Platform Governance & FinOps for Critical Kafka

Cost allocation, chargeback, and compliance without spreadsheets. FinOps visibility, encryption coverage, and data quality enforcement built for platform and finance teams.

Platform Governance & FinOps for Critical Kafka

Trusted by platform teams at

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

Rising Kafka and vendor costs with no FinOps view per team, product, or tenant. Nobody can say which team drives which share of the cost.

PII and sensitive data spread across topics. Encryption and masking policies applied inconsistently.

Data quality checks happen in the DWH, far from original streams. Bad data discovered too late to fix cheaply.

Finance asks questions you can't answer:

  • Which team is using the most storage?
  • What's driving the Confluent Cloud bill?
  • Are those connectors still needed?
  • Growth without accountability

Compliance risks accumulate:

  • Which topics contain PII?
  • Is that field encrypted?
  • Who has access to what?
  • Scripts and spreadsheets for auditors

Downstream damage accumulates:

  • Stale data in dashboards
  • Breaking schema changes shipped to prod
  • No ownership of data contracts
  • Analysts lose trust, AI models degrade

Usage Metering

Per-topic, per-tenant, per-service-account tracking. Attribute costs to cost centers, products, or business units

FinOps Integration

Export usage data via API. Build chargeback models and cost allocation reports

PII Detection

Tag sensitive fields in schemas with PII and GDPR markers. Apply encryption policies based on tags

Field-Level Encryption

Encrypt, mask, or tokenize at write time via Conduktor Gateway. Integrates with Vault, AWS KMS, Azure Key Vault, GCP KMS

Stream Quality Gates

Enforce schema compliance and CEL-based validation rules at produce time. Block bad data before it propagates

Audit-Ready Logs

Immutable records of access, configuration, and policy changes. Export to SIEM or archive for compliance

Ownership Model

Topics and service accounts tied to owners. Clear accountability per business unit

Quota Management

Quotas and limits per tenant, team, or environment. Prevent runaway workloads

Topic Lifecycle

Track topic activity and identify inactive topics. See last activity timestamps per topic

Encryption Coverage

Track which fields are encrypted via schema metadata and Gateway policy enforcement

Schema Validation

Contracts validated at deployment and at write. Breaking changes blocked

Stream Quality

Schema validation and custom CEL rules enforced per topic. Non-compliant messages blocked or routed to DLQ

How Platform Governance Works

From cost mystery to transparent utility with measurable results.

1
Cost Transparency

Know which team, product, or cost center drives each dollar of Kafka spend. Answer finance questions in minutes, not weeks

2
Resource Control

Prevent runaway workloads before they impact production. Quotas and alerts stop cost surprises before they hit the bill

3
Data Protection

PII encrypted or masked before it lands in Kafka via Gateway policy enforcement. No reliance on application-level compliance

4
Quality Assurance

Validate schema compliance and custom rules at produce time, before bad data reaches analytics or ML pipelines

FinOps & Chargeback

Build cost views per plant, team, and product. Allocate Confluent Cloud and infrastructure costs to business units

Sensitive Data Protection

Encrypt PII in HR, customer, and order events. Mask trade and price data for non-privileged consumers

Topic Catalog Cleanup

Identify unused topics and connectors. Fix naming conventions and assign ownership

Compliance Reporting

Pull ready-made reports on access, retention, and encryption for audits. No more spreadsheet scrambles

Stream Data Quality

Validate schemas and custom rules on telemetry streams. Block malformed messages on order and supply chain feeds

Cost Optimization

Identify over-sized topics, unnecessary replication, and idle connectors. Reclaim wasted spend

Need to share Kafka data with external partners? Governance policies extend to partner zones. See how Conduktor Gateway enforces encryption and data quality at the wire level.

Read more customer stories

Frequently Asked Questions

How do I implement Kafka cost allocation?

Metering tracks usage per topic, partition, and service account. You label these with cost centers, teams, or programs. Export to your FinOps tools or billing system.

How does Conduktor handle PII in Kafka?

Tag sensitive fields in schemas with PII and GDPR markers. Conduktor applies encryption and masking policies based on these tags automatically.

What KMS systems does Conduktor support for Kafka encryption?

HashiCorp Vault, AWS KMS, Azure Key Vault, Google Cloud KMS, and custom integrations. Keys managed centrally with automated rotation.

How do Kafka data quality checks work?

Define validation rules per topic using CEL expressions or JSON Schema. Checks run in the Gateway layer at produce time. Non-compliant messages can be blocked or routed to a dead-letter topic.

Does Kafka governance work across multiple vendors?

Yes. Conduktor provides one governance layer across Confluent Cloud, AWS MSK, Azure Event Hubs, and self-managed clusters.

Ready to govern your Kafka platform?

See how Conduktor delivers FinOps, security, and data quality for critical Kafka infrastructure. Our team can help you build a governance strategy.

Book a demo