Data Integration
Recover failed data exchanges without guessing what was lost.
Failed messages wait in a reviewable queue. Replay is idempotent, so retries never duplicate records, and reconciliation compares source and target to prove the systems agree again.
How it works
Replay failed messages and reconcile the result
Select failed messages and replay them. The duplicate delivery is skipped by id, and the reconciliation panel shows whether the commerce system now agrees with Autonera.
Message ids make replay idempotent: a delivery already applied is skipped, not duplicated.
| Item | Autonera | Commerce | State |
|---|---|---|---|
| SKU-1182 | Active | Active | |
| SKU-1183 | Active | Active | |
| SKU-1184 | Discontinued | Active | |
| SKU-1187 | (deleted) | Active | |
| SKU-1190 | Active | (absent) |
PROCESSING HISTORY
- evt-5518 applied 09:12 (original delivery).
The capability
Retries are easy. Knowing the systems agree afterwards is the hard part.
Integrations fail in ordinary ways: a destination times out, an API rate limit is reached, a network connection resets. Automatic retries handle many of these. The ones that remain are the problem: messages that exhausted their attempts, deliveries that arrived twice, and deletions that never reached the destination.
Autonera keeps failed messages in a dead-letter queue with the payload, error and attempt history. Operators can replay selected messages once the cause is fixed. Each message carries an identifier, and processing is idempotent: a message that was already applied is skipped rather than creating a duplicate or reverting a newer value.
Replay alone does not prove recovery. Reconciliation compares the source with the target and lists records that are missing, unexpected or different. Deletions are tracked as tombstones so a discontinued item removed upstream is also removed downstream. The processing history records every attempt, replay and reconciliation result.
Problems it solves
Where this work usually breaks down
- 01
Messages lost after the last retry
A status change exhausts its retries during an outage and nobody knows it never arrived.
- 02
Retries that create duplicates
Replaying a whole batch re-sends messages that had already succeeded.
- 03
Deletes that never propagate
Products removed upstream remain live in a commerce or partner system.
- 04
Reconciliation by spreadsheet
Teams compare exports manually to find out whether systems are back in agreement.
Functional capabilities
What Integration Replay & Reconciliation includes
- Dead-letter queue
- Retain failed messages with payloads, errors and attempt counts for review.
- Configurable retry policies
- Set attempts, back-off and which errors are retryable per integration.
- Selective, idempotent replay
- Replay chosen messages; already-processed message ids are skipped.
- Source-target reconciliation
- Compare systems and list missing, extra and mismatched records.
- Tombstone handling
- Carry deletions as explicit events so removals are reconciled too.
- Processing history
- Keep a record of attempts, replays and reconciliation outcomes per message and record.
Autonomous operations
How autonomous execution changes integration replay & reconciliation
Agents watch queues, group failures by cause and run reconciliation, while integration owners decide when and what to replay.
Agents carry out
- Group dead-lettered messages by root cause
- Retry transient errors within policy
- Run reconciliation after recovery
- Flag records still out of agreement
People decide
- Approve bulk replays
- Decide whether to discard obsolete messages
- Close incidents
Evidence recorded
- Message attempt history
- Replay decisions and skipped duplicates
- Reconciliation results before and after
In industrial operations
A manufacturer recovers from a commerce platform outage
During a two-hour outage, status updates and a product removal fail to reach the B2B commerce site.
- Failed messages accumulate in the dead-letter queue with their errors.
- After the platform recovers, the integration owner replays the queue; a duplicate delivery is skipped by id.
- Reconciliation confirms the discontinued item is now marked correctly and the removed item is gone.
- The processing history is attached to the incident record.
Result: The team can show which records were affected and that both systems agree, rather than assume they do.
Related capabilities
Works alongside
ERP Integration
Field-level ownership between ERP and Autonera, with mapped, monitored synchronization.
Feature guideProduct Data Syndication
One approved record transformed and delivered to each channel's requirements.
Feature guideSchema Drift & Data Contracts
Detect source schema changes, assess mapping impact and approve controlled updates.
Feature guideData Lineage & Audit
Trace every value from source through transformation, approval and destination.
Capability areaData Integration
See where Integration Replay & Reconciliation fits in the wider Data Integration capability.
Buyer FAQs
Questions evaluators ask
What makes replay safe to repeat?
Every message has an identifier. Messages already applied are skipped, so replaying a batch does not create duplicates.
Are deletions included in reconciliation?
Yes. Deletions are carried as tombstone events and reconciled like any other change.
Can we discard a failed message instead of replaying it?
Yes, with a reason recorded, for example when a newer message supersedes it.
How often does reconciliation run?
It can run on a schedule, after a replay or on demand for a specific integration.
Do you guarantee exactly-once delivery?
Delivery guarantees depend on each destination's interface. We will review your systems during evaluation rather than make a blanket claim.
Your next step
See Integration Replay & Reconciliation on data like yours.
Bring a real file, catalog or record set. We will walk through how Autonera would handle it and where your team keeps the final say.
Book a Demo