Commit 1f211ad
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feat: Production hardening - infrastructure, CI/CD, observability, and comprehensive testing
This commit transforms the dashboard from a well-structured demo into a production-ready platform
with proper infrastructure, automated compliance, real data ingestion, and full observability.
## Infrastructure & Deployment
- Add multi-stage Dockerfile with non-root user and security best practices
- Add docker-compose.yml with full stack: PostgreSQL, MinIO, OTel, Prometheus, Grafana
- Add .dockerignore for optimized builds
- Add .env.example with comprehensive configuration documentation
- Add scripts/init-db.sql for PostgreSQL initialization
## Configuration & Settings
- Add src/config/settings.py with Pydantic-based type-safe configuration
- Add environment-based configuration with validation
- Add typed settings for data paths, database, storage, observability, features
## Data Ingestion Layer
- Add src/ingestion/fetcher.py with async cloud pricing API fetchers
- Implement real Azure pricing API integration
- Implement AWS/GCP synthetic pricing (based on public pricing)
- Add src/ingestion/cache.py with TTL-based Parquet caching
- Add scripts/fetch_data.py for cron-able data ingestion
- Add scripts/cron_example.md with setup instructions
## Business Logic Services
- Add src/services/cost_model.py with isolated TCO calculation logic
- Support for multiple pricing models (on-demand, reserved, spot)
- Edge case handling and comprehensive calculations
- Pure business logic with no external dependencies
- Add src/services/compliance_service.py with automated compliance checks
- SOC2, HIPAA, ISO27001, GDPR compliance validation
- Automated remediation plan generation
- Compliance scoring (0-100%)
## Observability & Monitoring
- Add src/utils/telemetry.py with OpenTelemetry instrumentation
- Add otel-collector.yaml for traces/metrics export
- Add prometheus.yml for metrics storage configuration
- Add grafana/provisioning/ with datasources and dashboards
- Add starter dashboard for data ingestion metrics
## CI/CD Pipeline
- Enhance .github/workflows/ci.yml with comprehensive pipeline:
- Linting (ruff) and formatting (black) checks
- Type checking (mypy)
- Test suite with 85% coverage requirement
- Security scanning (pip-audit for dependencies)
- Docker build and Trivy vulnerability scanning
- SBOM generation (CycloneDX)
- Parallel job execution for speed
## Development Tooling
- Add pyproject.toml with ruff, black, mypy, pytest configuration
- Add requirements-dev.txt with development dependencies
- Add .pre-commit-config.yaml with hooks:
- ruff (linting)
- black (formatting)
- detect-secrets (secret scanning)
- trailing-whitespace, end-of-file-fixer
- Update requirements.txt with production dependencies:
- pydantic-settings, httpx, opentelemetry, pyarrow, psycopg2
## Test Suite (85%+ Coverage)
- Add tests/test_cost_model.py with comprehensive TCO calculator tests
- Pricing model comparisons
- Storage, data transfer, support cost calculations
- ROI calculation edge cases
- Add tests/test_compliance_service.py with compliance checker tests
- Encryption, MFA, audit logging checks
- Compliance score calculation
- Remediation plan prioritization
- Add tests/test_ingestion_cache.py with cache manager tests
- TTL expiration, size limits
- Cache hit/miss tracking
- Metadata management
## Documentation
- Add SECURITY.md with vulnerability reporting and security practices
- Add docs/compliance_map.md with SOC2/HIPAA/ISO27001 control mapping
- Add docs/runbook.md with operational procedures and troubleshooting
- Add docs/slo.md with service level objectives and error budgets
## README Updates (Honest Claims & Proof Points)
- Add CI/CD badges (build, security, license, Python version)
- Add Live Demo section with Docker Compose instructions
- Add comprehensive "Implemented Features" section with checkmarks
- Add "Beta Limitations" section documenting:
- Data sources (Azure API real, AWS/GCP synthetic)
- Update frequency (daily, not real-time)
- Authentication limitations (local-only)
- AI features (rule-based, not ML)
- Add Data Sources table with update frequencies and coverage
- Add updated Technology Stack section with infrastructure details
- Add updated Architecture section reflecting new structure
- Add Production Deployment section linking to runbook
- Add Security & Compliance section with current capabilities and limitations
- Add Roadmap with realistic timeline (v0.3-v1.0)
- Remove overpromising claims ("Featured in Cloud Computing Monthly", etc.)
- Replace vague claims with concrete proof points
## Breaking Changes
None - all changes are additive
## Migration Guide
Existing deployments can continue using `streamlit run src/app.py`.
For new production infrastructure: `docker compose up`
Closes production-hardening roadmap.1 parent 5b73d51 commit 1f211ad
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34 files changed
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lines changed- .github/workflows
- docs
- grafana/provisioning
- dashboards
- datasources
- scripts
- src
- config
- ingestion
- services
- utils
- tests
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