Queuey vs Building Your Own Webhook Delivery System

Most webhook delivery systems start with less code than expected.

POST event
→ call customer endpoint
→ if failed, retry

For a first integration, that may be exactly the right architecture.

The build-vs-buy decision becomes interesting later, when "retry" turns into a system your team has to operate.

You add a queue. Then backoff. Then signing. Then idempotency. Then a DLQ. Then replay. Then rate limits. Then endpoint health. Then alerts. Then a dashboard. Then someone asks why the same 422 has been retried 47 times.

Queuey exists for the point where event delivery stops being an HTTP helper and becomes infrastructure.

But building it yourself can still be the better decision.

The short version

The right question is not:

Can we build this?

Of course you can.

The right question is:

Is this where we want our reliability engineering to live?

Version 1 is easy

A competent engineering team can build basic webhook sending quickly.

The first version needs:

1. Read an event.
2. Build an HTTP request.
3. Authenticate or sign it.
4. Send it.
5. Retry if it fails.

There is no reason to buy specialized infrastructure if that solves the real requirement.

A company with ten predictable events per day and one controlled receiver should probably not create a platform project around webhook delivery.

The problem is that successful integrations tend to create more destinations, more traffic and more failure modes.

Version 2 becomes infrastructure

Production delivery usually accumulates requirements like:

• durable event storage
• queues and workers
• configurable retry schedules
• exponential backoff
• Retry-After support
• destination-level concurrency limits
• per-customer rate limits
• HMAC signing and secret rotation
• idempotency and deduplication
• timeout handling
• endpoint disablement
• circuit breaking
• dead-letter storage
• selective replay
• delivery logs
• metrics and alerts
• tenant isolation
• audit trails
• dashboards or support tooling

None of these is individually exotic.

The cost comes from making all of them correct at the same time — and then keeping them correct as the product changes.

Version 3 is where failure meaning appears

Reliable transport is only the first layer.

Eventually the team discovers that failures cannot all follow the same recovery path.

503 may mean wait and retry.

429 means respect the receiver's pace.

401 / 403 often mean someone must repair access.

422 may mean the receiver is healthy but this payload will never be accepted unchanged.

At this point, a generic retry scheduler is no longer enough.

You need operational semantics.

Someone has to decide:

• which failures are transient
• which are permanent
• which are destination-wide
• which are event-specific
• when a destination is unhealthy
• when retries should stop
• when new traffic should be held
• who needs to act
• what is safe to replay later

That logic can absolutely be built internally.

It is also the part most likely to become fragmented across services, runbooks and support knowledge.

Queuey calls this layer Failure Intelligence.

The hidden product is the operator experience

An internal webhook sender can be technically reliable while still being painful to operate.

Imagine a support ticket:

"Customer X says they haven't received invoices since yesterday."

Can your team answer, quickly:

• Which events were affected?
• What response did the destination return?
• Did the failure affect every event or only one schema/type?
• What retries happened?
• Did the destination become unhealthy?
• Were events held or discarded?
• Has the underlying problem changed?
• Can the failed set be replayed safely?
• Why did the system choose its behavior?

If the answer requires querying logs in three systems and asking the original developer what the retry worker does, the delivery system has an operator-product gap.

Queuey's value is not only sending the request.

It is packaging the delivery lifecycle into something an operator can reason about.

Build is better when delivery is strategic IP

There are good reasons to own the system.

Build it yourself when:

• delivery behavior is a core product differentiator
• you have unusual protocols or guarantees that generic platforms cannot express
• scale or latency requirements are highly specialized
• regulation requires infrastructure choices a managed platform cannot satisfy
• your team already has mature shared delivery infrastructure
• operational control is worth the engineering investment

A payments network, hyperscale platform or infrastructure company may rationally decide that delivery belongs in its core technology stack.

"Buy" should never be treated as automatically more sophisticated than "build."

Buy is better when the work is repeated but not differentiating

A specialized platform makes more sense when multiple teams are independently rebuilding the same primitives.

Warning signs include:

• every service has a different retry implementation
• support cannot see delivery state without engineering help
• DLQs exist but replay is manual or scary
• rate-limit behavior differs per integration
• destination outages create retry storms
• authentication failures keep retrying long after human action is required
• incident knowledge lives in people's heads
• new integrations require rebuilding operational tooling

At that point, the company is already paying for a webhook delivery platform.

It is simply paying for an internal one.

The real cost model

The relevant comparison is not:

Queuey subscription vs zero dollars of code

It is:

Queuey subscription

vs

build + infrastructure + on-call + maintenance + support tooling + future changes

Queuey currently offers:

• Free: €0/month, 5,000 events included
• Team: €49/month, 100,000 events included
• Growth: €249/month, 1 million events included
• Enterprise: custom

For an early product with simple requirements, internal code can easily be cheaper.

As delivery becomes shared infrastructure, engineering opportunity cost tends to dominate server cost.

The break-even point is organizational, not just event volume.

A practical decision test

You probably do not need Queuey yet if all of these are true:

• one or very few destinations
• low event volume
• receiver owned by your team
• simple retry policy
• failures are rare and easy to diagnose
• replay is not operationally important

You should at least evaluate a delivery platform if several of these are true:

• many customer or partner destinations
• business-critical events
• receiver outages you cannot control
• different handling required for 401, 422, 429, 503
• support or operations needs delivery visibility
• rate limiting and destination protection matter
• safe replay is a regular requirement
• multiple teams are implementing the same reliability logic

The verdict

Building webhook delivery yourself is not a mistake.

Building it by accident, one failure mode at a time, is where the cost hides.

Start simple when simple is enough.

But recognize when the code has stopped being an integration helper and become a platform your team now has to operate forever.

Building the POST request is easy.

Building the recovery system around it is the real project.

Queuey is the buy decision for that second project.

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Sources checked August 19, 2026: Queuey product · Queuey pricing · Webhook Relay build-vs-gateway overview · Convoy · Svix

Related: Queuey vs the alternatives · Queuey vs Kafka · Queuey vs Temporal