v2.0.0 — Production-ready MLOps pipeline

• Kubernetes manifests (k8s/)
• Realistic data generation (producer.py with lognormal distribution)
• Auto-retraining with 20s interval and 30s startup delay
• In-memory cache with TTL (configurable)
• Prometheus metrics: predictions_total, cache_hits_total
• Grafana provisioning (dashboard auto-loads from repo)
• Persistent Grafana volume (dashboards survive restarts)
• Health check endpoint (/health)
• Load testing scripts (test_all.ps1 / test_all.sh)
• Updated README with Kubernetes and monitoring sections"