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modules/get-started/pages/cloud-overview.adoc

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= Redpanda Cloud Overview
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:description: Learn about Redpanda Serverless, Bring Your Own Cloud (BYOC), and Dedicated clusters.
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:description: Learn about the Redpanda Agentic Data Plane (ADP) and deployment options including BYOC, Dedicated, and Serverless clusters.
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:page-aliases: cloud:dedicated-byoc.adoc, deploy:deployment-option/cloud/dedicated-byoc.adoc, deploy:deployment-option/cloud/cloud-overview.adoc
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Redpanda Cloud is a complete data streaming platform delivered as a fully-managed service. It provides automated upgrades and patching, data balancing, and support while continuously monitoring your clusters and underlying infrastructure to meet strict performance, availability, reliability, and security requirements. All Redpanda Cloud clusters are deployed with an integrated glossterm:Redpanda Console[], and all clusters have access to unlimited retention and 300+ data connectors with xref:develop:connect/about.adoc[Redpanda Connect].
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Redpanda Cloud is a complete data streaming and agentic data plane platform delivered as a fully-managed service. It provides automated upgrades and patching, data balancing, and support while continuously monitoring your clusters and underlying infrastructure to meet strict performance, availability, reliability, and security requirements. All Redpanda Cloud clusters are deployed with an integrated glossterm:Redpanda Console[], and all clusters have access to unlimited retention and 300+ data connectors with xref:develop:connect/about.adoc[Redpanda Connect].
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TIP: For more detailed information about the Redpanda platform, see xref:get-started:intro-to-events.adoc[] and xref:get-started:architecture.adoc[].
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== Redpanda Agentic Data Plane (ADP)
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== Redpanda Cloud cluster types
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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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Redpanda Cloud offers three fully-managed cloud deployment options, each designed for different use cases:
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NOTE: AI Gateway is supported on BYOC clusters running Redpanda version 25.3 and later.
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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.
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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.
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* **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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* **AI Gateway**: Manage LLM provider access with cost controls, rate limiting, intelligent routing, and failover support across multiple providers.
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//* **Catalog**: Maintain a centralized repository of agents, MCP servers, tools, and policies. Share components across teams and enforce organization-wide standards.
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=== Enterprise capabilities for AI agents
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Redpanda ADP addresses critical enterprise requirements for AI agent deployments:
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*Security by design*: MCP servers enforce policies at the tool level, programmatically preventing prompt injection, SQL injection, and other agent-based attacks. Policy enforcement is deterministic and controlled. Agents cannot bypass security constraints even through creative prompting.
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*Unified authorization*: All components use OIDC-based authentication with an "on-behalf-of" authorization model. When a user invokes an agent, the agent inherits the intersection of its own permissions and the user's permissions, ensuring proper data access scoping.
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*Complete observability*: Redpanda ADP provides two levels of inspection: execution logs (transcripts) capture every agent action with 100% sampling using OpenTelemetry standards, while real-time debugging tools allow inspection of individual MCP server calls. Traces span across services and go as deep as needed, down to individual tool invocations with full timing data. View detailed agent actions in Redpanda Console and replay data for agent evaluations.
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*Compliance and audit*: For industries requiring multi-year audit trails, Redpanda ADP records every agent action and data source used in decision-making. Execution logs are stored in Redpanda topics and can be materialized to Iceberg tables for long-term retention and analysis.
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=== Use cases
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Organizations can use Redpanda ADP to:
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* *Automate operational workflows*: Create specialized agents for building management, infrastructure monitoring, compliance reporting, and other domain-specific tasks
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* *Monitor manufacturing and operations*: Deploy multi-agent systems that analyze factory machine telemetry in real-time, detect anomalies, search equipment manuals, and create maintenance tickets automatically. Use data aggregation patterns (like tumbling windows) to process high-volume sensor data before sending insights to agents.
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* *Extend enterprise productivity tools*: Integrate Microsoft Copilot or other workplace agents with internal data sources and systems that are otherwise inaccessible
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See also: xref:ai-agents:index.adoc[].
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== Redpanda Cloud deployment options
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Redpanda Cloud applications are supported by three fully-managed deployment options:
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* **<<Serverless>>**: Fastest way to get started with automatic scaling
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* **<<Dedicated>>**: Production clusters in Redpanda's cloud with enhanced isolation
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| Redpanda's cloud (AWS/Azure/GCP)
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| Your cloud account (AWS/Azure/GCP)
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| *Redpanda ADP*
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| ✗
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| ✗
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| ✓
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| *Tenancy*
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| Multi-tenant
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| Single-tenant
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| 20 (default), 32 (max)
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| *Private networking*
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|
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|
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| ✓
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| ✓
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=== Dedicated
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With Dedicated clusters, you host your data on Redpanda Cloud resources (AWS, GCP, or Azure), and Redpanda handles provisioning, operations, and maintenance. Dedicated clusters are single-tenant deployments that support private networking (for example, VPC peering to talk over private IPs) for better data isolation.
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When you create a Dedicated cluster, you select the supported xref:reference:tiers/dedicated-tiers.adoc[tier] that meets your compute and storage needs.
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With Dedicated clusters, you host your data on Redpanda Cloud resources (AWS, GCP, or Azure), and Redpanda handles provisioning, operations, and maintenance. When you create a Dedicated cluster, you select the supported xref:reference:tiers/dedicated-tiers.adoc[tier] that meets your compute and storage needs.
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==== Sign up for Dedicated
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=== Bring Your Own Cloud (BYOC)
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With BYOC clusters, the Redpanda data plane (including Redpanda ADP components and Redpanda brokers) deploys into your existing VPC or VNet, ensuring all data remains in your environment.
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With BYOC clusters, you deploy the Redpanda glossterm:data plane[] into your existing VPC (for AWS and GCP) or VNet (for Azure), and all data is
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contained in your own environment. This provides an additional layer of security and isolation. (See xref:get-started:byoc-arch.adoc[].) Redpanda manages provisioning, monitoring, upgrades, and security policies, and it manages required resources in your VPC or VNet, including subnets (subnetworks in GCP), IAM roles, and object storage resources (for example, S3 buckets or Azure Storage accounts).
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The BYOC infrastructure that Redpanda manages should not be used to deploy any other workloads.
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For details about the control plane - data plane framework in BYOC, see xref:get-started:byoc-arch.adoc[BYOC architecture].
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==== Sign up for BYOC
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To start using BYOC, contact https://redpanda.com/try-redpanda?section=enterprise-trial[Redpanda sales^] to request a private offer with possible discounts. You are billed directly or through Google Cloud Marketplace or AWS Marketplace.
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Consider BYOC or Dedicated if you need more control over the deployment or if you have workloads with consistently-high throughput. BYOC and Dedicated clusters offer the following features:
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* Private networking
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* Redpanda Agentic Data Plane (ADP): BYOC only
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* Multiple availability zones (AZs). A multi-AZ cluster provides higher resiliency in the event of a failure in one of the zones.
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* Role-based access control (RBAC) in the data plane
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* Kafka Connect
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When you sign up for a Redpanda account, Redpanda creates an organization for you. Your organization contains all your Redpanda resources, including your clusters and networks. Within your organization, Redpanda creates a default resource group to contain your resources. You can rename this resource group, and you can create more resource groups. For example, you may want different resource groups for production and testing.
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For details about the control plane - data plane framework in BYOC, see xref:get-started:byoc-arch.adoc[BYOC architecture].
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[TIP]
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====
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For more detailed information about the Redpanda platform, see xref:get-started:intro-to-events.adoc[] and xref:get-started:architecture.adoc[].
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====
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== Shared responsibility model
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The following features are currently in limited availability in Redpanda Cloud:
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* Serverless
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* Dedicated for Azure
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== Features in beta
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The following features are currently in beta in Redpanda Cloud:
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* Serverless on GCP
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* BYOVNet for Azure
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* Secrets Management for BYOVPC on GCP and AWS
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* xref:ai-agents:index.adoc[AI agents with MCP servers]
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* xref:ai-agents:index.adoc[Redpanda ADP] including AI agents, MCP servers, AI Gateway, and Transcripts
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* Several Redpanda Connect components
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== Next steps
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* xref:ai-agents:index.adoc[Build AI agents with Redpanda ADP]
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* xref:manage:maintenance.adoc[Learn about upgrades and maintenance]
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* xref:get-started:cluster-types/serverless.adoc[Create a Serverless cluster]
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* xref:get-started:cluster-types/byoc/index.adoc[Create a BYOC cluster]

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