---
title: "Replacing Polling with Event-Driven Integrations (Using Virtual Webhooks)"
img: https://s3.us-east-2.amazonaws.com/unified-article-images/replacing_polling_with_event_driven_integrations_using_virtual_webhooks-icon.png
date: 2025-06-08T00:00:00.000Z
tag: Product
description: "Then as integrations grow, polling becomes infrastructure, schedulers, retries, state tracking, and rate-limit management spread across every integration."
url: "https://unified.to/blog/replacing_polling_with_event_driven_integrations_using_virtual_webhooks"
---

# Replacing Polling with Event-Driven Integrations (Using Virtual Webhooks)
------
_June 8, 2025_

Most teams don't choose polling long-term.


They start with it.


Then as integrations grow, polling becomes infrastructure: schedulers, retries, state tracking, and rate-limit management spread across every integration.


At that point, the question changes:


**How do we remove polling from the application layer without losing coverage?**


This is where event-driven models—and specifically [virtual [webhooks](/blog/replacing_polling_with_unified_webhooks_and_virtual_streams)](/blog/unlock_real_time_data_with_virtual_webhooks)—come in.

> For a breakdown of polling vs webhooks vs virtual webhooks at a systems level, see: **Polling vs Webhooks: When to Use One Over the Other**

## Why teams move away from polling


Polling works early because it is simple and universal.


It breaks as systems scale.


### Infrastructure sprawl


Every integration requires:

- scheduled jobs
- checkpoint tracking
- retry and backoff logic
- [pagination](/docs/reference/pagination) handling

This logic is duplicated across:

- objects
- customers
- integrations

### Inefficient API usage

- Most polling requests return no changes
- API limits are consumed regardless
- Scaling customers multiplies request volume

### Increasing latency

- Data is only as fresh as the polling interval
- Reducing latency requires increasing request volume

### Hard-to-debug failures

- Missed windows create silent data gaps
- Partial failures are difficult to detect
- State becomes fragmented across jobs

Polling does not fail at once. It degrades as complexity grows.


## The shift to event-driven delivery


Event-driven systems remove continuous checking.


Instead of asking for changes, your system reacts to them.


### Native webhooks (when available)

- The source system emits events
- Your application processes them

This works well, but only when the API supports it.


Most APIs don't provide consistent webhook coverage.


## Virtual webhooks: removing polling from your app


Virtual webhooks shift polling and change detection into the integration layer.


Instead of your system managing jobs:

- the integration layer polls the source API
- detects changes
- emits webhook events

From your application's perspective:

- you subscribe once
- you receive events
- you do not manage polling infrastructure
> Polling still exists—it is centralized instead of distributed across your system.

This is different from sync-based systems, which store data and emit events after batch updates.


## What changes in your architecture


Moving from polling to event-driven delivery removes entire categories of infrastructure.


### Before (polling)

- cron jobs per integration
- checkpoint storage
- pagination + deduplication logic
- retry and backoff systems

### After (event-driven)

- webhook subscription
- event handler
- idempotent processing

### Impact across the system


**Less infrastructure**

- no schedulers
- no polling state
- no distributed retry logic

**Lower API usage**

- no empty polling requests
- usage tied to actual data changes

**Faster updates**

- latency bounded by detection interval, not polling cadence

**Simpler integration model**

- one event stream instead of multiple polling pipelines

## Developer experience shift


Polling requires building and maintaining infrastructure.


Event-driven systems shift that responsibility into the integration layer.


With virtual webhooks:

- change detection is standardized
- retries are handled centrally
- payloads follow a consistent schema

Instead of writing polling logic for every integration, teams consume events through a single interface.


## When this transition makes sense


Teams typically move away from polling when:

- integrations grow across multiple providers
- real-time or near real-time features are required
- polling infrastructure becomes difficult to maintain
- API rate limits become a constraint

Virtual webhooks provide a path to event-driven systems without depending on native webhook support.


## Key takeaway


Polling is not just a data retrieval strategy. It is an infrastructure commitment.


Replacing polling with event-driven delivery:

- removes distributed state
- reduces API usage
- simplifies system design

Virtual webhooks make that transition possible across APIs that do not provide native events.