Kafka Translation Layer & DLQ
Stop writing custom backend microservices just to bridge HTTP APIs to event streams. AegisMesh natively translates protocols, enforces schema compatibility, and manages failed messages directly at the edge.
1. HTTP to Kafka Bridging
Connecting legacy web clients to modern event streams is a challenge because older applications expect instant HTTP responses. AegisMesh acts as a smart synchronous-to-asynchronous bridge:
- Synchronous Facade: Accepts standard REST or GraphQL requests and forwards them to Kafka or RabbitMQ topics.
- State Acknowledgment: Efficiently waits for the Kafka stream to process the event before returning an HTTP 200 response to the client.
- Zero Data Loss: If backend brokers go offline, the gateway temporarily spools in-flight messages to secure local storage and replays them upon recovery.
2. On-the-Fly Schema Awareness
Unvalidated data can crash downstream microservices. AegisMesh features native integration with Apicurio Schema Registry to guarantee payload integrity.
- Format Translation: Automatically converts incoming JSON payloads into highly compressed Avro or Protobuf binary formats.
- Strict Validation: Rejects payloads that violate the registered topic schema before they consume broker network bandwidth, preventing data corruption.
3. Dead Letter Queue (DLQ) Orchestration
Bad data easily blocks data pipelines. AegisMesh automates the handling of "poison pills" so your streams keep flowing.
- Automated Routing: Schematically invalid messages or failed HTTP webhooks are instantly diverted to a persistent Dead Letter Queue (DLQ).
- API Inspection: Teams can query failed payloads using the Omni Governance API to identify the exact cause of failure (with dynamic PII masking).
- Synchronized Replay: Safely replay corrected payloads back into the live data-plane without writing manual recovery scripts.