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Pull Request Overview
This pull request introduces speed emulation functionality and comprehensive support for Kubernetes Cluster Autoscaler as an alternative to Karpenter. The changes enable accelerated trace replay through a configurable speed-up factor and expand the platform to support multiple cluster autoscaling solutions.
- Added speed-up factor parameter to accelerate emulation timeline
- Implemented full Kubernetes Cluster Autoscaler integration with new tracer and configuration support
- Enhanced command-line interface with comprehensive argument parsing and validation
Reviewed Changes
Copilot reviewed 22 out of 22 changed files in this pull request and generated 4 comments.
Show a summary per file
| File | Description |
|---|---|
| src/workload/manager.py | Added speed-up factor support and excluded local-path-storage namespace |
| src/util/k8s_objects/deployments_generator.py | Enhanced with cluster autoscaler support and pod allocation rules |
| src/util/k8s_object_generator.py | Updated to pass allocation rules to deployment generation |
| src/tracer/tracer_cluster_autoscaler.py | New comprehensive tracer implementation for cluster autoscaler scenarios |
| src/manager.py | Added speed-up factor and pods mapping skip functionality |
| src/main.py | Replaced legacy argument parsing with modern argparse implementation |
| src/infrastructure/manager.py | Added speed-up factor support to infrastructure timing |
| src/collector.py | Enhanced metrics collection with emulation naming and precise time bounds |
| kwok-karpenter-install/setup.sh | Added cluster autoscaler installation and configuration |
| Various config/data files | Added cluster autoscaler templates and allocation rule configurations |
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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