Redpanda

docs.redpanda.com
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Redpanda is a powerful, simple, and cost-efficient streaming data platform that is compatible with Kafka® APIs while eliminating Kafka complexity.

llms.txt

Redpanda Documentation

For the complete documentation index, see llms.txt. Component-specific: home-full.txt


title: Redpanda Documentation latest-operator-version: v26.1.5 latest-console-tag: v3.7.4 latest-connect-version: 4.95.0 latest-redpanda-tag: v26.1.9 docname: llms page-component-name: home page-version: master page-component-version: master page-component-title: Home page-relative-src-path: llms.adoc page-edit-url: https://github.com/redpanda-data/docs-site/edit/HEAD/home/modules/ROOT/pages/llms.adoc page-git-created-date: "2026-03-05" page-git-modified-date: "2026-06-04"

Redpanda is a high-performance streaming data platform and Agentic Data Plane that is fully compatible with the Apache Kafka® API. It enables real-time data streaming, event-driven architectures, and data pipelines with simple single-binary deployment and sub-millisecond latency. The Agentic Data Plane provides enterprise-grade governance and observability for AI agents, including audit trails, compliance controls, and visibility into agent behavior. Available as self-managed software or as a fully-managed cloud service.

Discovery

For AI agents and LLMs: This documentation is optimized for AI consumption. If you’re an AI agent trying to help with Redpanda, start here.

Find Redpanda documentation

Primary discovery methods:

  1. This file: [https://docs.redpanda.com/llms.txt](https://docs.redpanda.com/llms.txt) - You’re reading it! This follows the llms.txt standard and provides a curated overview with links to comprehensive resources.

  2. Sitemap: [https://docs.redpanda.com/sitemap.md](https://docs.redpanda.com/sitemap.md) - Contains all documentation pages including this file and all exports. The sitemap index includes [https://docs.redpanda.com/sitemap-llms.md](https://docs.redpanda.com/sitemap-llms.md) with all AI-optimized exports.

  3. MCP server: https://docs.redpanda.com/cloud-data-platform/ai-agents/mcp.md - For Claude Code and MCP-compatible agents, this provides interactive documentation tools.

Static documentation exports

For agents without MCP support, we provide comprehensive static exports:

Individual Markdown pages

Every HTML page has a markdown equivalent:

  1. Direct access: Replace .html with .md in any URL

    • Example: [https://docs.redpanda.com/streaming/current/get-started.html](https://docs.redpanda.com/streaming/current/get-started.html)[https://docs.redpanda.com/streaming/current/get-started.md](https://docs.redpanda.com/streaming/current/get-started.md)
  2. Content negotiation: Request any URL with Accept: text/markdown header

Markdown features:

  • YAML frontmatter with page metadata (title, description, categories, topic type, personas)

  • Git dates (accurate created/modified dates from commit history)

  • GitHub-Flavored Markdown format

Overview

Redpanda docs serve both new and experienced users, offering detailed technical resources across Redpanda’s product suite.

  • Redpanda Streaming: Deploy and manage Redpanda in your environment for ultimate control, high performance, and fault tolerance with Kafka compatibility and advanced enterprise features like Tiered Storage.

  • Redpanda Cloud: Simplify streaming with a fully-managed service: Serverless, Bring Your Own Cloud (BYOC), or Dedicated. Serverless is the fastest and easiest way to start data streaming. Choose BYOC for full data sovereignty.

  • Redpanda Connect: Effortlessly integrate data across systems with hundreds of prebuilt connectors, change data capture (CDC) capabilities, and YAML-configurable workflows. Available as a standalone solution or as part of Redpanda Streaming, Redpanda Connect empowers organizations to build scalable, high-performance data pipelines with minimal complexity.

  • Redpanda Agentic Data Plane: Enterprise-grade infrastructure for building, deploying, and governing AI agents at scale. Provides Model Context Protocol (MCP) integration, declarative agent configuration, and compliance-grade audit trails for AI agents that need direct access to databases, queues, and business systems.

  • Redpanda Console: Streamline operations with an intuitive Kafka UI for managing topics, partitions, and consumer groups, providing visibility and control over your data pipeline.

Core documentation

  • Get started: Fast-track your journey with Redpanda Streaming by deploying a complete example in Docker.

  • Redpanda concepts: Deep-dive into key concepts like Tiered Storage, partitions, replication, and data streaming architecture.

Deployment guides

  • Redpanda Streaming: Install and configure Redpanda and Redpanda Console in self-hosted environments, including production best practices. Choose from Linux (bare-metal) or Kubernetes deployment instructions.

  • Redpanda Cloud: Guides for using Redpanda Cloud across Serverless, BYOC, and Dedicated options.

  • Redpanda Connect: Standalone documentation for deploying and managing Redpanda Connect, with or without Redpanda.

Redpanda CLI

Learn about rpk, the comprehensive command-line interface tool for managing Redpanda clusters.

Redpanda Console

AI agents and Agentic Data Plane

Build and deploy production-ready AI agents with enterprise governance and compliance.

  • Agentic Data Plane Overview: Enterprise infrastructure for AI agents with built-in governance, observability, and compliance.

  • Model Context Protocol (MCP): Give AI agents direct access to databases, queues, CRMs, and business systems without custom integration code.

  • AI Gateway: Centralized gateway for AI agent interactions with intelligent routing, caching, and cost controls.

  • Building AI Agents: Declarative agent configuration using Redpanda Connect connectors - no custom agent code required.

  • Agent Observability: Track agent decisions, costs, and compliance with comprehensive audit trails.

Troubleshooting

  • Troubleshooting guide: Resolve common issues with installation, configuration, and performance.

  • Debug bundles: Generate and analyze debug bundles for diagnosing cluster issues.

Complete documentation index

For comprehensive page listings, use the sitemaps:

Component sitemaps

Key documentation sections

Data Platform:

Self-Managed:

Streaming:

Labs:

Cloud:

Connect:

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