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 Cost Reduction
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 Cost & Operations
Cut your Kafka costs.
Switch with confidence.
For enterprises moving from Kafka, with more budget to invest in their product.
KubeMQ’s fixed-cost licensing can reduce messaging costs by 80%* compared to Kafka. Supported applications connect through the Kafka wire protocol. Separate KubeMQ Migration Tools assess workloads, copy topic records, map consumer offsets and prepare a controlled cutover.
- Put savings back into your product. Plan licensing by package size, not message volume.
- Move gradually, in your control. Choose which workloads move and when, with validation before each cutover.
- Let KubeMQ tools handle the migration steps. Assess compatibility, copy messages and map consumer offsets.
Kafka requires KubeMQ’s replicated storage engine used by new installations. Validate client versions, features and performance for your workloads. Total savings depend on your package, infrastructure and operating costs.
Migration requirements
Migration targets must use strict acknowledgment. Copying is resumable and at-least-once: a crash between target acknowledgment and offset-map persistence can duplicate one record per partition per crash. Cutover normally requires inactive source and target consumer groups. Plan and validate the transition for your applications.
Check Kafka compatibility ↗Cloud Messaging 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 uses an emulator-compatible interface, requires sticky routing for ordered subscriptions and an external encrypted transport boundary. SQS receipt handles are node-local; related operations must reach the serving node. SNS topic deduplication and SQS queue deduplication have distinct semantics. Validate API scope rather than assuming complete managed-service equivalence.
Messaging 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 depend on your deployment. Messaging authentication and authorization are configured separately from management authentication and RBAC; these controls are off by default. Configure transport and replication encryption separately, and arrange images, license keys and external dependencies for isolated environments.
Distributed & Edge Deployments
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 recovery during network interruptions must be designed and tested; deployment across sites does not imply automatic federation or disconnected recovery. MQTT retained messages are not supported, and sessions are in memory and node-local.
AI Agent Infrastructure
Connect agents
to your messaging workflows.
For teams adding agents to applications and operational workflows.
KubeMQ 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.
Configure authentication to establish agent identities and apply ownership controls.
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.
Try KubeMQ in one command
No signup. One standalone container. A 14-day evaluation on an empty data volume.
docker run -d --name kubemq -p 50000:50000 -p 9090:9090 -p 8080:8080 -p 9092:9092 -p 5672:5672 -v kubemq-data:/kubemq/store europe-docker.pkg.dev/kubemq/images/kubemq-next:latestOpen the dashboard and connect Kafka clients to localhost:9092. Keep the named volume when replacing the container.
Kubernetes and clusters require a license key. Starting a new evaluation on existing data also requires a key. Request a 30-day trial key. Both evaluation and trial servers need outbound HTTPS to license.kubemq.io; they refresh a 24-hour lease hourly.
By running, you accept the evaluation terms, including required usage reporting. Send your first Kafka message →