ERPNext's native "Webhook" DocType fires one HTTP request per document event, with a fixed JSON body and no built-in batching, throttling, or failure recovery. That is fine for a handful of notifications, but it falls apart the moment you need to sync thousands of Sales Invoices to a data lake, push a nightly report to a microservice, or guarantee that a Stock Ledger Entry event reaches a downstream consumer even if the endpoint is briefly down. Integration engineers end up hand-rolling hooks.py doc events, frappe.enqueue background jobs, and ad-hoc retry logic that nobody documents and nobody trusts. When the endpoint returns a 503 at 2am, events are silently lost and no one notices until the numbers in the warehouse don't reconcile.

ECOSIRE builds a proper Frappe app that turns webhook delivery into a reliable, observable streaming pipeline. At its core is an Event Stream DocType where you configure a source (a DocType plus the doc events you care about — after_insert, on_submit, on_update, on_cancel), a filter expression, a destination endpoint, and a delivery mode. We register the corresponding doc_events in hooks.py so every change enqueues a delivery job on the Frappe background workers rather than blocking the user's save. A separate Batch Webhook mode accumulates matching records and flushes them as a single array payload on a size threshold or a scheduler tick, so a bulk import of 5,000 rows becomes 50 batched POSTs instead of 5,000 stampeding requests.

Payloads are shaped with Jinja templates evaluated in the Frappe sandbox, so you control the exact schema each consumer expects — flatten child tables, rename fields, inject computed values, or emit newline-delimited JSON for a Kafka/Kinesis-style ingest. A Report Webhook Schedule DocType lets you register any Query Report or Report Builder report against a scheduler_events cron entry and ships the rendered result set as a webhook on your cadence. Every delivery is signed (HMAC-SHA256 over the raw body, verifiable at the consumer), logged in a Webhook Delivery Log DocType with request/response/status, and retried with exponential backoff; exhausted attempts land in a Dead Letter Queue DocType that an operator can inspect, edit, and manually replay. A whitelisted method (@frappe.whitelist()) exposes replay and health-check endpoints over the Frappe REST API, and all DocTypes ship with role-based permissions so only your integration role can edit stream config.

Because this is build-to-order, nothing ships blind. We start with a scoping call to map your source DocTypes, downstream contracts, payload schemas, auth model, and throughput expectations, then build the app against Frappe/ERPNext v15 or v16 to match your bench. You get the installable source, a staging install for UAT, and a git repository handover — not a black box. Typical delivery is one working week from confirmed scope, and we support it after go-live.