Self-Service Kafka with Governance Controls
Empower teams to manage their own data and applications with secure self-service controls, while ensuring compliance with centralized data policies and governance.
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Development teams wait days or weeks for simple changes. Topic creation, ACL updates, and schema modifications all require tickets and manual approval.
Manual processes introduce security and governance gaps. Without automation, policies are inconsistently applied across teams and clusters.
Heavy reliance on platform teams strains resources. Engineers spend more time on tickets than innovation.
Kafka is mission-critical, but reliance on central teams for approvals and provisioning creates costly delays.
Typical workflow without self-service:
- Developer opens Jira ticket
- Waits for platform team review
- Back-and-forth on naming conventions
- Manual ACL configuration
- Days or weeks before first message
When every change is manual:
- Naming conventions drift over time
- ACLs become inconsistent
- No audit trail of who changed what
- Compliance reviews require manual evidence gathering
Platform teams become the bottleneck for every Kafka operation.
The result:
- Burnt-out platform engineers
- Slow time-to-market for product teams
- Pressure to build custom self-service solutions
Enable Developer Autonomy
Teams provision and manage Kafka resources independently within defined guardrails
Scale Confidently
Proactive monitoring and enforcement of best practices across all clusters
Enforce Security & Governance
Automated policies ensure compliance at every step without manual intervention
Align Tech, Teams, & Processes
Balance security with agility through configurable approval workflows
Integrate Seamlessly
GitOps, APIs, and RBAC support for smooth integration with existing workflows
Reduce Onboarding Time
New teams go from zero to productive in hours instead of weeks
Policy Controls
Set guardrails to keep topics consistent and cost-efficient. Enforce naming conventions, quotas, and standards automatically.
Access Request Workflow
Enable secure self-service with automated approvals. Teams request access, policies apply instantly, platform leaders stay in control.
Application Catalog
Platform team declares applications and rights, designates ownership. Application teams manage resources without involving platform.
Schema Governance
Enforce schema standards at the source. Prevent breaking changes before they reach production.
Full Visibility
Track usage, monitor compliance, and audit all changes from a single dashboard.
GitOps Integration
Manage Kafka resources as code. Version control, review, and deploy through your existing CI/CD pipeline.
How Self-Service Works
A simple four-step process to enable governed autonomy.
Central platform team sets security, governance, and resource policies that apply automatically
Platform team declares applications and their rights, designates ownership to responsible teams
Application teams provision and manage Kafka resources, grant permissions to collaborators—without involving platform team
Track usage patterns and adjust workflows dynamically based on real-time insights
Read more customer stories
Frequently Asked Questions
What is self-service Kafka?
Self-service Kafka allows development teams to provision topics, manage ACLs, and configure resources without waiting for platform team tickets. Conduktor provides guardrails so teams move fast while staying compliant.
How do I prevent teams from creating inconsistent resources?
Conduktor's policy controls enforce naming conventions, partition limits, retention settings, and other standards automatically. Teams can only create resources that comply with your defined policies.
Can I still require approvals for sensitive operations?
Yes. Conduktor supports configurable approval workflows. You can require manual approval for production changes while allowing self-service for development environments.
Does this replace our existing Kafka management?
Conduktor adds a governance layer on top of your existing Kafka infrastructure. It works with any Kafka distribution—Confluent, Amazon MSK, or self-managed.
How does this integrate with GitOps?
Conduktor supports managing Kafka resources as code through APIs. Define topics, ACLs, and schemas in Git, and deploy through your CI/CD pipeline with policy validation at every step.
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.