Solutions
Start with your challenge.
Find your path with KubeMQ.
From growing messaging costs to infrastructure requirements, explore how KubeMQ fits the workloads and environments your team runs.
High-volume messaging
Grow your workloads.
Plan your messaging spend.
For teams whose message volumes are growing faster than their budgets.
KubeMQ’s fixed-cost licensing is tiered by package size, not message volume. Evaluate a package against your capacity needs, then run it on infrastructure your team controls.
- Plan licensing around a defined package.
- Choose infrastructure that fits your workload.
- Compare total operating costs using your own usage and deployment requirements.
Kafka & Confluent
Revisit the economics.
Keep familiar clients.
For enterprises evaluating the cost and operational footprint of Kafka or Confluent workloads.
KubeMQ V3 supports the Kafka wire protocol directly, giving teams a way to evaluate their existing clients on a different messaging foundation. The kmq CLI supports read-only assessment, topic replication, offset mapping and configuration translation.
- Assess compatibility before committing to a move.
- Test representative producers, consumers and processing workloads.
- Plan a staged cutover with clear validation criteria.
Kafka requires KubeMQ’s next storage engine. Validate supported features and limitations for your applications.
Cloud cost control
Put cloud messaging
back in your cost model.
For teams evaluating alternatives to usage-based cloud messaging services.
KubeMQ supports SQS/SNS and Google Pub/Sub-compatible interfaces. Evaluate existing client libraries against KubeMQ while choosing where the broker runs and how its infrastructure is provisioned.
- Compare licensing, compute, storage, networking and operations together.
- Evaluate endpoint changes and supported API behavior.
- Bring infrastructure ownership into the cost decision.
Google Pub/Sub clients use an emulator-compatible interface. Validate service-specific behavior before migration.
Platform consolidation
Different applications.
A common messaging foundation.
Shared management and observability
For organizations operating multiple messaging technologies across different teams.
Native protocol support lets teams assess a common platform while retaining familiar application clients. Manage protocol configuration, inspect activity and review audit events through KubeMQ’s management tools.
- Evaluate applications protocol by protocol.
- Bring operational visibility into a common console.
- Use native SDKs and messaging patterns for new services.
A shared broker does not make different protocols interchangeable. Validate each workload’s semantics and isolation requirements.
Private, hybrid & isolated environments
Run where your
requirements take you.
For organizations that need direct control over data placement, access and infrastructure.
Deploy KubeMQ in your own Kubernetes environment, on-premises or in a private cloud. Use its deployment, security and management capabilities to build an operating model around your organization’s requirements.
- Control where messaging infrastructure and data reside.
- Configure authentication, access roles and audit logging.
- Assess network isolation, deployment dependencies and operational procedures.
Security and compliance requirements are deployment-specific. Management authentication and RBAC must be enabled in configuration.
Distributed & edge systems
Bring messaging closer
to the work.
For applications spread across sites, facilities or edge environments.
Evaluate KubeMQ on Kubernetes infrastructure close to the applications that produce and consume messages. Combine native queues, events and request/reply patterns with protocol support such as MQTT.
- Choose deployment locations around your topology.
- Match messaging patterns to local application behavior.
- Validate capacity, connectivity and recovery under real operating conditions.
Cross-site connectivity and behavior during network interruptions need to be designed and tested for your deployment. MQTT retained messages are not supported.
AI agent infrastructure
Connect agents
to your messaging workflows.
For teams adding agents to applications and operational workflows.
KubeMQ V3 includes an MCP server for sending, receiving and inspecting messages. A2A support adds agent registration, discovery, request/reply and streaming responses, backed by a replicated registry.
- Give agents access to messaging through MCP.
- Coordinate agent interactions through A2A.
- Keep the messaging infrastructure in your own environment.
Which challenge
are you working on?
Tell us what you run today and what needs to change. We’ll help you assess the fit and define a practical next step.