Kafka Platform Modernization for Retail
Migrate from VMs to Kubernetes, on-prem to Confluent Cloud, legacy connectors to modern integrations. One console manages hybrid environments during transition. No big-bang cutovers.
Trusted by platform teams at
Hundreds of VMs across data centers. Old Confluent Platform versions that can't upgrade without breaking applications. Technical debt compounds.
Cloud and on-prem clusters running in parallel. No unified view. Different tools, different credentials, different operational procedures.
Moving applications to new clusters means changing connection strings, validating schemas, and testing failover. Downtime risk blocks progress.
The typical estate:
- 200+ VMs managing Kafka
- Stuck on Confluent 7.x
- PCF/Tanzu EOL approaching
- Modernization always "next quarter"
Split-brain operations:
- Console for cloud, CLI for on-prem
- Monitoring scattered across tools
- No consolidated topic catalog
- Incidents cross both worlds
Every migration feels risky:
- Consumer offset translation unclear
- Schema compatibility questions
- Application restart coordination
- Teams avoid change
Multi-Cluster Visibility
Manage Confluent Cloud, AWS MSK, Azure Event Hubs, and self-managed clusters from one console. See topics, consumers, and lag across all environments
Hybrid Monitoring
Track broker health, consumer groups, and connector status across on-prem and cloud. One dashboard during migration
Schema Registry Integration
Integrates with Confluent Schema Registry. Validate schema compatibility before migrating producers
Connector Management
Deploy, configure, and monitor Kafka Connect connectors across all clusters. Bridge legacy systems during transition
Port-Based Routing
Gateway routes traffic by port. Migrate applications incrementally without connection string changes
Multi-Environment RBAC
Unified permissions across clusters. Teams get consistent access whether targeting on-prem or cloud
Bridge Legacy Systems
Manage connectors for IBM MQ, databases, and file systems. Bring legacy data into Kafka during modernization
Cloud Migration Path
Start with hybrid visibility. Migrate topics incrementally. Validate with chaos testing before cutover
Topic Catalog
Searchable inventory with owners, schemas, and labels across all clusters. Find topics regardless of where they live
Consumer Lag Tracking
Monitor consumer groups across old and new clusters. Identify applications falling behind during migration
Audit Trails
Centralized logs for all admin actions across environments. Compliance visibility during transition
Zero-Downtime Migration
Gateway handles routing during migration. Applications follow automatically
How Kafka Modernization Works
From fragmented estate to unified platform.
Connect Conduktor to all existing clusters. Build a complete topic catalog with owners, schemas, and consumers
Operate old and new clusters from one console. Consistent tooling reduces context switching
Move applications one at a time through Gateway routing. Validate each migration before proceeding
Monitor old cluster activity. Alert when topics are no longer consumed. Retire safely
VM to Kubernetes
Migrate from PCF/Tanzu to AKS, EKS, or GKE. Conduktor manages Kafka regardless of deployment model
On-Prem to Cloud
Move from self-managed Confluent Platform to Confluent Cloud. Hybrid visibility during transition
Connector Modernization
Replace deprecated connectors with supported alternatives. Monitor both during migration
Version Upgrades
Validate schema compatibility and consumer behavior before upgrading Kafka versions
Multi-Region Expansion
Add clusters in new regions. Unified view across all environments
Cost Optimization
Identify unused topics and over-provisioned resources. Optimize before and after migration
For peak season preparation, see resilience testing. For team self-service, see developer self-service. For sharing data with partners, see supply chain sharing.
Read more customer stories
Frequently Asked Questions
Can we migrate to cloud incrementally?
Yes. Connect Conduktor to both on-prem and cloud clusters. Migrate topics and applications one at a time. No big-bang cutover required.
How does Conduktor handle different Kafka versions?
Conduktor supports Apache Kafka, Confluent Platform, Confluent Cloud, AWS MSK, Azure Event Hubs, and other distributions. Unified interface regardless of version.
Does migration require application changes?
Gateway handles routing. Most applications need no code changes—just updated connection configuration. Some stateful applications may need offset translation.
How do we track migration progress?
Topic catalog shows where topics live. Consumer group monitoring shows active usage. Audit logs track configuration changes across environments.
What about deprecated connectors?
Deploy new connectors alongside old ones. Monitor both through Conduktor. Validate data flow before decommissioning legacy connectors.
Ready to modernize your Kafka platform?
See how retail platform teams use Conduktor to manage hybrid Kafka environments during modernization. Get a demo tailored to your architecture.