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	Measure and analyze backup performance metrics
s3-as-backup-target/	S3-specific performance considerations and optimization

S3 Backup Target Resources

• 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 - Best practices and requirements

• Storage - Storage backend configuration

• Integrations - Integration with monitoring tools