Axual Governance gives you visibility and control over ownership, schema changes, and access across every Kafka cluster.
.svg)
.avif){kind=logo}
Schema registry governs your data before it causes a problem
.svg)
Self service topic and application management helps teams move faster.
.svg)
Audit trails and configurable policies help compliance evolve without architectural changes.
.svg)
Tenant, environment, and instance separation give teams their own space without losing centralized control.
.svg)
A quick reference for everything above, capability by capability.
Meet regulatory requirements with audit trails, access controls, and data lineage.
Keep topics organized, enforce schema compatibility, and manage access as teams grow.
Update policies, workflows, and controls through configuration without disrupting data flows.
Discover why Rabobank, Eneco and ASN Bank depend on Axual to keep mission-critical operations compliant and running.
The control plane sits as a separate layer from your Kafka infrastructure — Confluent Cloud, Amazon MSK, or self-managed. Governance actions like creating topics or updating schemas never impact message flow, so producers and consumers keep processing while you address compliance gaps.
Your current topic naming conventions, ACLs, and operational procedures stay intact. Axual's governance layer wraps around existing deployments without migration or disruption, giving you centralized control across all clusters through a single pane of glass.
Axual Governance adds self-service, approval workflows, and audit history to existing Kafka clusters, so you can improve governance first and decide about migration later.
RBAC maps to your organizational structure through groups and roles. Start with basic roles for a pilot team of ten; as you scale to hundreds of users, the same model extends through group inheritance and delegated administration.
Yes. The Axual Terraform provider treats governance as code — topics, schemas, applications, and access controls become declarative resources your existing CI/CD pipelines deploy, review, and roll back like any other infrastructure.
Every governance action creates an immutable audit trail. Schema versioning tracks data-structure evolution for lineage requirements, and role-based access satisfies segregation of duties. When regulations change, you update policy through configuration, not architecture.
Less than managing governance manually across multiple Kafka clusters. The control plane runs on Kubernetes with horizontal scaling and automated failover — your Kafka clusters keep operating normally during governance maintenance.
Axual enforces schema compatibility rules before changes reach Kafka. Incompatible changes fail at registration, not when a consumer breaks in production, and every schema version is tracked with full lineage.
Yes — via OIDC or SAML, whether that's Active Directory, Azure AD, or another enterprise IdP. Users authenticate with existing credentials and inherit group memberships; service accounts use JWT tokens for automation, and sensitive credentials stay in HashiCorp Vault.
