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.

Event Backbone Modernization: ESB & MQ to Kafka

Trusted by platform teams at

Vattenfall
Dick's Sporting Goods
Consolidated Communications
Air France
Capital Group
Cigna
IKEA
ING
Honda
Flix
Caisse des Dépôts
Lufthansa
Vattenfall
Dick's Sporting Goods
Consolidated Communications
Air France
Capital Group
Cigna
IKEA
ING
Honda
Flix
Caisse des Dépôts
Lufthansa

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.

1
Discover & Map

Connect to existing Kafka Connect clusters. Document schemas and topic ownership before migration starts

2
Bridge & Validate

Deploy connectors from Conduktor Console. Monitor throughput and data quality during dual-write phase

3
Catalog & Govern

Register migrated topics with schemas and owners. Enforce access policies from day one

4
Cutover & Retire

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.

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