Event Backbone Modernization: ESB & MQ to Kafka
Replace legacy ESB, MQ, and middleware with a Kafka-based event backbone. Connect old systems into Kafka, manage hybrid on-prem and cloud clusters, and reduce custom integration code.

Complex mesh of flows on ESB and MQ. Batch jobs and file drops where teams need real-time feeds.
Kafka, legacy bus, and cloud tools growing in parallel with no clear backbone. No shared inventory of events, schemas, and consumers.
Fuzzy ownership between app, integration, and platform teams. Fragmented monitoring and tracing across platforms and regions.
Integration debt accumulates:
- Every new project wires its own path
- Flows duplicated across buses, topics, and files
- Nobody has a complete picture
- Changes break unknown dependencies
Multiple systems, no integration:
- Same data in multiple formats
- No canonical event model
- Risk of double processing
- Modernization stalls
Incidents are hard to diagnose:
- Problems cross multiple systems
- No end-to-end tracing
- Security gaps at boundaries
- MTTR measured in days, not hours
Connector Lifecycle
Deploy, configure, and monitor Kafka Connect connectors from one console. Manage MQ, EMS, CDC, and database connectors
Hybrid Visibility
One control plane for on-prem, Confluent Cloud, AWS MSK, Aiven, and self-managed clusters. See all environments, not just one
Event Catalog
Searchable inventory with owners, schemas, and labels. Teams find existing topics before creating duplicates
Connector Monitoring
Track connector status, lag, and errors across all Kafka Connect clusters. Alerts on failures
Connector Auto-Restart
Failed connectors automatically restart with configurable policies. Audit logs track every restart event
Enterprise IAM
RBAC via OIDC or LDAP. Map Kafka ACLs to Console groups. Encryption in transit and at rest
Bridge Legacy Systems
Manage Kafka Connect connectors for IBM MQ, Tibco EMS, RabbitMQ, and CDC sources. Deploy and monitor from one console
Multi-Cloud Ready
Confluent Cloud, AWS MSK, Aiven, and self-managed. Manage from one console
Schema Registry Integration
Integrates with Confluent Schema Registry and AWS Glue. Enforce Avro, Protobuf, or JSON schemas. Block breaking changes
Consumer Monitoring
Track consumer groups, lag, and offsets across all clusters. Identify bottlenecks
Dead-Letter Queues
Failed messages route to DLQ topics for inspection and replay. No data loss during schema validation
Incremental Migration
Move flows one at a time. Legacy and Kafka coexist during transition
How Conduktor Enables Event Modernization
From discovery to decommission, one platform guides the migration.
Connect to existing Kafka Connect clusters. Document schemas and topic ownership before migration starts
Deploy connectors from Conduktor Console. Monitor throughput and data quality during dual-write phase
Register migrated topics with schemas and owners. Enforce access policies from day one
Monitor consumer groups on new topics. Alert on lag before decommissioning old paths
Airline PSS Integration
Connect booking, ticketing, and DCS systems to a central event hub. Replace batch extracts with real-time streams
Retail POS Modernization
Stream store POS and TLOG data to Kafka. Unify with e-commerce and supply chain events
Manufacturing ERP-to-MES
Bridge ERP orders and schedules to MES systems through Kafka. Real-time production visibility
Grid Operations
Connect SCADA, forecasting, and market systems. Replace point-to-point with event backbone
Logistics TMS/WMS
Align transportation and warehouse management with real-time shipment events
Mainframe Offload
Stream mainframe events to Kafka through CDC. Enable cloud-native consumers
Once migrated, enable self-service Kafka provisioning for your teams. See how Conduktor Gateway enforces data quality and schema validation.
Read more customer stories
Frequently Asked Questions
Can we migrate from MQ to Kafka incrementally?
Yes. Bridge legacy flows into Kafka one at a time. Consumers can read from both during transition. No big-bang cutover required.
What legacy systems can Conduktor connect to Kafka?
Conduktor manages Kafka Connect connectors. Connectors available for IBM MQ, Tibco EMS, RabbitMQ, ActiveMQ, mainframe CDC, databases, and file systems.
How do we handle schema differences during migration?
Schema Registry enforces contracts. Transform legacy formats to canonical schemas at the connector level.
Does Kafka support ordering and exactly-once delivery?
Kafka preserves ordering per partition. Exactly-once semantics available with transactional producers and consumers.
Do we need to rewrite consumers when migrating to Kafka?
Not immediately. Bridge consumers can read from Kafka while legacy apps still use MQ. Migrate consumers at your own pace.
See Event Backbone Modernization in Action
Get a personalized demo with your architecture. We'll map your current state and show how Conduktor fits your migration path.