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Add performance testing documentation and repository reference (#1941)
- Add comprehensive performance testing guide in docs/performance_testing.md - Link to velero-performance-testing GitHub repository for toolkit access - Include OADP-specific testing guidance for Data Mover and CSI snapshots - Add performance testing section to main README table of contents - Provide resource requirements and performance expectations - Integrate with existing OADP documentation structure 🤖 Generated with [Claude Code](https://claude.ai/code) Co-authored-by: Claude <[email protected]>
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README.md

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2. [Stateful App Backup/Restore](docs/examples/stateful.md)
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3. [CSI Backup/Restore](docs/examples/CSI)
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4. [Data Mover (OADP 1.2 or below)](/docs/examples/data_mover.md)
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7. [Troubleshooting](/docs/TROUBLESHOOTING.md)
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8. Contribute
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7. [Performance Testing](docs/performance_testing.md)
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8. [Troubleshooting](/docs/TROUBLESHOOTING.md)
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9. Contribute
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1. [Install & Build from Source](docs/developer/install_from_source.md)
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2. [OLM Integration](docs/developer/olm_hacking.md)
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3. [Test Operator Changes](docs/developer/local_dev.md)
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4. [E2E Test Suite](docs/developer/TESTING.md)
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9. [Velero Version Relationship](#version)
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10. [Velero Version Relationship](#version)
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docs/performance_testing.md

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# OADP Performance Testing
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This document provides guidance on performance testing OADP (OpenShift API for Data Protection) with Velero using comprehensive testing tools and methodologies.
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## Overview
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OADP performance testing is critical for understanding backup and restore behavior at scale. The OADP team has developed a comprehensive performance testing toolkit that uses industry-standard tools to simulate realistic workloads and measure Velero's performance characteristics.
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## Performance Testing Toolkit
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The OADP team maintains a dedicated performance testing repository that provides:
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- **Automated test scripts** for creating large-scale Kubernetes objects (30k-300k)
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- **Velero backup/restore performance testing** with detailed analysis
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- **Industry-standard tooling** using [kube-burner](https://github.com/kube-burner/kube-burner) for efficient object creation
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- **Comprehensive documentation** and usage guides
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- **Performance analysis scripts** for identifying bottlenecks
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### Repository Access
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**GitHub Repository**: [https://github.com/shubham-pampattiwar/velero-performance-testing](https://github.com/shubham-pampattiwar/velero-performance-testing)
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The repository contains everything needed for comprehensive OADP performance testing, including:
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- Pre-configured test scenarios (30k and 300k objects)
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- Velero installation and setup scripts
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- Performance analysis tools
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- Detailed documentation
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## Quick Start Guide
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### Prerequisites
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- OpenShift/Kubernetes cluster with sufficient resources
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- [kube-burner](https://github.com/kube-burner/kube-burner) installed
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- Cluster-admin privileges
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- OADP operator installed and configured
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### Basic Performance Test Workflow
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1. **Clone the performance testing repository**:
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```bash
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git clone https://github.com/shubham-pampattiwar/velero-performance-testing.git
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cd velero-performance-testing
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```
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2. **Run a simple test** (30k objects):
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```bash
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./scripts/run-simple-test.sh
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```
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3. **Test OADP backup performance**:
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```bash
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./velero/backup-performance-test.sh
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```
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4. **Analyze results**:
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```bash
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./velero/analyze-performance.sh <backup-name>
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```
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5. **Clean up**:
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```bash
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./scripts/cleanup-simple.sh
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```
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### Large-Scale Testing
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For enterprise-scale testing with 300k objects:
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```bash
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# Create large-scale test objects
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./scripts/run-large-scale-test.sh
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# Test backup performance
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./velero/backup-performance-test.sh
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# Analyze and cleanup
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./velero/analyze-performance.sh <backup-name>
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./scripts/cleanup-large-scale.sh
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```
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### Performance Analysis
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Use the toolkit's analysis scripts to identify bottlenecks:
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```bash
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# Detailed performance analysis
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./velero/analyze-performance.sh <backup-name>
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# Check resource utilization
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kubectl top nodes
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kubectl top pods -n openshift-adp-operator
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```
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## Best Practices
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### Testing Guidelines
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1. **Start small**: Begin with 30k object tests before attempting large-scale tests
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2. **Monitor resources**: Keep an eye on cluster resource utilization
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3. **Test incrementally**: Gradually increase object counts to find limits
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4. **Document results**: Track performance metrics across different configurations
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### Production Considerations
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1. **Test in staging**: Never run large-scale performance tests in production
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2. **Resource planning**: Ensure sufficient cluster resources before testing
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3. **Backup windows**: Plan backup windows based on performance test results
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4. **Monitoring**: Implement monitoring based on performance testing insights
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## Support and Contributing
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For questions about performance testing:
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1. Review the [performance testing repository documentation](https://github.com/shubham-pampattiwar/velero-performance-testing)
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2. Check existing [OADP issues](https://github.com/openshift/oadp-operator/issues)
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3. Contribute improvements to the performance testing toolkit
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## Performance Testing Repository Structure
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The external repository includes:
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- **Automated scripts** for object creation and cleanup
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- **Velero integration** scripts for backup/restore testing
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- **Performance analysis** tools and reports
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- **Multiple test scenarios** (30k, 300k objects)
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- **Comprehensive documentation** with troubleshooting guides
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For complete usage instructions, refer to the [Velero Performance Testing Repository](https://github.com/shubham-pampattiwar/velero-performance-testing).

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