# Performance

[](/en/performance/index.html.md "View as Markdown") 

## Practical search performance guide

See [practical search performance guide](practical-search-performance-guide.html). The guide walks through a music search use case and gives a practical introduction to Vespa search performance.

## Sizing and capacity planning

Sizing and capacity planning involves figuring out how many nodes are needed and what kind of hardware flavor best fits the use case:

- [Sizing Vespa search](sizing-search.html): How to size a Vespa search cluster
- [Caching in Vespa](caches-in-vespa.html): How to enable caches in Vespa 
- [Attributes and memory usage](../content/attributes.html): How attributes impact the memory footprint, find attribute memory usage
- [Proton maintenance jobs](../content/proton.html#proton-maintenance-jobs): Impact on resource usage
- [Coverage degradation](graceful-degradation.html): Timeout handling and Degraded Coverage

## Benchmarking and tuning

Benchmarking is important both during sizing and for testing new features. What tools to use for benchmarking and how to tune system aspects of Vespa:

- [Benchmarking Vespa](benchmarking.html): Test Vespa performance
- [Search features and performance](feature-tuning.html)
- [Feed performance](sizing-feeding.html)
- [Container Http performance testing using Gatling](container-http.html)
- [Container tuning](container-tuning.html): JVM, container, docproc
- [vespa-fbench](/en/reference/operations/tools.html#vespa-fbench): Reference documentation
- [HTTP/2](http2.html): improve HTTP performance using HTTP/2

## Profiling

Do a deep performance analysis - how to profile the application as well as Vespa:

- [Profiling](profiling.html): Generic profiling tips.
- [Valgrind](valgrind.html): Run Vespa with Valgrind

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