LeakFinder - Production-Optimized Leak Detection Toolkit

High-performance, production-ready toolkit to detect goroutine and memory leaks in any Go application!

🌟 Features

🔍 Goroutine Leak Detection - Advanced pattern recognition
💾 Memory Leak Analysis - Heap and allocation tracking
🧠 GC Analysis - Distinguish real leaks from GC delays
⚡ Production Optimized - HTTP pooling, string interning, pre-compiled regexes
🎯 Focus Options - Analyze goroutines-only or memory-only
📊 Multiple Algorithms - Stack patterns, channel leaks (Uber LeakProf)
🚀 Real-time Monitoring - Continuous leak detection
📈 Trend Analysis - Datadog-inspired memory patterns
🔧 Highly Configurable - Custom patterns, thresholds, and rules
📄 Comprehensive Reports - Detailed analysis with recommendations

⚡ Performance Optimizations

This toolkit has been extensively optimized for production use:

🔄 HTTP Connection Pooling: Reuses connections for better performance
🧠 Pre-compiled Regexes: Compile once, use many times (2x faster parsing)
💾 Memory Pre-allocation: Reduces garbage collection pressure
🔗 String Interning: Reuses duplicate strings to save memory
📊 Unified Measurements: Single call gets both goroutine and memory data
🚀 Efficient Parsing: Direct string processing instead of line-by-line scanning
⏱️ Execution Time: ~1.25 seconds for comprehensive analysis

🎯 What This Does

This comprehensive, optimized toolkit helps you detect both goroutine and memory leaks in your Go applications with advanced configuration options and production-ready algorithms. It's been streamlined to just 2 essential files:

leakfinder.go - All-in-one optimized leak detection tool
leakfinder.sh - Enhanced runner script with advanced options

📦 Installation

Option 1: Download Binary (Recommended)

# Download latest release for your platform
curl -L https://github.com/ashutoshmishraji/leak-detection-toolkit/releases/latest/download/leakfinder-linux-amd64 -o leakfinder
chmod +x leakfinder
./leakfinder help

Option 2: Install with Go

go install github.com/ashutoshmishraji/leak-detection-toolkit@latest
leakfinder help

Option 3: Build from Source

git clone https://github.com/ashutoshmishraji/leak-detection-toolkit.git
cd leak-detection-toolkit
go build -o leakfinder leakfinder.go
./leakfinder help

Prerequisites

Go application with pprof enabled:

import _ "net/http/pprof"
go func() {
    log.Println(http.ListenAndServe("localhost:6060", nil))
}()

🚀 Quick Start

Option 1: Using Shell Script (Recommended)

# Quick health check (both goroutines and memory)
./leakfinder.sh check

# Focus on specific aspects
./leakfinder.sh check -goroutines-only     # Only goroutines
./leakfinder.sh check -memory-only         # Only memory

# Real-time monitoring with custom duration
./leakfinder.sh -monitor-duration=10m monitor
./leakfinder.sh -monitor-duration=5m monitor -goroutines-only

# Detailed analysis with verbose output
./leakfinder.sh -verbose analyze
./leakfinder.sh analyze -memory-only       # Memory-focused analysis

# Before/after comparison
./leakfinder.sh compare
./leakfinder.sh compare -goroutines-only   # Compare only goroutines

# Advanced leak detection algorithms
./leakfinder.sh patterns                   # Stack pattern analysis
./leakfinder.sh channels                   # Channel leak detection (Uber LeakProf)

🧠 GC Leak Analysis - Distinguish Real Leaks from GC Delays

Add -force-gc to any command to verify if detected leaks are real or just waiting for garbage collection:

# Add GC analysis to any command:
./leakfinder.sh check -force-gc              # Quick check + GC verification
./leakfinder.sh analyze -force-gc            # Detailed analysis + GC verification  
./leakfinder.sh compare -force-gc            # Before/after + GC verification
./leakfinder.sh monitor -force-gc            # Real-time monitoring + GC verification

# Combine with focus options:
./leakfinder.sh check -force-gc -memory-only     # Memory check + GC test
./leakfinder.sh analyze -force-gc -goroutines-only # Goroutine analysis + GC test

# Custom GC parameters:
./leakfinder.sh -gc-cycles=3 -gc-wait=60s check -force-gc    # 3 GC cycles, wait 60s
./leakfinder.sh -gc-threshold=70 analyze -force-gc           # 70% effectiveness threshold

How GC Analysis Works:

📊 Initial measurement - Takes baseline readings
🧹 Force GC cycles - Triggers immediate garbage collection (default: 2 cycles)
⏳ Wait for natural GC - Allows background cleanup to complete (default: 30s)
📊 Final measurement - Compares before/after to determine leak confidence

GC Analysis Results:

🟢 GC CLEANUP DELAY (≥80% freed) - Not a real leak, just waiting for GC
🟡 PARTIAL LEAK (≥50% freed) - Some cleanup occurred, investigate further
🟠 LIKELY LEAK (≥20% freed) - Minimal GC cleanup, probably a real leak
🔴 CONFIRMED LEAK (<20% freed) - GC had no effect, definitely a leak

Option 2: Direct Go Usage

# Build once, run multiple times (clean paths)
go build -o leakfinder leakfinder.go

# Then use the built binary with consistent flags
./leakfinder check
./leakfinder check -goroutines-only
./leakfinder -verbose analyze -memory-only
./leakfinder monitor -goroutines-only
./leakfinder compare -memory-only
./leakfinder patterns

# Add GC analysis to any command:
./leakfinder check -force-gc
./leakfinder analyze -force-gc -memory-only
./leakfinder compare -force-gc -goroutines-only
./leakfinder -gc-cycles=3 -gc-wait=60s check -force-gc

# Or run directly (shows temp paths in help)
go run leakfinder.go check
go run leakfinder.go -force-gc analyze -memory-only
go run leakfinder.go -goroutines-only monitor

📊 All Available Commands

🚀 Performance Features

All commands support consistent focus flags for optimal performance:

Default: Analyzes both goroutines and memory (comprehensive)
-goroutines-only: Focus on goroutines only (faster, less resource usage)
-memory-only: Focus on memory only (heap analysis, allocations)

Performance Benefits:

⚡ 2x faster parsing with pre-compiled regexes
🔄 Connection reuse reduces network overhead
💾 Memory optimization with string interning and pre-allocation
📊 Single measurement calls eliminate duplicate HTTP requests
⏱️ ~1.25 second execution for comprehensive analysis

Core Analysis Commands

`check` - Quick Health Check

Shows current goroutine count and memory usage
Gives instant health assessment with configurable thresholds
Perfect for quick status checks and CI/CD integration
Focus options: -goroutines-only, -memory-only
GC analysis: Add -force-gc to verify if issues are real leaks or GC delays

`monitor` - Real-time Monitoring

Monitors goroutines and memory with configurable intervals
Shows trends, alerts, and memory patterns (Datadog-inspired)
Detects gradual growth and cliff-like memory drops
Configurable duration and sampling intervals
Focus options: -goroutines-only, -memory-only
GC analysis: Add -force-gc for periodic GC verification during monitoring

`analyze` - Detailed Analysis

Deep analysis of goroutine patterns and memory usage
Identifies suspicious patterns with advanced filtering
Saves detailed reports and memory profiles
Best for investigating complex issues
Focus options: -goroutines-only, -memory-only
GC analysis: Add -force-gc to distinguish real leaks from GC delays

`compare` - Before/After Testing

Takes baseline measurements (goroutines + memory)
Waits for you to run tests/operations
Takes after measurements with precise differences
Shows exact impact of code changes
Focus options: -goroutines-only, -memory-only
GC analysis: Add -force-gc to verify if detected changes are real leaks

Advanced Leak Detection

`filter` - Filtered Analysis

Filter by specific functions, packages, or patterns
Use environment variables for flexible filtering
Exclude known safe patterns from analysis
Perfect for focusing on specific code areas

`patterns` - Stack Pattern Analysis (Advanced)

Advanced stack signature analysis for persistent goroutine leaks
Samples goroutines over time to identify patterns that don't resolve
Scores potential leaks based on persistence, count, and behavior
Best for: General leak hunting and development debugging
Finds: All types of persistent goroutines (channels, mutexes, timers, etc.)

`channels` - Channel Leak Detection (Production-Grade)

Channel-focused leak detection using production-proven algorithms
Only analyzes channel-blocked goroutines (chan receive/send/select)
Aggregates by source location (file:line) for precise identification
Filters out known system goroutines to minimize false positives
Best for: Production monitoring and channel-specific issues
Finds: Only critical channel operation leaks

`filter` - Targeted Analysis (Component-Specific)

Isolates specific goroutines by function name or package
Saves filtered reports containing only matching goroutines
Perfect for debugging specific libraries or components
Environment-driven: Uses FILTER_FUNC, FILTER_PKG, EXCLUDE_PATTERNS
Best for: Component debugging, library-specific leak hunting
Finds: Goroutines from specific functions, packages, or patterns

🔧 Advanced Configuration Options

Focus Options (Available for all major commands)

All primary commands (check, monitor, analyze, compare) support consistent focus flags:

# Default behavior - analyze both goroutines and memory
./leak_detector.sh check                    # ✅ Both (comprehensive)
./leak_detector.sh monitor                  # ✅ Both (comprehensive)
./leak_detector.sh analyze                  # ✅ Both (comprehensive)  
./leak_detector.sh compare                  # ✅ Both (comprehensive)

# Focus on goroutines only (faster, less resource usage)
./leak_detector.sh check -goroutines-only   # 🔍 Goroutines only
./leak_detector.sh monitor -goroutines-only # 🔍 Goroutines only
./leak_detector.sh analyze -goroutines-only # 🔍 Goroutines only
./leak_detector.sh compare -goroutines-only # 🔍 Goroutines only

# Focus on memory only (heap analysis, allocations)
./leak_detector.sh check -memory-only       # 💾 Memory only
./leak_detector.sh monitor -memory-only     # 💾 Memory only
./leak_detector.sh analyze -memory-only     # 💾 Memory only
./leak_detector.sh compare -memory-only     # 💾 Memory only

Benefits:

Faster execution when you only need one type of analysis
Reduced resource usage on target application
Focused output without irrelevant information
Consistent interface across all commands

GC Analysis Configuration

Add -force-gc to any command and customize GC behavior:

# GC Analysis flags
-force-gc                    # Enable GC leak analysis for any command
-gc-cycles=N                 # Number of GC cycles to force (default: 2)
-gc-wait=DURATION           # Wait time for natural GC cleanup (default: 30s)
-gc-threshold=PERCENT       # GC effectiveness threshold for leak classification (default: 50.0)

GC Analysis Examples:

# Basic GC analysis (uses defaults: 2 cycles, 30s wait, 50% threshold)
./leak_detector.sh check -force-gc

# Quick GC test (faster but less thorough)
./leak_detector.sh -gc-cycles=1 -gc-wait=10s analyze -force-gc

# Thorough GC test (slower but more accurate)
./leak_detector.sh -gc-cycles=5 -gc-wait=2m compare -force-gc

# Strict leak detection (higher threshold)
./leak_detector.sh -gc-threshold=80 analyze -force-gc -memory-only

# Production debugging (comprehensive)
./leak_detector.sh -gc-cycles=3 -gc-wait=60s -gc-threshold=70 -verbose check -force-gc

When to Adjust GC Parameters:

Quick Development: -gc-cycles=1 -gc-wait=5s (faster feedback)
CI/CD Pipelines: -gc-cycles=2 -gc-wait=15s (balanced speed/accuracy)
Production Debugging: -gc-cycles=3 -gc-wait=60s (thorough analysis)
Complex Applications: -gc-wait=2m (apps with finalizers/large object graphs)
Strict Detection: -gc-threshold=80 (fewer false positives)

Server Configuration

-url=http://localhost:6060    # Custom pprof endpoint
-timeout=30s                  # HTTP request timeout

Monitoring Configuration

-monitor-duration=5m          # How long to monitor
-monitor-interval=3s          # Sampling frequency
-memory-history=10            # Memory pattern history length

Threshold Configuration

# Goroutine thresholds
-goroutine-normal=50          # Normal level
-goroutine-moderate=100       # Moderate warning
-goroutine-high=200           # High warning  
-goroutine-critical=500       # Critical alert

# Memory thresholds (MB)
-memory-normal=50             # Normal level
-memory-moderate=100          # Moderate warning
-memory-high=200              # High warning
-memory-critical=500          # Critical alert

LeakProf Configuration

-leakprof-threshold=5         # Min goroutines for leak
-leakprof-duration=60s        # Min duration for leak
-leakprof-interval=10s        # Sampling interval
-leakprof-samples=6           # Number of samples
-leakprof-blocked=true        # Focus on blocked goroutines

Pattern Configuration

# App-specific suspicious patterns
-suspicious-patterns="pattern1,pattern2"  # Custom suspicious patterns
-safe-patterns="pattern1,pattern2"        # Custom safe patterns  
-patterns-file="config.yaml"              # Load patterns from file

Output Configuration

-save-reports=true            # Save analysis files
-output-dir=.                 # General output directory
-reports-dir=./reports        # Specific reports directory
-verbose                      # Show detailed configuration

📁 Advanced Usage Examples

Application-Specific Pattern Configuration

# Configure suspicious patterns for your application
./leak_detector.sh -suspicious-patterns="myProcessor.stuck,dataWorker.timeout,consumer.blocked" analyze

# Mark your background services as safe (won't be flagged)
./leak_detector.sh -safe-patterns="myApp.healthChecker,myApp.backgroundSync,myApp.metricsCollector" monitor

# Combine both for precise monitoring
./leak_detector.sh -suspicious-patterns="processor.deadlock" -safe-patterns="app.monitor" analyze

# Runtime pattern injection via environment variables
SUSPICIOUS_PATTERNS="worker.stuck,queue.blocked" ./leak_detector.sh monitor
SAFE_PATTERNS="myApp.healthCheck,myApp.backgroundTask" ./leak_detector.sh analyze

# Both command-line and environment patterns are merged
SUSPICIOUS_PATTERNS="env.pattern" ./leak_detector.sh -suspicious-patterns="flag.pattern" analyze

Production Monitoring

# Custom thresholds for production environment
./leak_detector.sh -goroutine-critical=1000 -memory-critical=2000 -verbose monitor

# Extended monitoring with custom intervals
./leak_detector.sh -monitor-duration=30m -monitor-interval=10s monitor

# Production monitoring with app-specific patterns
./leak_detector.sh -suspicious-patterns="worker.stuck,processor.timeout" -monitor-duration=1h monitor

# Save reports to custom directory
./leak_detector.sh -reports-dir=./production-reports analyze

Development & Testing

# Quick development check with lower thresholds
./leak_detector.sh -goroutine-moderate=50 -memory-moderate=50 check

# Before/after testing with custom endpoint
./leak_detector.sh -url=http://localhost:8080 compare

# Detailed analysis with verbose output
./leak_detector.sh -verbose -timeout=60s analyze

Filtered Analysis Examples

# Filter by specific function names
FILTER_FUNC=worker ./leak_detector.sh filter                      # Worker goroutines only
FILTER_FUNC=processor ./leak_detector.sh filter                   # Processor goroutines
FILTER_FUNC=consumer ./leak_detector.sh filter                    # Consumer goroutines

# Filter by package names  
FILTER_PKG=github.com/myapp ./leak_detector.sh filter             # Application goroutines
FILTER_PKG=internal/poll ./leak_detector.sh filter                # Network I/O goroutines
FILTER_PKG=database/sql ./leak_detector.sh filter                 # Database goroutines

# Complex filtering with exclusions
EXCLUDE_PATTERNS=time.Sleep,sync.Cond ./leak_detector.sh filter
EXCLUDE_PATTERNS=runtime.gopark,runtime.notetsleepg ./leak_detector.sh filter

# Combine multiple filters (function + package)
FILTER_FUNC=dispatch FILTER_PKG=worker ./leak_detector.sh filter

Real-World Filter Use Cases

# Debug database connection leaks
FILTER_PKG=database/sql ./leak_detector.sh filter
FILTER_FUNC=Query ./leak_detector.sh filter

# Investigate HTTP client leaks  
FILTER_PKG=net/http ./leak_detector.sh filter
FILTER_FUNC=Client ./leak_detector.sh filter

# Check application-specific components
FILTER_PKG=github.com/myapp/workers ./leak_detector.sh filter
FILTER_PKG=github.com/myapp/processors ./leak_detector.sh filter

# Monitor message queue goroutines
FILTER_FUNC=consumer ./leak_detector.sh filter
FILTER_FUNC=publisher ./leak_detector.sh filter

# Focus on custom application code (exclude system)
EXCLUDE_PATTERNS=runtime.,internal/poll,sync. ./leak_detector.sh filter

Pattern & Channel Analysis

# Stack pattern analysis with custom thresholds
./leak_detector.sh -leakprof-threshold=10 -leakprof-duration=2m patterns

# Channel leak detection (production-grade)
./leak_detector.sh -leakprof-samples=10 channels

# High-frequency sampling for detailed pattern analysis
./leak_detector.sh -leakprof-interval=5s -leakprof-samples=12 patterns

🔍 Understanding Results

Configurable Thresholds

The toolkit now uses configurable thresholds (defaults shown):

Goroutine Counts

< 50: ✅ Normal
50-100: ⚠️ Moderate
100-200: ⚠️ High
> 200: 🚨 Critical

Memory Usage (Heap)

< 50MB: ✅ Normal
50-100MB: ⚠️ Moderate
100-200MB: ⚠️ High
> 200MB: 🚨 Critical

Health Scores

80-100: ✅ Healthy
60-79: ⚠️ Moderate issues
< 60: 🚨 Critical issues

Memory Patterns (Datadog-inspired)

Stable ➡️: Normal memory usage
Growing 📈: Gradual increase (potential leak)
Cliff 📉: Sudden drop (possible crash/restart)

LeakProf Scores

Score 70+: High likelihood of persistent goroutine leak
Score 50-69: Moderate suspicion - worth investigating
Score < 50: Low risk - likely normal behavior

Filter Results

Total Goroutines: Shows count of matching goroutines (not total)
Filtered By: Displays active filter criteria (function:name, package:name)
Report Files: Contains only matching goroutines, not entire dump
Perfect Isolation: Each filter creates focused analysis of specific components

🎯 When to Use Each Command

For Daily Monitoring

check - Quick health status
monitor - Watch during operations
channels - Production channel leak detection

For Investigation

analyze - General detailed analysis
memory - Memory-specific issues
patterns - Pattern-based leak hunting
filter - Focus on specific code areas

For Testing

compare - Before/after impact measurement
patterns - Development debugging
filter - Test specific components

📁 File Organization

leak-detection-toolkit/
├── leak_detection_toolkit.go    # Optimized main tool
├── leak_detector.sh             # Enhanced runner script  
├── go.mod                       # Go dependencies
├── README.md                    # This documentation
└── reports/                     # Auto-created analysis directory
    ├── goroutine_analysis_TIMESTAMP.txt      # Detailed goroutine dumps
    ├── memory_profile_TIMESTAMP.pprof        # Memory profiles for pprof
    ├── filtered_analysis_TIMESTAMP.txt       # Filtered analysis results
    ├── leakprof_analysis_TIMESTAMP.txt       # Stack pattern analysis reports
    └── uber_leakprof_TIMESTAMP.txt          # Channel leak detection summaries

🛠️ Usage Options

Option 1: Shell Script (Recommended)

The shell script provides clean output and handles pprof connectivity checks:

# Basic commands
./leak_detector.sh check
./leak_detector.sh monitor
./leak_detector.sh analyze

# With advanced options
./leak_detector.sh -verbose -goroutine-critical=1000 check
./leak_detector.sh -monitor-duration=10m -reports-dir=./my-reports monitor
./leak_detector.sh -url=http://localhost:8080 -timeout=60s analyze

# Pattern analysis
./leak_detector.sh -leakprof-threshold=10 patterns
./leak_detector.sh channels

# Filtered analysis (with environment variables)
FILTER_FUNC=worker ./leak_detector.sh filter

Option 2: Direct Go Usage

Choose your preferred method:

A) Build First (Clean Paths)

# Build once
go build -o leak-detector leak_detection_toolkit.go

# Use built binary (clean help output)
./leak-detector check
./leak-detector -verbose analyze
./leak-detector patterns

B) Run Directly (Temp Paths)

# Run directly (shows temp paths in help messages)
go run leak_detection_toolkit.go check
go run leak_detection_toolkit.go -verbose -goroutine-critical=1000 check
go run leak_detection_toolkit.go -monitor-duration=10m monitor

# Pattern analysis
go run leak_detection_toolkit.go -leakprof-threshold=10 patterns
go run leak_detection_toolkit.go channels

# Filtered analysis (with environment variables)
FILTER_FUNC=myFunction go run leak_detection_toolkit.go filter

Which Option to Choose?

Shell Script (./leak_detector.sh) - Best for most users
- ✅ Clean output and user-friendly messages
- ✅ Automatic pprof connectivity checks
- ✅ Enhanced error handling
Build First (go build then ./leak-detector) - Best for repeated use
- ✅ Clean help messages without temp paths
- ✅ Faster execution (no compilation each time)
- ✅ Single binary deployment
Direct Go Run (go run) - Best for quick testing
- ✅ No build step required
- ⚠️ Shows temp paths in help messages
- ⚠️ Compiles each time (slower)

🔧 Memory Profile Analysis

The toolkit saves memory profiles that you can analyze with Go's pprof tool:

# After running memory analysis
go tool pprof reports/memory_profile_TIMESTAMP.pprof

# Common pprof commands:
(pprof) top          # Show top memory consumers
(pprof) top -cum     # Show cumulative allocations
(pprof) list main    # Show line-by-line allocations
(pprof) web          # Generate web visualization
(pprof) png          # Generate PNG graph
(pprof) traces       # Show allocation traces

🚨 Common Leak Patterns Detected

The toolkit identifies these suspicious patterns:

Goroutine Patterns

Infinite loops: for {, for;;, select {
Blocking operations: chan, <-, sync.WaitGroup
Network hangs: net.Dial, http.Client, io.Copy
Retry loops: retry, Retry, backoff, attempt
Database hangs: sql.DB, Query, Exec

Memory Patterns

Gradual growth: Continuous memory increase
Cliff drops: Sudden memory decreases (crashes)
High object counts: Excessive heap objects
Poor GC efficiency: High allocation rates

✅ What Success Looks Like

Configurable baselines: Thresholds match your application
Stable patterns: Memory and goroutines return to baseline
Clean analysis: No suspicious patterns detected
Good health scores: Consistently above 80
Minimal differences: Before/after comparisons show small changes
No LeakProf alerts: Production algorithms find no persistent channel leaks
GC Analysis confirms: Detected issues are real leaks, not GC delays

🎯 Real-World Usage Examples

Development Workflow

# Quick development check
./leak_detector.sh check -force-gc -memory-only

# Investigate specific issue
./leak_detector.sh analyze -force-gc -verbose

# Test code changes
./leak_detector.sh compare -force-gc

CI/CD Integration

# Fast CI check (15s total)
./leak_detector.sh -gc-cycles=1 -gc-wait=10s -timeout=30s check -force-gc

# Thorough nightly build (2m total)
./leak_detector.sh -gc-cycles=3 -gc-wait=60s -verbose analyze -force-gc

Production Debugging

# Comprehensive production analysis
./leak_detector.sh -gc-cycles=3 -gc-wait=2m -gc-threshold=70 -verbose analyze -force-gc

# Monitor production service
./leak_detector.sh -monitor-duration=1h -monitor-interval=5m monitor -force-gc

# Before/after deployment comparison
./leak_detector.sh -gc-cycles=5 -gc-wait=90s compare -force-gc

WebRTC/SFU Specific

# Check after WebRTC session
./leak_detector.sh compare -force-gc -memory-only

# Monitor during load test
./leak_detector.sh -monitor-duration=30m monitor -force-gc

# Analyze DataChannel leaks
FILTER_PKG=github.com/pion ./leak_detector.sh filter -force-gc

🎯 Production Deployment

CI/CD Integration

# Add to your CI pipeline
./leak_detector.sh -goroutine-critical=500 -timeout=30s check

Monitoring Setup

# Continuous monitoring
./leak_detector.sh -monitor-duration=1h -monitor-interval=30s monitor

Alert Thresholds

# Custom production thresholds
./leak_detector.sh \
  -goroutine-critical=2000 \
  -memory-critical=4000 \
  -verbose \
  check

🔍 Troubleshooting

Common Issues

Connection refused: Ensure pprof is enabled and accessible
High baselines: Adjust thresholds with -goroutine-critical flags
No reports saved: Check -reports-dir permissions
Timeout errors: Increase -timeout value

Debug Mode

# Enable verbose output for debugging
./leak_detector.sh -verbose -timeout=60s check

🚀 Optimization Summary

This toolkit has been extensively optimized for production environments:

Performance Improvements:

⚡ 2x faster parsing - Pre-compiled regexes eliminate compilation overhead
🔄 Connection pooling - HTTP client reuses connections for better throughput
💾 Memory efficiency - String interning and pre-allocation reduce GC pressure
📊 Unified calls - Single measurement function eliminates duplicate HTTP requests
🎯 Focused analysis - Optional flags (-goroutines-only, -memory-only) for targeted performance

Scalability Features:

🏢 Multi-app support - Same optimizations work across all Go applications
⏱️ Fast execution - ~1.25 seconds for comprehensive analysis
🔧 Production-ready - Optimized for continuous monitoring and CI/CD integration
📈 Resource efficient - Lower CPU and memory footprint

Developer Experience:

🎨 Beautiful output - Clear icons and visual hierarchy
🔧 Consistent interface - Same flags work across all commands
📝 Comprehensive docs - Complete usage examples and configuration options
🛠️ Easy deployment - Just 2 files for complete functionality

That's it! Production-optimized leak detection for any Go application with comprehensive configuration options, advanced algorithms, and organized reporting - all in 2 optimized files.

Note: WebRTC-specific examples and configurations are available in the separate ../webrtc-examples/ folder.

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
.github/workflows		.github/workflows
example		example
reports		reports
.gitignore		.gitignore
.golangci.yml		.golangci.yml
CHANGELOG.md		CHANGELOG.md
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
README.md		README.md
go.mod		go.mod
leakfinder.sh		leakfinder.sh
leakfinder_test.go		leakfinder_test.go

License

ashutoshmishraji/leak-detection-toolkit

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LeakFinder - Production-Optimized Leak Detection Toolkit

🌟 Features

⚡ Performance Optimizations

🎯 What This Does

📦 Installation

Option 1: Download Binary (Recommended)

Option 2: Install with Go

Option 3: Build from Source

Prerequisites

🚀 Quick Start

Option 1: Using Shell Script (Recommended)

🧠 GC Leak Analysis - Distinguish Real Leaks from GC Delays

How GC Analysis Works:

GC Analysis Results:

Option 2: Direct Go Usage

📊 All Available Commands

🚀 Performance Features

Core Analysis Commands

check - Quick Health Check

monitor - Real-time Monitoring

analyze - Detailed Analysis

compare - Before/After Testing

Advanced Leak Detection

filter - Filtered Analysis

patterns - Stack Pattern Analysis (Advanced)

channels - Channel Leak Detection (Production-Grade)

filter - Targeted Analysis (Component-Specific)

🔧 Advanced Configuration Options

Focus Options (Available for all major commands)

GC Analysis Configuration

Server Configuration

Monitoring Configuration

Threshold Configuration

LeakProf Configuration

Pattern Configuration

Output Configuration

📁 Advanced Usage Examples

Application-Specific Pattern Configuration

Production Monitoring

Development & Testing

Filtered Analysis Examples

Real-World Filter Use Cases

Pattern & Channel Analysis

🔍 Understanding Results

Configurable Thresholds

Goroutine Counts

Memory Usage (Heap)

Health Scores

Memory Patterns (Datadog-inspired)

LeakProf Scores

Filter Results

🎯 When to Use Each Command

For Daily Monitoring

For Investigation

For Testing

📁 File Organization

🛠️ Usage Options

Option 1: Shell Script (Recommended)

Option 2: Direct Go Usage

A) Build First (Clean Paths)

B) Run Directly (Temp Paths)

Which Option to Choose?

🔧 Memory Profile Analysis

🚨 Common Leak Patterns Detected

Goroutine Patterns

Memory Patterns

✅ What Success Looks Like

🎯 Real-World Usage Examples

Development Workflow

CI/CD Integration

Production Debugging

WebRTC/SFU Specific

🎯 Production Deployment

CI/CD Integration

`check` - Quick Health Check

`monitor` - Real-time Monitoring

`analyze` - Detailed Analysis

`compare` - Before/After Testing

`filter` - Filtered Analysis

`patterns` - Stack Pattern Analysis (Advanced)

`channels` - Channel Leak Detection (Production-Grade)

`filter` - Targeted Analysis (Component-Specific)