The Kafka Operations Platform

Unify Kafka streaming with a proxy layer. Ship faster with developer tooling, self-service, and built-in governance.

Trusted by platform engineers at

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

From Topics to Data Products

Kafka is the heartbeat of your business and your company already streams a lot of data. But this data has value when it's used quickly. Most teams find it hard to turn all these topics into something valuable.

From raw Kafka topics to trusted data products

You don't lack data. You lack a clear way to turn it into something your teams can trust.

Infrastructure Augmentation

Extend Kafka with our Kafka Proxy as a control layer to absorb complexity of the infrastructure.

Standardize identity across clusters and apps without rewriting client code.

Move workloads across clusters with no client changes and minimal disruption.

Encrypt streams in motion without changing producers or consumers.

Enforce retries, backoff, and limits consistently across the fleet.

Identify waste, idle topics, oversized partitions, and patterns that inflate your Kafka bill.

Isolate partner traffic without spinning up dedicated Kafka clusters.

Lower infrastructure spendReduce Kafka cluster count by avoiding duplication for isolation and partners.
Safer ecosystem expansionExpose Kafka to new teams and partners without increasing network risk.
Shorter migration cyclesMove workloads between clusters without long coordination or app rewrites.
Faster platform changesApply routing, security, and infra changes in days instead of quarters.

Developer Tooling

Give developers a stable, guided way to build and run streaming apps at scale.

Give teams one place to understand, operate, and troubleshoot Kafka safely with RBAC.

Bring new producers and consumers live faster with fewer tickets and meetings.

Enforce standards for partitions, replication, naming, configs, and role-based access.

Guide teams through steps with clear context on producers and consumers.

Show hot topics, fan-out, and dead streams so teams fix waste.

Improved developer satisfactionLower friction and frustration when building event-driven systems.
Faster time to productionEnable teams to deliver more features with fewer Kafka specialists.
Reduced support dependencyCut platform tickets by standardizing how teams access and operate Kafka resources.
Earlier issue detectionCatch bad patterns before they reach production traffic.

Let Teams Self-Serve

Make it easy for teams to build, publish, and secure their streaming data inside clear guardrails.

Create topics, ACLs, schemas, connectors, and products inside safe boundaries.

Teams manage their own data contracts.

For sensitive actions, mapped to owners, domains, and policies.

Encryption, masking, RBAC, naming rules, and retention policies apply automatically.

Faster DevelopmentFewer tickets to platform teams—developers ship without waiting for approvals.
Safe AutonomyStrong guardrails prevent risky patterns from ever reaching production.
Lower Operational LoadPlatform and security teams spend less time on repetitive, manual tasks.
Consistent GovernanceDecentralized teams innovate freely with uniform behavior across all clusters.

Turn Streams Into Data Products

Turn raw topics into reusable products that feed analytics, lakehouses, and AI with confidence.

Define structure, meaning, ownership, and safety rules for each stream.

Expose selected streaming data to partners.

Applied consistently across domains and clusters.

For freshness, quality, SLAs, schema drift, and behavioral anomalies.

Discoverable Data ProductsOwnership, lifecycle, business meaning, and rules travel with data everywhere it flows.
Global Policy EnforcementSame rules apply automatically across every cluster, cloud, and environment.
Built-in Schema IntegrityContracts and quality checks prevent broken pipelines from bad structure.
Trusted Data at ScaleShared platform improves data literacy and powers partner integrations.

Explore How Conduktor Helps Your Industry

Platform teams use Conduktor to streamline Kafka operations and accelerate delivery. Explore our customer stories or dive into the blog.

Bitvavo achieved DORA, MiCA, and GDPR compliance for 1.5M+ users with Conduktor's RBAC, data masking, and audit trails. See how →

Swiss Post scaled Kafka to 800+ users and 5x more applications with governance, RBAC, and self-service. See how →

10x Kafka utilization and 70% faster provisioning with Conduktor and Amazon MSK for IoT smart farming. See how →