Wave Autoscale Core

Description

Wave Autoscale Core is the primary engine powering automated Kubernetes Day 2 operations, delivering 2x faster scaling and up to 40% cost savings through ML-driven optimization and real-time resource management.

Key Features:
- Autopilot ML-based real-time autoscaling with workload-specific models
- Smart Sizing for dynamic Pod CPU and memory optimization
- Wave Flow adaptive traffic shaping via Proxy-WASM for Istio, Kong, and Ambient Mesh
- Comprehensive Insights Dashboard with reliability, performance, and cost analytics
- Real-time Kubernetes resource monitoring and metrics collection
- Alert management with multi-channel notifications (Slack, Email, Webhook)
- RESTful API server for frontend and external integrations
- DuckDB-based analytics for time-series data and historical analysis

Core Capabilities:
- Event-driven architecture with EventQueue message bus
- License validation with AWS Marketplace integration
- Kubernetes API integration for Deployments, StatefulSets, and DaemonSets
- Autopilot scheduler with cron-based configuration and business event presets
- Min/Max replica recommendations and resource rightsizing
- Priority-based load shedding and critical service protection
- Cluster resource forecasting and capacity planning

Technology Stack: Rust, Tokio async runtime, DuckDB, Kubernetes API, Custom HTTP framework

The Core service runs on port 3024 and orchestrates all Wave Autoscale operations, integrating with Wave Intelligence (ML engine) and providing APIs for the Web Console.