> For the complete documentation index, see [llms.txt](https://docs.trilio.io/kubernetes/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.trilio.io/kubernetes/appendix/performance.md).

# Performance

Performance testing, tuning, and optimization guides for Trilio for Kubernetes.

## Overview

This section contains resources for measuring, analyzing, and optimizing the performance of Trilio Vault deployments, including backup speeds, resource utilization, and storage target optimization.

## Available Resources

| Resource                                                                                        | Purpose                                                 |
| ----------------------------------------------------------------------------------------------- | ------------------------------------------------------- |
| [backup-performance-testing.md](/kubernetes/appendix/performance/backup-performance-testing.md) | Measure and analyze backup performance metrics          |
| [s3-as-backup-target/](/kubernetes/appendix/performance/s3-as-backup-target.md)                 | S3-specific performance considerations and optimization |

## S3 Backup Target Resources

* [tvk-s3-fuse-plugin-performance.md](/kubernetes/appendix/performance/s3-as-backup-target/tvk-s3-fuse-plugin-performance.md) - Performance characteristics of the S3 FUSE plugin

## When to Use This Section

Use this section when you need to:

* Measure and benchmark backup and restore performance
* Identify performance bottlenecks in your T4K deployment
* Optimize storage target performance
* Tune resource allocations for better throughput
* Compare performance across different backup targets
* Monitor performance trends over time

## Performance Testing Best Practices

When performing performance testing:

1. **Baseline Current Performance** - Establish metrics before making changes
2. **Control Variables** - Test one change at a time
3. **Use Realistic Workloads** - Test with representative data volumes and types
4. **Document Results** - Record configurations and measurements for comparison
5. **Run Multiple Tests** - Average multiple runs to account for variability

## Related Sections

* [**Reference**](/kubernetes/appendix/reference.md) - Best practices and requirements
* [**Storage**](/kubernetes/appendix/storage.md) - Storage backend configuration
* [**Integrations**](/kubernetes/appendix/integrations.md) - Integration with monitoring tools