Consume Guidewire App Events into downstream systems (SQS/SNS, Kafka, webhooks) and survive the event-side failures — events not firing because Gosu registration was missed, duplicates from queue redelivery, out-of-order arrival on the same resource, replay from a checkpoint for backfill, and back-pressure when consumers cannot keep up with producers. Use when registering App Events in Gosu, building an event-consumer service, or recovering from a missed-event window. Trigger with "guidewire app events", "guidewire webhooks", "guidewire event consumer", "guidewire event replay", "guidewire idempotent consumer".
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Consume Guidewire App Events into downstream systems (SQS/SNS, Kafka, webhooks) and survive the event-side failures — events not firing because Gosu registration was missed, duplicates from queue redelivery, out-of-order arrival on the same resource, replay from a checkpoint for backfill, and back-pressure when consumers cannot keep up with producers. Use when registering App Events in Gosu, building an event-consumer service, or recovering from a missed-event window. Trigger with "guidewire app events", "guidewire webhooks", "guidewire event consumer", "guidewire event replay", "guidewire idempotent consumer".
Wire Guidewire's event system into downstream consumers — analytics warehouses, fraud-detection services, broker-portal cache invalidators, customer-notification services. Guidewire emits App Events (typed business events fired on entity-state transitions); they are configured server-side in Gosu and routed to a destination (SQS, Kafka, or webhook URL). The consumer side has its own production failure modes that this skill addresses.
Five production failures this skill prevents:
Event registered nowhere — code subscribes to a claim.bound event that was never registered in Gosu; consumer waits forever; no error surfaces because there's nothing to error on.
Duplicate processing — the queue redelivers a message after consumer ack timeout; consumer creates a duplicate downstream record (duplicate notification, duplicate analytics row).
Out-of-order arrival — events for the same claim arrive in the wrong order (claim.reserve.changed before claim.created); consumer rejects the reserve event because the parent claim does not yet exist locally.
Quiet event loss — consumer was down for 30 minutes; events that fired during that window are gone; nobody notices until a downstream report is missing rows.
Back-pressure cascade — producer (Guidewire) emits faster than the consumer drains the queue; queue depth grows; eventually the destination's queue retention expires and events are dropped.
Prerequisites
A working integration per guidewire-install-auth and guidewire-sdk-patterns
Access to the InsuranceSuite config zone for editing Gosu / messaging-destination XML
A destination ready to receive events (AWS SQS queue + dead-letter queue, an HTTPS webhook endpoint, or a Kafka topic)
The consumer service has its own datastore for idempotency keys (Redis with TTL ≥ 7d works; a database table also works)
Instructions
Build the integration in this order. Each step targets one of the five production failures listed in Overview.
1. Register the App Event in Gosu
Events not registered do not fire. The registration lives in gw.api.messaging.MessageEvents (or carrier-customized equivalent) and pairs an event code with a Gosu callback that decides whether to emit, and what payload.
Register the destination in config/Messaging.xml so the InsuranceSuite messaging engine knows which channel (SQS, webhook, Kafka) routes the event. Without that XML entry, the Gosu callback exists but never fires.
2. Idempotent consumer keyed on messageId
Every event payload includes a messageId (a UUID generated by the producer). The consumer dedups on it before processing. The dedup window must exceed the queue's max-redelivery-window — for SQS with 24-hour message retention, dedup TTL ≥ 7 days is safe.
asyncfunctionhandleEvent(msg: SqsMessage): Promise<void> {
const event = JSON.parse(msg.Body);
const seen = await redis.set(`evt:${event.messageId}`, "1", "EX", 7 * 86400, "NX");
if (!seen) {
return; // already processed; ack and skip
}
awaitprocessEvent(event); // your business logic
}
SET ... NX (set-if-not-exists) makes the dedup atomic — concurrent workers cannot both decide a duplicate is novel.
3. Out-of-order tolerance via state-machine validation
Events for the same claim can arrive in arbitrary order. Consumer must tolerate without rejecting.
asyncfunctionprocessEvent(event: Event): Promise<void> {
const local = awaitgetLocalClaim(event.claimId);
switch (event.eventType) {
case"claim.created":
if (!local) awaitcreateLocalClaim(event);
break;
case"claim.status.changed":
if (!local) {
awaitdeferEvent(event, "waiting-on-claim-created");
return;
}
awaitapplyStatusChange(local, event);
break;
}
}
The deferEvent helper writes the event to a holding table; a periodic re-processor retries deferred events when their dependencies might have arrived. Events older than a TTL (e.g., 24h) escalate to manual review — a deferred event still missing dependencies after a day indicates a real producer bug.
4. Checkpoint and replay for backfill / recovery
If the consumer goes down or a downstream system needs to be rebuilt, replay events from a checkpoint. Guidewire's messaging system retains events server-side per the configured retention; in addition, the consumer should persist its own checkpoint (last-processed eventTime per event type).
Replay must be idempotent — that is why the consumer's messageId dedup must outlive the replay window.
5. Back-pressure handling
If queue depth grows past a threshold, the consumer is losing ground. Three responses, pre-baked rather than improvised at 3am:
# CloudWatch alarm: SQS queue depth > 10000 for 15minon-alarm:-autoscale:increaseconsumerreplicasto4x-if not catching up after 15min more:-emitmetric`consumer-saturation`toincidentpipeline-on-callpaged-if queue retention near expiry:-last-resort:emergencycaponproducer-sideratelimit
The autoscale path handles transient bursts; the cap path is for sustained saturation that needs a producer-side conversation.
Output
A production-grade event integration ships with all of the following:
App Events registered in Gosu and Messaging.xml for every business event the consumer needs; absent registrations explicitly documented as out-of-scope.
Consumer-side idempotency keyed on messageId with TTL ≥ queue retention window.
Out-of-order tolerance: consumer processes events that arrive in any order without rejecting; deferred events held in a queue with TTL escalation.
Per-consumer checkpoint persisted; replay tooling that consumes from the checkpoint forward and is safe under retry.
Back-pressure response: queue-depth alarm wired to autoscale; saturation playbook documented; emergency producer cap available.
Examples
Example 1 — Gosu event builder for a policy renewal event
# Replay all policy.bound events since last successful checkpoint
LAST=$(psql -tAc "SELECT last_event_time FROM event_checkpoint WHERE consumer='broker-portal' AND event_type='policy.bound'")
node scripts/replay.js --consumer=broker-portal --type=policy.bound --since="$LAST"
Error Handling
Symptom
Cause
Solution
Event subscription set up but no events arriving
Gosu registration missing or Messaging.xml entry missing
confirm both; the Gosu callback alone does not route
Same downstream record created twice
consumer not deduping on messageId
wire the Redis SET NX dedup; backfill cleanup of duplicates is painful
Consumer rejects event with "parent not found"
out-of-order arrival; parent event has not been processed yet
use the deferred-events queue; do not reject
Events lost during consumer outage
no replay tooling
implement checkpoint + replay; without it, outages are data-loss events
Queue depth growing 24/7
producer faster than consumer
scale consumer; if scaling does not help, partition by entity-id
Replay creates duplicates downstream
consumer dedup TTL too short, or checkpoint not flushed atomically
extend dedup TTL; flush checkpoint only after batch fully processes
Webhook endpoint returning 5xx for valid events
endpoint capacity or bug
Guidewire retries with backoff; eventually goes to DLQ; investigate the endpoint
Same messageId showing different payloads in DLQ
producer bug — messageId is supposed to be unique per message
escalate to Guidewire support / config team; consumer cannot fix this
For deeper coverage (Kafka partitioning strategies, exactly-once semantics across boundaries, schema evolution for event payloads, multi-tenant event fan-out), see implementation guide and API reference.
See Also
guidewire-install-auth — auth between Guidewire and the messaging destination if it requires bearer tokens
guidewire-core-workflow-a — the bind/issue/renewal events this skill consumes are emitted by that workflow
guidewire-core-workflow-b — the FNOL/reserve/payment events this skill consumes
guidewire-observability-and-incident-response — queue-depth and saturation alerts that drive this skill's back-pressure response
