NewHow the Agent Session Protocol builds trust between autonomous systems.
Solution

E-commerce event infrastructure

Order lifecycle events with transactional publish across every system.

A customer places an order.

Inventory updates. Billing charges.

Shipping gets the wrong quantity.

The customer sees items in stock.

They are already sold.

Your support team takes the call.

npayload keeps every system in sync.

One event. Every system. Atomically.

See how it flows

Atomic order events

Publish to inventory, billing, shipping, and notifications atomically. All succeed or none do.

Event Stream
#114:22:08.041order.created
#214:22:08.127payment.captured
#314:22:08.203inventory.reserved
#414:22:08.298shipment.dispatched
#514:22:08.344notification.sent
Strict ordering guaranteed

Real time stock updates

Inventory changes propagate to every storefront in real time. No more overselling.

Live Dashboard
Events/sec
12,847
+23%
P99 Latency
38ms
−12%
Delivery Rate
99.97%
+0.02%
Active Channels
1,204
+8

Reliable shipping notifications

Every status update reaches your customer. Retries and circuit breakers handle any downstream failures.

Delivery Attempts
1
POST /webhook
503
retry
+0s
2
POST /webhook
503
retry
+2s
3
POST /webhook
503
retry
+8s
4
POST /webhook
200
delivered
+32s
Exponential backoff. Never lost.

Cross platform sync

Shopify, WooCommerce, custom platforms. Events flow between all of them through one integration.

Billing API42ms
Shipping Service38ms
Analytics51ms
Notification Hub29ms

How it works

1

Publish order events atomically

Inventory, billing, shipping, and notifications all receive the event. All succeed or none do.

2

Every system stays in sync

Stock levels, shipping status, and customer notifications update in real time.

3

Failures recover automatically

If a downstream system goes down, events are held and delivered when it recovers.

Ecommerce Event Infrastructure: Before and After

Without npayload

  • Order events reach inventory, shipping, and billing systems at different times, causing inconsistencies
  • A failure in one downstream system means the entire order flow stalls or produces partial updates
  • Scaling during flash sales requires weeks of preparation and over provisioning
  • No way to guarantee that every system processed an order event exactly once
  • Tracking an order across 5+ systems means checking logs in 5+ places

With npayload

  • Transactional publish delivers order events to every system atomically
  • DLQ captures failures per system so one slow service never blocks the rest
  • Cell architecture scales automatically during traffic spikes
  • Delivery tokens ensure exactly once processing across every downstream system
  • End to end tracing shows the complete order journey across every service

npayload vs Building Order Event Infrastructure Yourself

FeaturenpayloadBuild it yourself
Atomic deliveryTransactional publish across all downstream systemsDistributed transactions or eventual consistency bugs
Failure isolationPer system DLQ with inspection and replayOne failure blocks the pipeline or causes silent data loss
Exactly once processingDelivery tokens with deduplicationIdempotency keys that cover some cases
Peak trafficAuto scaling cells with backpressureMonths of capacity planning per sale event
Order tracingW3C distributed tracing across every hopCorrelation IDs that break at system boundaries
Multi channel deliveryFan out to webhooks, queues, streams simultaneouslySeparate delivery pipelines per destination type

Frequently asked questions

How does transactional publish work for order events?+
When an order event is published, npayload delivers it to every subscribed system atomically. Either all systems receive the event or none do. This eliminates partial updates where inventory is decremented but shipping is never notified.
What happens if our payment processor is slow during a flash sale?+
npayload isolates each subscriber. A slow payment processor gets its own backpressure and retry logic. Inventory, email, and shipping systems continue receiving events without delay.
Can npayload handle our Black Friday traffic?+
npayload's cell architecture scales horizontally. There is no need to pre provision for peak traffic. Events are queued and delivered as fast as your systems can process them.
How do we prevent duplicate order processing?+
npayload's delivery tokens provide exactly once semantics. Each event delivery includes a unique token that your system checks before processing. Duplicates are detected and rejected automatically.