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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/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 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.

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