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Webhook and Scheduled Polling Fallback Architecture - arXiv
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1Introduction “The CRM system requires accurate, up-to-date status on each message for agent visibility, reporting, and operational monitoring.” Webhook delivery is inherently unreliable. The receiving endpoint may be temporarily unavailable. Network timeouts may cause the provider to exhaust its retry policy before the endpoint recovers. A managed-platform REST endpoint is typically subject to concurrent-request and execution-time limits [2], and may reject or drop requests under load. In each of these failure modes, the status callback is lost and the record in the CRM retains its last-known status – typically an intermediate “sent” state – indefinitely.
1Introduction “The provider communicates these status transitions to the CRM via HTTP POST callbacks – webhooks – to a registered endpoint.” Webhook delivery is inherently unreliable. The receiving endpoint may be temporarily unavailable. Network timeouts may cause the provider to exhaust its retry policy before the endpoint recovers. A managed-platform REST endpoint is typically subject to concurrent-request and execution-time limits [2], and may reject or drop requests under load. In each of these failure modes, the status callback is lost and the record in the CRM retains its last-known status – typically an intermediate “sent” state – indefinitely.
Abstract “Outbound enterprise messaging pipelines face a fundamental reliability challenge: delivery status callbacks (webhooks) from messaging providers are subject to network failures, endpoint unavailability, and provider-side retry exhaustion, resulting in stale status records in the CRM system of record.” Keywords: Webhook Reliability, Enterprise Messaging, Platform-as-a-Service, Event-Driven Architecture, Idempotency, Scheduled Jobs, Status Reconciliation, Multi-Tenancy.
Abstract “The primary path uses a real-time webhook received by a REST endpoint, which publishes an internal event for asynchronous record update.” Keywords: Webhook Reliability, Enterprise Messaging, Platform-as-a-Service, Event-Driven Architecture, Idempotency, Scheduled Jobs, Status Reconciliation, Multi-Tenancy.
Abstract “The fallback path uses a configurable scheduled polling job that detects records still in transitional status after a configurable interval and queries the provider’s status API directly to reconcile state.” Keywords: Webhook Reliability, Enterprise Messaging, Platform-as-a-Service, Event-Driven Architecture, Idempotency, Scheduled Jobs, Status Reconciliation, Multi-Tenancy.
Abstract “A naive single-path architecture that relies exclusively on webhooks leaves a population of messages permanently in an intermediate state when callbacks fail.” Keywords: Webhook Reliability, Enterprise Messaging, Platform-as-a-Service, Event-Driven Architecture, Idempotency, Scheduled Jobs, Status Reconciliation, Multi-Tenancy.
4. Polling Scheduler – a periodic job implementing the fallback polling path, which detects sync failures and triggers direct provider-API reconciliation. “Monitoring Job – a periodic job that detects prolonged sync failures and alerts administrators.” 3Primary Path: Webhook to Event Channel to Record Upsert
Abstract “The fallback path uses a configurable scheduled polling job that detects records still in transitional status after a configurable interval and queries the provider’s status API directly to reconcile state.” Keywords: Webhook Reliability, Enterprise Messaging, Platform-as-a-Service, Event-Driven Architecture, Idempotency, Scheduled Jobs, Status Reconciliation, Multi-Tenancy.
Abstract “Outbound enterprise messaging pipelines face a fundamental reliability challenge: delivery status callbacks (webhooks) from messaging providers are subject to network failures, endpoint unavailability, and provider-side retry exhaustion, resulting in stale status records in the CRM system of record.” Keywords: Webhook Reliability, Enterprise Messaging, Platform-as-a-Service, Event-Driven Architecture, Idempotency, Scheduled Jobs, Status Reconciliation, Multi-Tenancy.
1Introduction “The CRM system requires accurate, up-to-date status on each message for agent visibility, reporting, and operational monitoring.” Webhook delivery is inherently unreliable. The receiving endpoint may be temporarily unavailable. Network timeouts may cause the provider to exhaust its retry policy before the endpoint recovers. A managed-platform REST endpoint is typically subject to concurrent-request and execution-time limits [2], and may reject or drop requests under load. In each of these failure modes, the status callback is lost and the record in the CRM retains its last-known status – typically an intermediate “sent” state – indefinitely.
1Introduction “The provider communicates these status transitions to the CRM via HTTP POST callbacks – webhooks – to a registered endpoint.” Webhook delivery is inherently unreliable. The receiving endpoint may be temporarily unavailable. Network timeouts may cause the provider to exhaust its retry policy before the endpoint recovers. A managed-platform REST endpoint is typically subject to concurrent-request and execution-time limits [2], and may reject or drop requests under load. In each of these failure modes, the status callback is lost and the record in the CRM retains its last-known status – typically an intermediate “sent” state – indefinitely.
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