Back to Documentation

Maintenance & Learning

Keep CrashLens updated, maintain your workflows, and enhance your skills with comprehensive learning resources

🔄 MAINTENANCE AND UPDATES

Keeping CrashLens Updated

Regular Update Commands

Keep CrashLens current to access the latest features, bug fixes, and security updates.

BASH
# Update CrashLens with pip pip install --upgrade crashlens # Update with poetry (recommended) poetry update crashlens # Check current version crashlens --version # List available versions pip index versions crashlens # Update to specific version pip install crashlens==2.6.0 # Update all dependencies pip install --upgrade crashlens[all] # Force reinstall if issues occur pip install --force-reinstall crashlens

Version Pinning & Dependency Management

Maintain stable environments by pinning versions and managing dependencies properly.

Requirements.txt Approach
BASH
# requirements.txt crashlens==2.5.1 pydantic>=2.0.0,<3.0.0 click>=8.0.0 pyyaml>=6.0 requests>=2.28.0 # Install pinned versions pip install -r requirements.txt # Generate current environment pip freeze > requirements-lock.txt
Poetry Configuration
TOML
# pyproject.toml [tool.poetry.dependencies] python = "^3.8" crashlens = "^2.5.1" pydantic = "^2.0.0" [tool.poetry.group.dev.dependencies] pytest = "^7.0.0" black = "^23.0.0" # Update lock file poetry lock # Install from lock file poetry install # Update specific package poetry update crashlens
Docker Environment
DOCKER
# Dockerfile FROM python:3.12-slim # Pin specific version RUN pip install crashlens==2.5.1 # Multi-stage build for smaller images FROM python:3.12-slim as builder COPY requirements.txt . RUN pip install --user -r requirements.txt FROM python:3.12-slim COPY --from=builder /root/.local /root/.local ENV PATH=/root/.local/bin:$PATH # Docker Compose version pinning version: '3.8' services: crashlens: image: crashlens/crashlens:2.5.1 # Pin specific version environment: - CRASHLENS_VERSION=2.5.1

Update Testing & Validation

Always test updates in non-production environments before deploying to production.

BASH
# Test environment update workflow # 1. Update in isolated environment python -m venv test-env source test-env/bin/activate pip install crashlens==2.6.0 # 2. Validate basic functionality crashlens --version crashlens doctor # Run diagnostics # 3. Test with sample data crashlens simulate --output test.jsonl --count 10 crashlens analyze test.jsonl # 4. Test policy compliance crashlens policy-check --config crashlens.yml test.jsonl # 5. Performance regression testing crashlens benchmark --dataset-size 1000 # 6. If all tests pass, update production # pip install crashlens==2.6.0

Workflow Maintenance & Reviews

Regular Workflow Health Checks

Periodic reviews ensure your CrashLens workflows remain effective and up-to-date.

📅 Weekly Reviews
  • Check policy violation trends and patterns
  • Review cost optimization recommendations
  • Validate alert effectiveness and response times
  • Update threshold values based on usage patterns
BASH
# Weekly health check script crashlens analyze --period last-7-days --format summary crashlens report --template weekly-review --output weekly-$(date +%Y-%m-%d).html
📊 Monthly Reviews
  • Comprehensive cost analysis and trend evaluation
  • Policy effectiveness assessment and optimization
  • Team usage patterns and training needs assessment
  • ROI calculation and budget planning
BASH
# Monthly comprehensive review crashlens analyze --period last-30-days --include-trends --include-forecasting crashlens optimize --focus all --implementation-effort low
🔄 Quarterly Reviews
  • Strategic policy framework evaluation
  • Technology stack and integration assessment
  • Compliance and audit requirements review
  • Long-term cost projections and budget allocation
BASH
# Quarterly strategic review crashlens report --template executive --period last-90-days --include-recommendations crashlens ml optimize-policies --historical-data logs/last-90-days/

Policy Configuration Maintenance

BASH
# Policy validation and testing crashlens validate --config crashlens.yml --verbose crashlens policy-check --dry-run --explain logs/sample.jsonl # Policy optimization recommendations crashlens analyze --policy-effectiveness --period last-30-days crashlens recommend --focus policy-tuning --confidence-threshold 0.8 # A/B testing for policy changes crashlens ml ab-test \ --policy-a current-policies.yml \ --policy-b proposed-policies.yml \ --test-data logs/validation-set.jsonl # Backup and version control git add crashlens.yml git commit -m "Update: Refined cost thresholds based on Q3 analysis" git tag policy-v2.1.0

CI/CD Pipeline Maintenance

YAML
# GitHub Actions workflow maintenance # .github/workflows/crashlens-maintenance.yml name: CrashLens Maintenance on: schedule: - cron: '0 2 * * 1' # Weekly on Monday at 2 AM jobs: maintenance: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - name: Update CrashLens run: | pip install --upgrade crashlens crashlens --version - name: Validate configurations run: | crashlens validate --config .github/crashlens.yml crashlens doctor --check all - name: Generate maintenance report run: | crashlens report \ --template maintenance \ --period last-7-days \ --output maintenance-report.html - name: Check for policy updates run: | crashlens ml optimize-policies \ --current-policies .github/crashlens.yml \ --suggest-improvements \ --output policy-suggestions.yml - name: Create maintenance issue if needed uses: actions/github-script@v6 if: failure() with: script: | github.rest.issues.create({ owner: context.repo.owner, repo: context.repo.repo, title: 'CrashLens Maintenance Required', body: 'Automated maintenance check failed. Please review.' })

Backup & Recovery Procedures

Configuration Backup

BASH
# Automated backup script #!/bin/bash BACKUP_DIR="crashlens-backups/$(date +%Y-%m-%d)" mkdir -p "$BACKUP_DIR" # Backup configurations cp crashlens.yml "$BACKUP_DIR/" cp -r .github/workflows/ "$BACKUP_DIR/workflows/" # Backup custom policies cp -r policies/ "$BACKUP_DIR/policies/" 2>/dev/null || true # Backup environment settings env | grep CRASHLENS > "$BACKUP_DIR/environment.env" # Create archive tar -czf "crashlens-backup-$(date +%Y-%m-%d).tar.gz" "$BACKUP_DIR" # Upload to cloud storage (optional) aws s3 cp "crashlens-backup-$(date +%Y-%m-%d).tar.gz" s3://your-backup-bucket/crashlens/

Data Backup & State Management

BASH
# Backup historical analysis data crashlens export \ --format archive \ --include-analysis-cache \ --include-ml-models \ --output crashlens-data-backup.tar.gz \ logs/ # Backup incremental state cp .crashlens-state.json backups/state-$(date +%Y-%m-%d).json # Recovery procedures # 1. Restore configurations tar -xzf crashlens-backup-2025-08-24.tar.gz cp crashlens-backups/2025-08-24/crashlens.yml . # 2. Restore analysis state cp backups/state-2025-08-24.json .crashlens-state.json # 3. Validate restoration crashlens doctor --check all crashlens validate --config crashlens.yml

🎓 LEARNING RESOURCES

Documentation & Comprehensive Guides

📚 Core Documentation

🔬 Advanced Topics

Quick Reference Commands

BASH
# Access built-in help crashlens --help # Global help crashlens analyze --help # Command-specific help crashlens policy-check --help # Policy help # Generate documentation locally crashlens docs generate --output ./local-docs/ crashlens docs serve --port 8080 # Serve docs locally # Export configuration templates crashlens init --template comprehensive --dry-run > sample-config.yml crashlens examples --list # List available examples crashlens examples --export all # Export all examples

Interactive Training & Tutorials

🎯 Beginner Track (2-3 hours)

Module 1: Installation & Setup (30 min)

Module 2: Basic Analysis & Policy Checks (45 min)

Module 3: Understanding Reports & Alerts (30 min)

Module 4: CI/CD Integration Basics (45 min)

BASH
# Beginner hands-on exercise crashlens tutorial start --level beginner crashlens simulate --scenario tutorial --output tutorial-logs.jsonl crashlens analyze tutorial-logs.jsonl --guided

🔧 Intermediate Track (4-5 hours)

Module 1: Advanced Policy Configuration (60 min)

Module 2: Custom Dashboards & Reporting (60 min)

Module 3: Performance Optimization (45 min)

Module 4: Enterprise Integration Patterns (75 min)

BASH
# Intermediate hands-on exercise crashlens tutorial start --level intermediate crashlens workshop --topic "advanced-policies" --interactive

🚀 Advanced Track (6-8 hours)

Module 1: Machine Learning Integration (90 min)

Module 2: API Development & Custom Integrations (90 min)

Module 3: Large-Scale Deployment Architecture (60 min)

Module 4: Contributing to CrashLens Development (90 min)

BASH
# Advanced hands-on exercise crashlens tutorial start --level advanced crashlens dev-setup --contributor-mode crashlens ml workshop --hands-on

Video Learning & Webinars

🎥 Video Tutorial Series

📡 Live Webinars & Events

Interactive Learning Commands

BASH
# Interactive learning mode crashlens learn --interactive # Start interactive tutorial crashlens learn --topic policy-writing # Specific topic tutorial crashlens learn --scenario enterprise # Enterprise use case scenarios # Practice environments crashlens sandbox create --name practice-env crashlens sandbox load --scenario "cost-spike-investigation" crashlens sandbox simulate --realistic-data --time-range 30d # Self-assessment tools crashlens quiz --level beginner # Knowledge check crashlens skills-assessment # Comprehensive skills evaluation crashlens certification-prep # Prepare for certification

Community Learning & Collaboration

🌐 Community Platforms

Discord Community

Real-time chat, Q&A, and peer support

GitHub Discussions

Feature requests, bug reports, and technical discussions

Reddit Community

Use cases, tips, and community showcase

📖 Knowledge Sharing

BASH
# Share your configurations (anonymized) crashlens share config --anonymize --description "Enterprise multi-team setup" # Export case studies crashlens case-study export --scenario "cost-reduction" --anonymize # Contribute to examples repository crashlens contribute example --type integration --platform kubernetes # Submit best practices crashlens contribute best-practice --category policy-optimization

🏆 Certification & Recognition

  • CrashLens Certified User: Basic competency in setup, analysis, and policy configuration
  • CrashLens Certified Professional: Advanced skills in enterprise deployment and optimization
  • CrashLens Certified Expert: Expertise in ML integration, custom development, and architecture
BASH
# Certification commands crashlens certification register --level user crashlens certification practice-exam --level professional crashlens certification submit --level expert --portfolio-url your-portfolio

Best Practices Repository & Case Studies

Industry-Specific Use Cases

🏦 Financial Services
  • Regulatory compliance automation
  • Risk-based cost controls
  • Audit trail requirements
  • Multi-tenant cost allocation
🏥 Healthcare
  • HIPAA-compliant cost monitoring
  • Patient data privacy protection
  • Clinical workflow integration
  • Cost per patient analysis
🛒 E-commerce
  • Seasonal demand forecasting
  • Customer segment cost tracking
  • Real-time pricing optimization
  • Marketing campaign ROI
🎮 Gaming
  • Player behavior analysis costs
  • Dynamic content generation
  • Multiplayer session optimization
  • In-game AI cost management

Access Learning Resources

BASH
# Browse available case studies crashlens resources list --type case-study crashlens resources list --industry healthcare crashlens resources list --use-case cost-optimization # Download specific resources crashlens resources download --id "financial-services-compliance-2024" crashlens resources download --tag "enterprise-deployment" # Search for specific topics crashlens resources search "kubernetes integration" crashlens resources search "machine learning" --format tutorial # Get industry recommendations crashlens recommend --industry fintech --use-case trading-algorithms crashlens recommend --company-size enterprise --team-size 50+

Continuous Learning & Skill Development

🎯 Personalized Learning Paths

CrashLens adapts to your learning progress and recommends relevant content based on your usage patterns and role.

BASH
# Set up personalized learning crashlens profile create --role "DevOps Engineer" --experience intermediate crashlens learning-path recommend --focus "enterprise-deployment" crashlens learning-path track --goal "certification-professional" # Track learning progress crashlens progress show --learning-path "enterprise-deployment" crashlens achievements list --category learning crashlens next-steps --based-on-progress

📊 Skills Assessment & Gap Analysis

Regular skills assessments help identify knowledge gaps and recommend targeted learning resources.

BASH
# Comprehensive skills assessment crashlens assess skills --comprehensive crashlens assess knowledge --topic policy-configuration crashlens assess practical --scenario troubleshooting # Get personalized recommendations crashlens recommend learning --based-on-assessment crashlens recommend resources --skill-gap machine-learning crashlens recommend mentor --expertise enterprise-architecture

🔄 Stay Updated with Latest Features

Keep up with CrashLens evolution through automated update notifications and feature learning modules.

BASH
# Feature update learning crashlens whats-new --since last-update crashlens feature-spotlight --latest crashlens changelog --interactive --since 2.5.0 # Subscribe to learning updates crashlens subscribe --type feature-updates --frequency weekly crashlens subscribe --type best-practices --category enterprise crashlens notifications setup --learning-reminders weekly
Back to Documentation
Last updated: August 24, 2025