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Keep Your Events Clean, Typed, and Safe—by Design

With Keymate's built-in schema validation layer, every event is checked against its expected schema before delivery. Format mismatches, missing fields, or type errors are caught and quarantined—ensuring no bad payload escapes into Kafka or external systems.

Keep Your Events Clean, Typed, and Safe—by Design

Your Last Line of Defense Against Broken Event Contracts

Whether you publish events in JSON or Protobuf, schema integrity is critical. Keymate ensures: All outbound events are validated against versioned schemas. Support for both Avro and Protobuf formats. Dynamic schema resolution based on event type, topic, or subscriber. JSON-to-Protobuf transformation with schema coercion. Validation errors are captured, logged, and quarantined—never published blindly. Schema registry is integrated with the Event Hub transformation pipeline. Per-tenant schema isolation to ensure clean boundaries across systems. This allows you to run safe, contract-enforced event flows even in complex, multi-consumer environments.

Schema Registry Validation Pipeline

Built-in schema validation layer that ensures every event is checked against expected schemas before delivery, with quarantine capabilities for invalid payloads.

Example: Validate event payloads before they hit the wire

Key Components:

Built-in Schema Registry
Multi-Format Support
Dynamic Schema Resolution
Error Containment
Tenant Isolation

What Makes It Unique

Built-In Schema Registry

JSON, Avro, and Protobuf schemas stored and versioned internally

Validation at Publish Time

All events are validated before being emitted to Kafka

Subscriber-Specific Schema Matching

Each consumer format and schema version is independently validated

Error Containment & Logging

Invalid payloads are quarantined and never published downstream

Schema-Aware Transformation

JSON→Proto or Proto→JSON transformation respects type definitions

Multi-Tenant Isolation

Each tenant has isolated schema sets and validation rules

Schema Version Diffing

View and compare schema changes over time—track impacts clearly

Frequently Asked Questions

Currently JSON, Protobuf, and Avro are fully supported with schema enforcement.
Yes, when configured. Invalid events are never published to Kafka or external queues.
In Keymate built-in schema registry—versioned, isolated by tenant, and fully observable.
The event is placed in a quarantine queue, the failure is logged, and no external delivery occurs.
Yes. Admins can inspect schema history and diffs via the Admin Console UI.

How to Use This Feature

Follow these steps to enable schema validation for your events.

Implementation Steps

1

Register your JSON/Avro/Protobuf schemas via Admin Console or API

2

Associate schemas with topics, event types, or subscribers

3

Enable schema validation in the Event Hub settings

4

As events are transformed and routed, Keymate will validate before delivery

5

Invalid events are automatically quarantined and traced

6

Monitor schema compliance and errors in the observability dashboard

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