update cloud overview adp focus #493
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📝 WalkthroughWalkthroughThis change updates the cloud-overview documentation page to introduce and comprehensively describe the Redpanda Agent Development Platform (ADP). It restructures existing content about deployment options—BYOC, Dedicated, and Serverless—to position ADP with BYOC as its primary deployment model. The update adds new sections detailing ADP components (AI Agents, MCP Servers, AI Gateway, Catalog), enterprise capabilities (unified authorization, observability, compliance), and the control plane/data plane separation model. A new ADP row is added to the deployment comparison table, and cross-reference links are updated to point to the reorganized AI agents and ADP documentation. Estimated code review effort🎯 2 (Simple) | ⏱️ ~12 minutes Possibly related PRs
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Align messaging with public demo content: emphasize manufacturing use case, add multi-agent architecture, highlight MCP server security features (injection attack prevention), strengthen interoperability messaging, and remove OXLA references not yet in public materials. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
# Conflicts: # modules/get-started/pages/whats-new-cloud.adoc
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| Redpanda ADP is built on open standards and protocols, allowing you to pick and choose components that fit your needs. Integrate with existing agent frameworks, data processing systems, or custom code. It includes the following key components: | ||
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| * **AI agents**: Deploy declarative agents or bring your own agent frameworks (LangChain, LlamaIndex, and others). Build multi-agent systems where specialized sub-agents handle specific responsibilities, following single-responsibility principles. | ||
| * **MCP servers**: Build lightweight data and action interfaces using a low-code framework based on xref:develop:connect/about.adoc[Redpanda Connect]. Connect to hundreds of data sources (databases, cloud storage, APIs) and enforce fine-grained policies that programmatically prevent prompt injection and SQL injection attacks. MCP servers are extremely lightweight—run dozens on minimal resources—with OIDC-based access control and real-time debugging capabilities. |
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MCP Servers Provide a unified API for accessing data sources. We will support MCP Servers through connect as well as MCP servers hosted by customers.
| == Redpanda Agentic Data Plane (ADP) | ||
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| == Redpanda Cloud cluster types | ||
| Redpanda ADP is an enterprise-grade infrastructure for building, deploying, and managing AI agents at scale. Redpanda ADP provides unified governance, observability, and security for agentic applications while leveraging Redpanda's streaming and analytical capabilities as the foundational data fabric. |
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data fabric is too much of a buzz word. maybe try "for agentic platforms, powered by Redpanda's best-in-class streaming and analytics foundations.
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replaced with #494 |
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Description
This pull request updates the Redpanda Cloud documentation to introduce and describe the Redpanda Agentic Data Plane (ADP), emphasizing its capabilities, deployment model, and integration with existing Redpanda Cloud offerings. The changes clarify ADP's enterprise features, its primary deployment via BYOC, and its relevance for AI agent applications. The documentation also updates tables and beta feature listings to reflect ADP support.
Added a section describing ADP, including its components (AI Agents, MCP Servers, AI Gateway), enterprise features (authorization, observability, compliance), deployment model, and use cases.
Clarified that BYOC is the primary deployment model for ADP, detailing how ADP components are deployed into customer cloud environments for data sovereignty and security.
Updated the cluster types table to indicate ADP support, highlighting that BYOC is the main model for production ADP deployments.
Revised the beta features list to reference ADP and added links for building AI agents with ADP in the next steps section.
Resolves https://redpandadata.atlassian.net/browse/DOC-1900
Review deadline: Feb 5
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Redpanda Cloud Overview
ADP Overview
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