Detailed Usage Guide

Master advanced Gonzo workflows, real-world scenarios, and power-user techniques. This comprehensive guide covers everything from complex multi-source analysis to performance optimization and troubleshooting strategies.

circle-check

Advanced Analysis Workflows

Multi-Service Investigation

Analyze logs from multiple services to understand system-wide issues:

Scenario: API gateway timeouts affecting user experience

# 1. Start with all related services
gonzo -f api-gateway.log -f user-service.log -f auth-service.log --follow

# 2. Filter for error timeframe
/2024-01-15.*1[0-2]:[0-5][0-9]  # Focus on specific time window

# 3. Look for correlation patterns
# Tab to Word Frequency - look for "timeout", "503", "error"

# 4. Progressive filtering
/timeout.*[0-9]+     # Find timeout events
/trace_id.*abc123    # Follow specific request trace

# 5. Cross-service correlation
# Use Attributes panel to click trace_id values
# Follow the request path across services

Key Techniques:

  • Start broad with all services, narrow by time and error type

  • Use trace IDs or correlation IDs to follow requests

  • Compare Word Frequency across different time periods

  • Leverage Attributes panel for structured data correlation

Performance Analysis Workflows

Response Time Investigation

Resource Utilization Analysis

Security Monitoring Workflows

Authentication Analysis

Access Control Investigation

Advanced Configuration Strategies

Environment-Specific Configurations

Development Environment Setup

Production Monitoring Setup

CI/CD Integration Setup

Performance Optimization Strategies

High-Volume Log Handling

Memory-Constrained Environments

Real-World Scenarios

Incident Response Workflows

Production Outage Investigation

Performance Degradation Investigation

Development Workflows

Debugging Application Issues

Integration Testing Analysis

Advanced Integration Patterns

Container Orchestration

Kubernetes Advanced Monitoring

Docker Swarm Integration

Cloud Platform Integration

AWS CloudWatch Integration Pattern

Azure Monitor Integration

Google Cloud Logging

Power User Techniques

Multi-Terminal Analysis

Distributed Investigation Setup

Comparative Analysis

Automation and Scripting

Automated Monitoring Scripts

Performance Analysis Automation

AI-Enhanced Analysis Workflows

Intelligent Problem Detection

Automated Incident Analysis

Troubleshooting Advanced Scenarios

Performance Issues

High CPU Usage

Memory Issues

Complex Log Format Issues

Mixed Format Handling

Custom Timestamp Formats

Integration Troubleshooting

OTLP Connection Issues

Container Integration Issues

Best Practices Summary

🎯 Investigation Methodology

  1. Start broad, narrow progressively - Begin with all relevant logs, filter by time, then by issue type

  2. Use structured data - Leverage Attributes panel for correlation

  3. Combine multiple panels - Word Frequency for discovery, Counts for patterns, Log Viewer for details

  4. Document timeline - Use Home/End navigation to build incident timelines

Performance Optimization

  1. Right-size buffers - Balance memory usage with analysis depth

  2. Filter early - Pre-filter at source when possible

  3. Use appropriate update intervals - Slower for high-volume, faster for real-time

  4. Reset periodically - Use 'r' to clear memory in long sessions

🔧 Configuration Management

  1. Environment-specific configs - Different settings for dev vs prod

  2. Save common patterns - Document frequently used regex filters

  3. Automate repetitive tasks - Create scripts for common analysis workflows

  4. Version control configs - Track configuration changes

🤖 AI Integration

  1. Use AI for complex patterns - Let AI identify anomalies you might miss

  2. Ask specific questions - Guide AI analysis with targeted queries

  3. Validate AI insights - Cross-check AI conclusions with data

  4. Document AI findings - Save useful AI analysis for future reference


You are now a Gonzo power user! 🚀 These advanced techniques will help you conduct sophisticated log analysis, handle complex scenarios, and integrate Gonzo into any workflow. The combination of systematic methodology, performance optimization, and AI assistance makes you capable of tackling any log analysis challenge.

Last updated