Enterprise automation fails at the edges: timeouts, partial failures and flaky upstream systems create manual retries and SLA risk.
- • Incidents from transient failures
- • Manual reprocessing and unclear ownership
- • Limited traceability under pressure
A Kafka-based self-healing pipeline with DLQ, retries and recovery workflows—plus monitoring—so failures are isolated, reprocessed deterministically, and observable.
- • DLQ + isolation of poison messages
- • Deterministic retry strategy & recovery
- • Monitoring signals to keep SLAs measurable
Decouple producers and consumers with Kafka topics. Scale independently and keep processing resilient under load.
Route poison messages to DLQ for controlled handling, traceability and auditability.
Automated retries and recovery services for deterministic reprocessing and idempotent handling.
Health checks, lag monitoring and alerts so teams can measure SLOs and respond early—before SLA breaches.
Architecture
Third-party systems submit requests via an API gateway. Kafka topics orchestrate account creation with monitoring, DLQ handling and recovery services. Downstream integrations (e-signature, email) run reliably and asynchronously.
CRM/HR/ERP requests via API Gateway.
Topics, DLQ, monitoring and recovery orchestration.
Provisioned accounts + DocuSign + email notifications.
Need resilient automation with strict SLAs?
We tailor Kafka topology, retry strategy, DLQ handling and monitoring to your constraints—aligned with enterprise controls.
Response within 24h · NDA available · EU-based delivery