Domain Architecture for Logistics
The domain reality is hostile senders: carriers that retry aggressively, partners that batch-send a day of events at 3 a.m., senders whose “event id” is unique only most of the time. The table design answers all three: the sender’s id keys the row where it is trustworthy, raw bodies preserve the evidence where it is not, and processing outcomes — normalised, quarantined, dead-lettered with the error — are states the operations team can count at a glance.
Compliance, Data Residency & Governance
Logistics disputes are timestamp disputes, so the intake record is built to be believed: payload as received, arrival time, signature outcome, processing history, all in the European project. When a carrier claims a delivery event was sent and your old architecture would have shrugged, the row (or its provable absence) settles it — and replaying a mis-normalised week from raw intake beats arguing from screenshots of a carrier portal that has since rotated its logs.
Logistics runs on evidence with deadlines: proof of delivery, claims windows with carriers, customs documentation, and data about recipients that obeys European residency and retention duties. On KERNSTACK the raw carrier events are kept beside their normalised states, so a disputed delivery replays from what the carrier actually sent; exception handling is timestamped work with owners; and recipient data follows the project’s declared retention in one European zone — demonstrable to enterprise customers who audit their carriers’ subcontractors, software included.
Operational Impact on the Software Lifecycle Cloud
Operations gains a boring superpower: the integration’s health is a table, not a feeling. Dead letters accumulate visibly with errors; replay after a normaliser fix is a state change, not a senior engineer’s laptop script; and sender misbehaviour (duplicate floods, malformed batches) is measurable per partner, which turns integration reviews from anecdotes into numbers.
Key Domain Entities & Workflows
- Primary Logistics Data Entities: shipments, scan events, carrier accounts, exceptions, proofs of delivery
- Governed Lifecycle Workflows: exception review, carrier replay, proof of delivery, customs document intake, claims evidence export
- Integrated Platform Services: functions, tables, gateway, workers
Compare this integrated blueprint with the general Webhook ingestion reference architecture or explore our European Sovereign Cloud guarantees.
Frequently asked questions
The design admits it: where ids cannot be trusted as keys, intake derives the key from sender plus payload hash, and the raw body remains for human inspection. Idempotency is engineered per sender’s actual behaviour, not assumed from their documentation.
Yes. Raw payloads are the replay source: point the fixed processor at the failed window and outcomes append to the same rows. Events already applied do not re-apply, because processing checks the row’s state first.
By the intake table’s completeness: signature-checked arrivals are written before any processing, so absence from the table — across the sender’s retries — is evidence about the sender, presentable in the dispute without log archaeology.
Related capabilities, architectures, and comparisons
Ship your stack on the Software Lifecycle Cloud.
Closed preview on dedicated European infrastructure. Bring a repository or start from a blueprint.