mu.Lock()
    defer am.mu.Unlock()

    // Error rate alert
    if metrics.ErrorRate > am.thresholds.ErrorRatePercent {
        if am.shouldAlert("high_error_rate", 5*time.Minute) {
            am.sendAlert("🚨 HIGH ERROR RATE", fmt.Sprintf(
                "Error rate: %.2f%% (threshold: %.2f%%)\nTotal errors: %d",
                metrics.ErrorRate, am.thresholds.ErrorRatePercent, metrics.TotalErrors,
            ))
        }
    }

    // RPC failure alert
    rpcFailuresPerMin := metrics.RPCFailures / int(time.Since(metrics.StartTime).Minutes())
    if rpcFailuresPerMin > am.thresholds.RPCFailuresPerMin {
        if am.shouldAlert("rpc_failures", 10*time.Minute) {
            am.sendAlert("⚠️ RPC FAILURES", fmt.Sprintf(
                "RPC failures: %d/min (threshold: %d/min)\nCheck RPC providers and rate limits",
                rpcFailuresPerMin, am.thresholds.RPCFailuresPerMin,
            ))
        }
    }

    // Zero address alert
    if metrics.ZeroAddressesLastHour > am.thresholds.ZeroAddressesPerHour {
        if am.shouldAlert("zero_addresses", 1*time.Hour) {
            am.sendAlert("❌ ZERO ADDRESS CONTAMINATION", fmt.Sprintf(
                "Zero addresses detected: %d in last hour\nData integrity compromised",
                metrics.ZeroAddressesLastHour,
            ))
        }
    }
}

func (am *AlertManager) shouldAlert(alertType string, cooldown time.Duration) bool {
    lastAlert, exists := am.alertState[alertType]
    if !exists || time.Since(lastAlert) > cooldown {
        am.alertState[alertType] = time.Now()
        return true
    }
    return false
}

Improvement 3: Enhanced Logging with Context

File: All files using logging

Current:

log.Printf("[ERROR] Failed to get pool data: %v", err)

Enhanced:

import "log/slog"

logger := slog.With(
    "component", "pool_fetcher",
    "pool", poolAddress.Hex(),
    "block", blockNumber,
)

logger.Error("failed to get pool data",
    "error", err,
    "attempt", attempt,
    "rpc_endpoint", currentEndpoint,
)

Benefits:

• Structured logging for easy parsing
• Automatic context propagation
• Better filtering and analysis
• JSON output for log aggregation

📊 MONITORING & VALIDATION

Validation Checklist

After implementing fixes, validate each with:

# 1. WebSocket Connection Fix
✅ No "unsupported protocol scheme wss" errors in logs
✅ Successful WebSocket connection messages
✅ Block subscription working

# 2. Zero Address Fix
✅ No zero addresses in liquidity_events_*.jsonl
✅ Valid token addresses in all events
✅ Factory addresses are non-zero

# 3. Rate Limiting Fix
✅ "Too Many Requests" errors reduced by >90%
✅ Successful RPC calls >95%
✅ Automatic backoff observable in logs

# 4. Connection Manager Fix
✅ Automatic provider failover working
✅ Health checks passing
✅ All providers being utilized

# 5. Health Scoring Fix
✅ Health score reflects actual system state
✅ Score <80 when errors >20%
✅ Alerts triggering at correct thresholds

Performance Metrics to Track

Before Fixes:

• Error Rate: 81.1%
• RPC Failures: 100,709
• Zero Addresses: 5,462
• Successful Arbitrages: 0
• Opportunities Rejected: 100%

Target After Fixes:

• Error Rate: <5%
• RPC Failures: <100/day
• Zero Addresses: 0
• Successful Arbitrages: >0
• Opportunities Rejected: <80%

Test Commands

# Comprehensive system test
./scripts/comprehensive-test.sh

# Individual component tests
go test ./pkg/arbitrum/... -v
go test ./pkg/arbitrage/... -v
go test ./pkg/monitor/... -v

# Integration test with real data
LOG_LEVEL=debug timeout 60 ./mev-bot start 2>&1 | tee test-run.log

# Analyze test run
./scripts/log-manager.sh analyze
./scripts/log-manager.sh health

🎯 IMPLEMENTATION ROADMAP

Day 1 (Hours 0-24)

• Fix WebSocket connection (2 hours)
• Fix zero address parsing (3 hours)
• Implement basic rate limiting (2 hours)
• Fix health scoring script (1 hour)
• Test and validate (2 hours)
• Deploy to staging (1 hour)

Day 2 (Hours 24-48)

• Enhanced connection manager (4 hours)
• Fix port conflicts (1 hour)
• Add multiple RPC providers (2 hours)
• Implement request caching (3 hours)
• Full system testing (2 hours)

Day 3 (Hours 48-72)

• Batch RPC requests (3 hours)
• Improve profit calculation (2 hours)
• Add real-time alerting (2 hours)
• Enhanced logging (2 hours)
• Production deployment (3 hours)

Week 1 (Days 4-7)

• Log rotation automation
• Monitoring dashboard improvements
• Performance optimization
• Documentation updates
• Team training on new systems

🔒 RISK MITIGATION

Deployment Risks

Risk	Probability	Impact	Mitigation
WebSocket fix breaks HTTP fallback	Medium	High	Keep HTTP client as fallback
Rate limiting too aggressive	Medium	Medium	Make limits configurable
Cache serves stale data	Low	Medium	Add cache invalidation on errors
New errors introduced	Medium	High	Comprehensive testing + rollback plan

Rollback Plan

If issues occur after deployment:

# Quick rollback
git revert HEAD
make build
systemctl restart mev-bot

# Restore from backup
cp backups/mev-bot-backup-YYYYMMDD ./mev-bot
systemctl restart mev-bot

# Check rollback success
./scripts/log-manager.sh status
tail -f logs/mev_bot.log

Gradual Rollout

1. Staging (Day 1): Deploy all fixes, test for 24 hours
2. Canary (Day 2): Deploy to 10% of production capacity
3. Production (Day 3): Full production deployment
4. Monitoring (Week 1): Intensive monitoring and tuning

📚 ADDITIONAL RESOURCES

Documentation to Update

• CLAUDE.md - Add new configuration requirements
• README.md - Update deployment instructions
• TODO_AUDIT_FIX.md - Mark completed items
• API.md - Document new monitoring endpoints

Code Reviews Required

• WebSocket connection changes
• Zero address validation logic
• Rate limiting implementation
• Connection manager enhancements

Testing Requirements

• Unit tests for all new functions
• Integration tests for RPC connections
• Load testing for rate limiting
• End-to-end arbitrage execution test

---

Document Version: 1.0 Last Updated: 2025-10-30 Review Required: After each fix implementation Owner: MEV Bot Development Team