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Test cases
Webhook test cases, for when the consumer stops answering
Twenty eight cases covering retry backoff and dead letter stores, one dead consumer degrading the pipeline, payload signing and replay windows, secret rotation, stable event identifiers for deduplication, out of order delivery, endpoint SSRF, emitting before commit and delivery under burst.
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28 worked examples
Deliver an event to a healthy endpoint
TypeFunctionalPriorityHigh- Test data
- A subscribed event triggered against an endpoint returning 200
- Expected result
- Delivered once with the documented payload, headers and signature, and the attempt is recorded with its status code and response time.
Retry a failed delivery with backoff
TypeStatePriorityHigh- Test data
- An endpoint returning 500, then recovering after three attempts
- Expected result
- Retries follow the documented schedule with exponential backoff and jitter, and the event is delivered on recovery rather than abandoned after the first failure.
Distinguish retryable from permanent failures
TypeNegativePriorityHigh- Test data
- Responses of 500, 429, 408, 400 and 410 from the endpoint
- Expected result
- Server errors and rate limits are retried, a permanent client error is not retried indefinitely, and 410 disables the subscription according to policy.
Honour a Retry-After header
TypeBoundaryPriorityMedium- Test data
- A 429 response carrying Retry-After
- Expected result
- Next attempt respects the stated delay rather than the default schedule, so a rate limited consumer is not made worse by the retry policy.
Stop retrying and move to a dead letter store
TypeStatePriorityHigh- Test data
- An endpoint failing continuously past the maximum attempts
- Expected result
- Event lands in a dead letter store that is visible and replayable, rather than being dropped with only a log line to show for it.
Contain the backlog when a consumer is down for hours
TypeBoundaryPriorityHigh- Test data
- A high volume subscription whose endpoint is unreachable for six hours
- Expected result
- Backlog is bounded and does not starve deliveries to healthy subscribers. One dead consumer must not degrade the pipeline for everyone else.
Disable a persistently failing subscription
TypeStatePriorityHigh- Test data
- An endpoint failing every delivery for the documented disable threshold
- Expected result
- Subscription is disabled, the owner is notified through another channel, and re-enabling replays or skips the backlog according to a stated rule.
Sign the payload so the receiver can verify it
TypeSecurityPriorityHigh- Test data
- Inspect the signature header, then alter one byte of the body and re-verify
- Expected result
- Signature covers the raw body and a timestamp, verification fails on any alteration, and the algorithm is documented for the receiver to implement.
Include a timestamp that bounds replay
TypeSecurityPriorityHigh- Test data
- Replay a valid signed request well outside the tolerance window
- Expected result
- Timestamp is part of the signed content so a captured request cannot be replayed indefinitely against the receiver.
Rotate a signing secret without dropping deliveries
TypeStatePriorityHigh- Test data
- Rotate the secret while deliveries are in flight
- Expected result
- Both secrets are accepted during an overlap window so the receiver can migrate, and the overlap ends at a documented time.
Give every event a stable unique identifier
TypeFunctionalPriorityHigh- Test data
- Force a duplicate delivery of the same logical event
- Expected result
- Both carry the same event identifier so the receiver can deduplicate. Delivery is at-least-once, so this identifier is what makes it safe.
Document and test out of order delivery
TypeBoundaryPriorityHigh- Test data
- An updated event delivered before the created event for the same object
- Expected result
- Payload carries a sequence number or version so the receiver can order them, since retries make out of order arrival normal rather than exceptional.
Deliver only the events a subscription asked for
TypeSecurityPriorityHigh- Test data
- A subscription for one event type while other types are triggered
- Expected result
- Only the subscribed types are sent, and no event from another account reaches this endpoint under any filtering configuration.
Scope payload content to what the subscriber may see
TypeSecurityPriorityHigh- Test data
- An event whose underlying object contains fields restricted from the subscriber
- Expected result
- Restricted fields are omitted. A webhook is an unauthenticated push, so it must not carry data the receiver could not request through the API.
Reject an endpoint pointing at an internal address
TypeSecurityPriorityHigh- Test data
- Register an endpoint on localhost, a private range, a cloud metadata address and a hostname resolving privately
- Expected result
- Each refused after resolution rather than by string inspection, since an unchecked endpoint turns the webhook sender into a server side request forgery tool.
Require transport security on the endpoint
TypeSecurityPriorityHigh- Test data
- Register a plain HTTP endpoint and one with an invalid certificate
- Expected result
- Both refused or explicitly opted into with a warning, since payloads frequently carry personal or financial data.
Time out a slow endpoint rather than waiting
TypeBoundaryPriorityHigh- Test data
- An endpoint that accepts the connection then never responds
- Expected result
- Attempt is abandoned at the documented timeout and treated as retryable. An unbounded wait exhausts the delivery worker pool.
Handle a redirect from the endpoint
TypeNegativePriorityMedium- Test data
- An endpoint responding with a redirect to another host, and to an internal address
- Expected result
- Documented behaviour applied consistently, and a redirect is never followed to an address that would have been refused at registration.
Cap the payload size
TypeBoundaryPriorityMedium- Test data
- An event whose object is unusually large, such as a record with many nested items
- Expected result
- Payload is capped or truncated to a documented shape with a reference the receiver can fetch, rather than sending an unbounded body.
Send a test event on demand
TypeFunctionalPriorityMedium- Test data
- Trigger a test delivery from the subscription settings
- Expected result
- Test event is clearly marked as a test, is signed identically to a real one, and does not appear in production event counts.
Replay a past event deliberately
TypeStatePriorityHigh- Test data
- Replay a delivered event and a dead lettered one
- Expected result
- Replay reuses the original event identifier so the receiver can recognise it as a duplicate, and the replay is recorded distinctly from the original attempt.
Show a usable delivery log
TypeFunctionalPriorityHigh- Test data
- A subscription with successes, retries, failures and a dead letter
- Expected result
- Each attempt shows timestamp, status code, response time and truncated response body, with the request body available for reproduction.
Redact secrets from the delivery log
TypeSecurityPriorityHigh- Test data
- Inspect stored request and response bodies and headers for a delivery
- Expected result
- Signing secret and any credential are absent, and the stored payload is subject to the same retention rules as the underlying data.
Fire the event only after the change is committed
TypeStatePriorityHigh- Test data
- Trigger an event inside a transaction that then rolls back
- Expected result
- No event is sent. Emitting before commit means the receiver acts on a change that never happened and cannot be told so afterwards.
Deliver every event when many fire at once
TypePerformancePriorityHigh- Test data
- A bulk operation producing thousands of events in a short window
- Expected result
- All are queued and delivered within the stated window, none is dropped, and the burst does not exhaust the worker pool for other subscribers.
Handle many subscriptions to the same event
TypePerformancePriorityMedium- Test data
- One event with many subscribers, one of which is slow
- Expected result
- Each subscriber is delivered to independently, and a slow one does not delay the others or cause the event to be retried for those already delivered.
Publish a stable payload contract
TypeCompatibilityPriorityHigh- Test data
- Add an optional field, then attempt to remove one and change a type
- Expected result
- Additions are safe, removals and type changes are breaking and belong behind a version, since receivers deploy on their own schedule.
Report delivery health to the subscription owner
TypeStatePriorityMedium- Test data
- A subscription whose failure rate crosses the alerting threshold
- Expected result
- Owner is alerted through a channel that does not depend on the failing webhook, with enough detail to identify the cause.
What goes in each field
ID
RequiredStable identifier, prefixed by module.
Test case
RequiredWhat is being verified, in one line.
Type
Functional, negative, boundary, security, state, performance, accessibility or compatibility. Use it to check coverage is spread rather than clustered on the happy path.
Priority
Risk based. Anything that silently drops an event, delivers to the wrong subscriber, or lets a dead consumer degrade the whole delivery pipeline is High. Signature and secret handling is High because the receiver trusts it.
Test data
The specific values, including the invalid and boundary ones.
Expected result
RequiredThe precise observable outcome, including message text where the wording itself is the requirement.
Take the consumer offline for six hours
Delivering one event to a healthy endpoint is the path everyone tests. These four conditions are where webhook pipelines actually fail.
Kill one consumer, watch the others
A high volume subscription failing for hours must not starve deliveries to healthy subscribers. One dead endpoint degrading the whole pipeline is the classic outage here.
Deliver the same event twice
Delivery is at-least-once, so duplicates are normal. Both copies need the same event identifier, or the receiver has no way to deduplicate and will act twice.
Send updated before created
Retries make out of order arrival routine. Without a sequence number or version in the payload, the receiver applies whichever landed last and ends up in the wrong state.
Roll back the transaction that fired it
Emit inside a transaction, then roll back. If the event still went out, the receiver has acted on a change that never happened and you cannot take it back.
Why webhook pipelines fail quietly
A webhook system makes two guarantees that most implementations do not state and most receivers do not expect: delivery is at-least-once, and order is not guaranteed. Both follow directly from retrying. If the sender does not attach a stable event identifier, the receiver cannot deduplicate, so every retry becomes a second order, a second charge or a second email. If the payload carries no sequence number or version, an updated event arriving before its created event leaves the receiver in a state that matches neither. Neither problem appears while everything is healthy, which is exactly why they ship.
The sender side failure is a dead consumer. One subscription whose endpoint has been unreachable for hours accumulates a backlog, and if that backlog shares a worker pool with every other subscriber, one broken integration degrades delivery for all of them. Bounding the backlog, timing out slow endpoints rather than waiting indefinitely, and disabling a persistently failing subscription with a notification through another channel are three separate cases and all three are load bearing.
Security on a webhook is unusual because the receiver has no session and no way to authenticate the sender beyond what the payload carries. That makes the signature the entire trust boundary: it has to cover the raw body plus a timestamp, so that altering the body fails verification and a captured request cannot be replayed a week later. Secret rotation needs an overlap window, otherwise rotating breaks every receiver at once. And the endpoint URL itself is untrusted input, so registering one that resolves to a private address turns your sender into a server side request forgery tool aimed at your own network.
Finally, two things that are easy to get subtly wrong. Payload scope: a webhook is an unauthenticated push, so it must never carry fields the subscriber could not have requested through the API. And emission timing: firing the event inside a transaction that later rolls back tells the receiver about a change that never happened, and there is no correction message that undoes what they already did with it.
Suggest an improvementTesting a webhook or event delivery layer?
QAble tests integration surfaces end to end, including retry and dead letter behaviour, signature verification, delivery under burst and isolation between subscribers.
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