Event driven architecture
Guaranteed event delivery across every system, every organization, every boundary.
A system publishes an event.
Ten services need it. Three partners need it.
An internal service gets it. The partner does not.
Nobody notices until a customer complains.
Your team builds retry logic for one connection.
Then ordering. Then failure queues. Then cross org consent.
Months pass. You are still building plumbing.
npayload delivers across every boundary from day one.
See how it flows
Events cross every boundary
Internal microservices, autonomous agents, external partners. Publish once. npayload delivers across service boundaries, org boundaries, and regional boundaries with the same guarantee.
Ordering and streams
Message groups ensure FIFO ordering. Streams let consumers replay from any offset. Consumer groups distribute load. Priority queues accelerate critical events.
Zero infrastructure
No brokers to deploy. No partitions to manage. No clusters to scale. npayload's cell architecture handles all of it, including cross region replication.
Works with everything
Adapters for Kafka, SQS, Pub/Sub, EventBridge, Azure Service Bus, and more. Connect your existing stack. Add cross org delivery, encryption, and audit on top.
How it works
Create channels
Define event channels with privacy mode, delivery preferences, and encryption level. One channel can reach internal services and external partners alike.
Publish and subscribe
Any system publishes events. Internal services, autonomous agents, and external organizations subscribe with independent delivery guarantees.
Scale across every boundary
npayload handles retries, circuit breakers, cross org consent, regional routing, and dead letter queues. You focus on business logic.
Event Driven Architecture: Before and After
Without npayload
- Events stop at the org boundary. Internal events never reach external partners without custom pipelines
- Every new partner connection requires months of integration work: retries, auth, ordering, compliance
- No guaranteed delivery across boundaries means events are lost during outages, deployments, and network failures
- Event schemas drift between systems. No central catalogue, no versioning, no compatibility checks
- Debugging event flows across internal services, agents, and external partners is nearly impossible
With npayload
- Events cross every boundary: internal services, autonomous agents, external organizations. Publish once, deliver everywhere
- New partners subscribe through npayload with consent, encryption, and audit. Minutes, not months
- Guaranteed delivery with DLQ, circuit breakers, and automatic retries across every connection
- Event catalogue provides schema registry with versioning, compatibility validation, and cross org discovery
- W3C distributed tracing follows every event across every system, every org, every region automatically
npayload vs Building Event Infrastructure Yourself
| Feature | npayload | Build it yourself |
|---|---|---|
| Pub/sub | Channels with fan out, consumer groups, priority queues, and cross org delivery | Kafka or RabbitMQ cluster limited to your network boundary |
| Cross org events | Consent based delivery with encryption and audit trails built in | Custom webhook pipelines per partner. Months per connection |
| Guaranteed delivery | Durable storage with retries, DLQ, and circuit breakers across every boundary | Configure and monitor broker replication within your own infrastructure only |
| Schema registry | Event catalogue with versioning, compatibility, and cross org discovery | Confluent Schema Registry, no cross org support |
| Privacy and encryption | Three modes: standard, hybrid, zero knowledge. Per channel, per partner | Build your own encryption and key management per partner |
| Streams and replay | Stream channels with offsets, replay from any point, cross region replication | Kafka partition management with no cross org or cross region story |
| Operations | Fully managed. No brokers, no partitions, no rebalancing, no infrastructure team | Dedicated team for broker operations, upgrades, security, and scaling |