Kafka Self-Service & Data Products for Financial Services
Turn Kafka into a governed data product platform. Expose, secure, and manage Kafka topics as reusable data products, accelerating developer autonomy while maintaining full auditability and control.
Trusted by platform teams at
Different business units manage isolated clusters and topics without shared visibility. Data exists but isn't discoverable or reusable.
ACLs, schemas, and connectors are manually managed. Platform teams own every change while developers wait in ticket queues.
Shadow pipelines bypass GRC oversight. Missing lineage, consumer lag insights, and visibility into who consumes what.
Kafka is everywhere, but the data within it is not productized.
Typical state:
- No ownership model for data products
- Unclear who maintains schema versions
- No single source of truth for metadata
- Data exists but can't be found
Every Kafka operation requires a ticket:
- Topic creation: 3 days
- ACL update: 2 days
- Schema change: 1 week
- Developers route around governance
Risk and Compliance require strict oversight but lack:
- Unified audit trails
- Lineage tracking
- Access evidence for regulators
- Kafka is a compliance blind spot
Automated Provisioning
Policy-driven templates for topics, ACLs, and connectors. Developers self-serve within guardrails
Data Product Catalog
Register topics as reusable data products with ownership, lineage, and access contracts
Identity Integration
Azure AD, Okta, LDAP, or IAM. Group-based access and least-privilege roles enforced automatically
Consistent RBAC
Same governance across Confluent, MSK, and self-managed. One policy, every cluster
Terraform & GitOps
Version-controlled, auditable provisioning through your existing CI/CD pipeline
GRC Visibility
Policy violations, encryption coverage, and user activity. All in one dashboard for compliance teams
Policy Controls
Enforce naming conventions, partition limits, retention settings, and schema standards automatically
Approval Workflows
Embed approvals into CI/CD or ServiceNow. Manual review where needed, automation everywhere else
Ownership Model
Assign data product owners. Clear accountability for schema versions, access approvals, and data quality
Lineage Tracking
See producers, consumers, and compliance status per data product. Know who uses what and why
Operational Efficiency
Eliminate tickets through automated provisioning and lifecycle cleanup. From weeks to minutes
Developer Portal
Self-service UI for topic discovery, access requests, and resource management
How Data Products Work
From request to production in minutes, not weeks.
Platform team sets policies: naming, schemas, retention, access. Guardrails apply automatically
Topics become discoverable products with owners, schemas, and access metadata
Developers request access, provision resources, and manage schemas within policy bounds
Every change logged. Lineage tracked. Compliance evidence generated automatically
Data Product Enablement
Publish Kafka topics as certified products with schema contracts, ownership, and access controls
Developer Self-Service
Engineers request and manage topics, ACLs, and connectors with built-in approvals and audit
Hybrid Cloud Governance
Synchronize identity and schema validation across Confluent, MSK, and self-managed clusters
Compliance Automation
Generate auditable logs of every access, schema update, and data product change for regulators
Data Science Access
ML and analytics teams subscribe to curated, masked Kafka data products safely
Regulatory Sandboxes
Reuse governed data products in test environments without violating masking or retention policies
Read more customer stories
Frequently Asked Questions
What is a Kafka data product?
A data product is a Kafka topic packaged with ownership, schema, access metadata, and quality contracts. Teams discover and consume data products without understanding the underlying infrastructure.
How do you prevent teams from creating inconsistent resources?
Policy controls enforce naming conventions, partition limits, retention settings, and schema standards automatically. Teams can only create resources that comply with defined policies.
Can I still require approvals for production changes?
Yes. Conduktor supports configurable approval workflows. Require manual approval for production while allowing self-service for development environments.
How does this integrate with existing identity providers?
Conduktor integrates with Azure AD, Okta, LDAP, and IAM providers. Group memberships map to Kafka access. No separate credential management.
Does this work with multiple Kafka distributions?
Yes. Same governance layer across Confluent Cloud, AWS MSK, and self-managed Kafka. One policy applied everywhere.
Ready for self-service Kafka?
See how Conduktor enables developer autonomy without sacrificing governance. Our team can help you design the right self-service strategy for your organization.