Managed Kafka BYOC options (run in our AWS/GCP/Azure account) with private networking and enterprise IAM

Most teams shopping for “managed Kafka” with BYOC quickly realize they’re not just buying a message bus anymore. You’re trying to run critical, event-driven and agentic workloads in your own AWS/GCP/Azure account, behind private networking, under your enterprise IAM and compliance regime—without rebuilding Kafka operations from scratch.

Quick Answer: Redpanda BYOC is a Kafka-compatible, fully managed streaming platform that runs inside your own AWS, GCP, or Azure account with private networking and enterprise-grade IAM. You keep control of the cloud, network, and data perimeter; Redpanda runs the engine, operations, and SLOs.

The Quick Overview

What It Is: A Bring Your Own Cloud (BYOC) managed Kafka alternative that deploys Redpanda clusters into your AWS, GCP, or Azure account, operated by Redpanda but owned and isolated within your cloud environment.
Who It Is For: Platform, data, and security teams that need Kafka-compatible streaming—with AI/agent workloads on top—while enforcing strict network isolation, data sovereignty, and enterprise IAM.
Core Problem Solved: Traditional Kafka services either run in their cloud with limited control, or leave you with all the operational burden. Redpanda BYOC gives you full cloud control and private networking while offloading day‑two Kafka operations and performance tuning.

How It Works

At a high level, Redpanda BYOC flips the usual managed Kafka model. Instead of sending data to a vendor’s cloud, you invite Redpanda into your AWS/GCP/Azure account. Redpanda provisions, manages, and monitors clusters using the same high-performance engine that powers our largest customers—while your security team maintains ownership of the underlying infrastructure, networking, and IAM.

Connect (Deploy in Your Account):
Redpanda BYOC clusters run on Recognized Cloud Provider Services in your AWS, GCP, or Azure account. Redpanda automates provisioning and configuration using infrastructure-as-code patterns and battle-tested defaults. You get:
- Full control over VPCs, subnets, and routing
- Ability to align clusters with your existing landing zones and compliance boundaries
- Kafka API compatibility so your existing producers/consumers just point at a new bootstrap URL
Control (Private Networking + Enterprise IAM):
Once deployed, clusters are wired into your private networking and identity strategy:
- Private endpoints within your VPC; no need to hairpin traffic through public internet
- Integration with your IAM roles and identity providers (e.g., OIDC, IAM Roles for compute, SSO for console access)
- Fine-grained ACLs and encryption (TLS/mTLS) to isolate tenants, teams, and workloads You retain network-level control; Redpanda layers on topic-level and client-level controls.
Operate (Fully Managed Kafka-Compatible Engine):
Redpanda’s team operates the clusters 24x7: upgrades, scaling, balancing, and incident response.
- High-throughput C++ engine with integrated auto-partition balancing
- Tiered storage for long retention without exploding broker counts
- Dedicated Redpanda Console, audit logging, and optional managed Kafka Connect cluster You get Kafka-compatible semantics without the operational drag of running the stack yourself.

Features & Benefits Breakdown

Core Feature	What It Does	Primary Benefit
Bring Your Own Cloud (BYOC) Architecture	Deploys Redpanda Dedicated clusters into your own AWS, GCP, or Azure account	Maintain data sovereignty, cloud cost visibility, and compliance while offloading operations
Private Networking & Isolation	Runs entirely inside your VPCs with private endpoints and your routing policies	Keep traffic off the public internet, align with zero-trust and segmentation standards
Enterprise IAM & Access Control	Integrates with IAM roles, OIDC/SSO, TLS/mTLS, and ACLs for Kafka clients and console users	Enforce least privilege for services and humans, meet enterprise audit and security requirements

Ideal Use Cases

Best for regulated and security-sensitive environments: Because it keeps data, network paths, and compute inside your AWS/GCP/Azure account, while providing managed operations and Kafka compatibility. Think finance, healthcare, government, or any team facing strict data residency and audit rules.
Best for large-scale event-driven and agentic workloads: Because the Redpanda engine is built for high throughput (tested to 100GB/min and 100K tx/s) and long retention with tiered storage, letting you feed both real-time microservices and AI agents without running a sprawling Kafka stack.

Limitations & Considerations

Requires cloud account readiness: You need a mature AWS/GCP/Azure setup—VPCs, subnets, IAM conventions, and governance—to get the most value from BYOC. Redpanda can guide patterns, but the cloud account remains your responsibility.
Not a generic multi-tenant SaaS: BYOC is designed for single-tenant clusters in your environment, not a shared, click-and-forget Kafka endpoint. That’s by design for compliance and control, but it’s different from lightweight dev-only Kafka services.

Pricing & Plans

Redpanda Data Cloud BYOC uses the same core engine as our Dedicated managed offering, but runs it inside your cloud account. Pricing reflects managed cluster operations plus the cloud resources you provision on AWS, GCP, or Azure.

At a high level:

You pay your cloud provider directly for compute, storage, and networking.
You pay Redpanda for the managed service (control plane, SLO-backed operations, support).

If you’re comparing options:

Redpanda Serverless / Dedicated (vendor-owned account): Best when you want “just managed Kafka” without owning the underlying cloud infrastructure.
Redpanda BYOC (your account): Best when you need strict compliance, data sovereignty, and network control—but still want the simplicity of a managed, Kafka-compatible engine.

Typical plan alignment:

Growth / Team tier: Best for engineering teams consolidating Kafka workloads into a managed solution while staying within their security perimeter.
Enterprise tier: Best for organizations with strict regulatory requirements or large-scale, mission-critical streaming (and agentic) workloads that demand SLAs, 24x7 support, and advanced features like tiered storage and audit logging.

For exact pricing, sizing, and TCO comparisons against your current Kafka setup, you’ll want to engage directly with Redpanda sales and solution engineers.

Frequently Asked Questions

Can we keep all Kafka traffic inside our VPC with Redpanda BYOC?

Short Answer: Yes. Redpanda BYOC runs in your AWS/GCP/Azure account with private networking and can be restricted to your VPCs and private endpoints.

Details:
With BYOC, Redpanda provisions the cluster on infrastructure that lives entirely in your cloud account. You control the VPC, subnets, routing, and security groups. This means:

Brokers and the Redpanda Console live inside your VPC.
Client access can be restricted to private subnets, peered networks, or on-prem via VPN/Direct Connect/Interconnect/ExpressRoute.
You can align network policies with your existing zero-trust standards, segment environments (dev/stage/prod), and enforce inspection points exactly where your security team wants them.

The only outbound communication required is a narrow control-plane path back to Redpanda for management and monitoring, governed by your policies.

How does IAM and access control work with Redpanda BYOC?

Short Answer: You keep your cloud IAM; Redpanda adds Kafka-level and console-level controls on top.

Details:
In BYOC, your cloud IAM remains the source of truth for infrastructure-level access:

Use IAM roles for compute (e.g., EC2, Kubernetes, serverless) to grant Kafka access via ACLs.
Use your identity provider (OIDC/SSO) to manage human access to the Redpanda Console.
Use TLS/mTLS to authenticate services and encrypt data in transit.

On top of that, Redpanda enforces:

Topic-level and client-level ACLs to scope what services can read/write.
Per-environment isolation via separate clusters or namespaces.
Audit logging of administrative actions and access changes.

This pattern becomes especially powerful as you move into agentic workloads, where you need to govern every action before it happens and maintain a permanent record of what services and agents did across time.

Summary

Managed Kafka BYOC isn’t just about where brokers run—it’s about who owns the blast radius when you wire event streams into critical systems and AI agents. Redpanda BYOC gives you a Kafka-compatible, high-performance streaming engine operated by Redpanda, running inside your own AWS, GCP, or Azure account under your private networking and IAM model.

You keep control of cloud, network, and compliance. Redpanda handles the hard parts of running Kafka at scale: operations, performance, tiered storage, and 24x7 reliability. The result is a streaming backbone ready for both traditional microservices and a new wave of agentic workloads, without the chaos of DIY Kafka operations or vendor-side multi-tenant limitations.

Next Step

Get Started