> For the complete documentation index, see [llms.txt](https://docs.seldon.ai/seldon-core-2/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.seldon.ai/seldon-core-2/user-guide/performance-tuning/pipelines.md).

# Pipelines

This section covers various aspects of optimizing pipeline performance in Seldon Core 2, from testing methodologies to Core 2 configuration. Each subsection provides detailed guidance on different aspects of pipeline performance tuning:

## [Testing Pipelines](/seldon-core-2/user-guide/performance-tuning/pipelines/testing-pipelines.md)

Learn how to effectively test and optimize pipeline performance:

* Understanding pipeline latency components
* Identifying and reducing bottlenecks
* Balancing model replicas and resources

## [Core 2 Configuration](/seldon-core-2/user-guide/performance-tuning/pipelines/core-2-configuration.md)

Explore how to configure Core 2 components for optimal pipeline performance:

* Understanding Core 2 data processing components
* Optimizing Kafka integration
* Configuring Core 2 services

## [Scalability of Pipelines](/seldon-core-2/user-guide/performance-tuning/pipelines/scalability-pipelines.md)

Understand how Core 2 components scale with the number of deployed pipelines and models:

* Dynamic scaling of dataflow engine, model gateway, and pipeline gateway
* Loading and unloading of models and pipelines
* Assignment of pipelines and models to replicas

Each of these aspects plays a crucial role in achieving optimal pipeline performance. We recommend starting with testing individual models in your pipeline, then using those insights to inform your Core 2 configuration and overall pipeline optimization strategies.


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