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.
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.
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.
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.
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.
Standard API integration is request and response: your system asks and waits for an answer. Event-driven integration is reactive: systems publish events and others respond as they arrive, giving real-time updates, looser coupling, and better resilience to spikes and downstream outages.
Transient failures are retried with backoff. If an event still cannot be processed, it moves to a dead-letter queue rather than being lost or looping forever. From there it can be inspected, fixed, and replayed, so no event quietly disappears.
We commonly use Apache Kafka for high-throughput ordered streams, RabbitMQ for flexible routing, and AWS SNS and SQS for managed pub/sub and queuing. We choose based on your throughput, ordering, and operational needs rather than defaulting to one.
Connect your ERP to surrounding systems so finance, inventory, and order data stay in sync.
Sync leads, contacts, and deals between your CRM and the tools your teams use daily.
Integrate secure payment gateways with reliable webhooks and automated reconciliation.
Connect internal and third-party systems through robust, secure, well-documented APIs.
Move and transform data reliably from source systems into a clean, query-ready warehouse.
Automate repetitive, multi-step workflows across your systems to cut manual effort and errors.
Connect the SaaS tools your teams use into one coordinated, reliable workflow.
Exchange purchase orders and invoices with trading partners using standard EDI formats and protocols.
Contact our team and we will send the best implementation plan for your business.