Webhook & Event-Driven Integration
Polling for changes is slow and wasteful; reacting to events as they happen is faster and lighter. We build event-driven integrations where systems publish events and interested services consume them through webhooks and message brokers. The result is real-time data flow that decouples your systems, absorbs spikes, and keeps processing even when a downstream service is briefly unavailable.
Webhooks and event buses
We design integrations around the right delivery mechanism. Inbound webhooks let external providers notify you the moment something changes, while internal events flow through a broker such as Kafka, RabbitMQ, or AWS SNS and SQS. We choose between them by durability, ordering, and throughput needs rather than habit. Producers publish events to topics or queues, and consumers subscribe to only what they care about, so adding a new system means subscribing to existing events instead of rewiring every connection point by hand.
Publish/subscribe and decoupling
A pub/sub model lets one event feed many consumers without the producer knowing who listens. We use this to decouple services so they can be deployed, scaled, and changed independently. When an order is placed, billing, inventory, and notifications each react to the same event on their own schedule. A queue between producer and consumer also acts as a buffer, absorbing traffic spikes so a sudden surge is processed steadily rather than overwhelming a downstream service and causing a cascade of failures.
Idempotency, retries, and dead-letter queues
At-least-once delivery means events can arrive more than once, so we make consumers idempotent: processing the same event twice has no extra effect. Transient failures are retried with backoff, and anything that still cannot be processed is routed to a dead-letter queue for inspection rather than lost or endlessly looping. We track each event's identifier end to end, so duplicates are recognised and failures are traceable to the exact message and the reason it could not be handled.
Security and delivery guarantees
Webhook endpoints are public, so we verify signatures on every inbound request to confirm it genuinely came from the sender and was not tampered with in transit. Payloads are validated before processing, and replay attempts are rejected using timestamps and nonces. For internal brokers we secure connections, restrict topic access, and monitor consumer lag so a falling-behind consumer is noticed early. Each integration is documented with its events, schemas, and delivery guarantees so behaviour under failure is understood, not assumed.
What You Get
- Inbound and outbound webhook handling with signature verification
- Event broker setup using Kafka, RabbitMQ, or AWS SNS and SQS
- Publish/subscribe topology that decouples producers from consumers
- Idempotent consumers with retries, backoff, and dead-letter queues
- Monitoring of consumer lag, throughput, and failed-event volumes
- Documentation of event schemas and delivery guarantees
Why Teams Choose Turn Global
- Event-driven design that decouples systems and absorbs traffic spikes
- Idempotency and dead-letter handling, so events are never lost or double-processed
- Verified webhook signatures and replay protection on every public endpoint
Ready to Start?
Contact our team and we will send the best implementation plan for your business.