# eBPF

## Introduction

This document provides a technical overview of how Pynt leverages **eBPF** to **capture real-time HTTP traffic, generate HAR files**, and seamlessly integrate with Pynt’s SaaS platform for **deep API security insights**.

By implementing **eBPF-based live traffic**, Pynt enables **comprehensive API visibility**—identifying both **known and shadow APIs** while ensuring minimal system overhead.

## Architecture Diagram

<figure><img src="/files/4YxPnVlSXYRwD60H2yBN" alt=""><figcaption></figcaption></figure>

## Installation & Deployment

### **Access to Deployment Manifests**

To deploy Pynt’s **eBPF Live Traffic integration**, please **contact our team**. We will provide:

* **Kubernetes manifests** for seamless installation.
* A **detailed README** with setup instructions.

### **Guided Deployment Support**

Our security experts are available to assist you with:

* Customizing filters, storage limits, and network configurations.
* Ensuring smooth integration into your Kubernetes environment.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.pynt.io/documentation/security-testing-integrations/live-traffic-connectors/ebpf.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.