Implement Horizontal Pod Autoscaler Support

[valdo404]

Horizontal Pod Autoscaler Support

Description

Implement support for Kubernetes Horizontal Pod Autoscaler (HPA) to automatically scale Franzoxide workers based on resource utilization and custom metrics. This will enable efficient resource utilization and cost optimization in Kubernetes environments.

Tasks

• Design metrics exposure for HPA integration
• Implement custom metrics for connector-specific scaling decisions
• Add Prometheus metrics endpoint for resource utilization
• Implement graceful scaling mechanisms for workers
• Design state transfer during scaling events
• Add configuration options for scaling policies
• Implement proper partition rebalancing during scale events
• Create Kubernetes manifests and Helm charts for HPA configuration

Technical Details

• Expose metrics through Prometheus format
• Implement custom metrics API for Kubernetes
• Ensure minimal overhead for metrics collection
• Add comprehensive tests for scaling scenarios
• Ensure proper state management during scaling events

Acceptance Criteria

• HPA correctly scales Franzoxide workers based on metrics
• Scaling events are handled gracefully without data loss
• Performance impact of metrics collection is minimal
• All tests pass including rapid scaling scenarios
• Documentation and example configurations are complete

Priority

Medium

Complexity

Medium

Release Target

v0.4.0