Webhooks automatically send HTTP callbacks when events occur, enabling real-time notifications and event-driven integrations between systems.
A webhook is an HTTP callback that automatically sends a POST request with an event payload to a pre-configured URL when a specific event occurs in a source system. Webhooks enable real-time, event-driven communication between applications without the receiver needing to continuously poll for updates. They are the backbone of modern integrations between SaaS platforms, payment providers, CI/CD systems, and internal microservices.

A webhook is an HTTP callback that automatically sends a POST request with an event payload to a pre-configured URL when a specific event occurs in a source system. Webhooks enable real-time, event-driven communication between applications without the receiver needing to continuously poll for updates. They are the backbone of modern integrations between SaaS platforms, payment providers, CI/CD systems, and internal microservices.
Webhooks follow a publisher-subscriber model over HTTP. When an event occurs (a payment succeeds, a commit is pushed, a form is submitted), the source system serializes the event data as a JSON payload and sends it as an HTTP POST to one or more subscriber-registered URLs. The receiver acknowledges receipt by returning a 2xx status code. If the receiver is unreachable or returns a 5xx error, the sender should retry with exponential backoff (for example, after 1 minute, 5 minutes, 30 minutes, then hourly) to handle transient failures. Security is non-negotiable: every webhook must be verified via an HMAC signature. The sender computes a hash (typically SHA-256) of the raw request body using a shared secret and includes it in a header (e.g., Stripe-Signature, X-Hub-Signature-256). The receiver recomputes the hash and rejects the request if it does not match, preventing spoofed events from malicious actors. Beyond HMAC, best practices include enforcing HTTPS, validating the payload schema, checking timestamp freshness to prevent replay attacks, and implementing IP allowlisting where the provider publishes its egress IPs. Idempotency is critical because retries mean the same event can arrive multiple times. Receivers should store a unique event ID and skip processing if they have already handled that ID. For high-throughput systems, decoupling receipt from processing via a message queue (Redis, RabbitMQ, SQS) absorbs traffic spikes and prevents webhook timeouts from blocking the sender. Monitoring webhook delivery with dashboards tracking success rates, latency percentiles, and failure reasons helps catch integration issues before they impact business processes. Modern webhook infrastructure tools like Svix, Hookdeck, and ngrok simplify development, testing, and production delivery management. Standards like CloudEvents provide a vendor-neutral format for event payloads, making integrations simpler when multiple sources send events to the same receiver. Self-service webhook registration portals allow customers to add endpoints, select event types, and view delivery history without involvement from the development team. Rate limiting on inbound webhook endpoints protects your infrastructure from accidental or malicious flood scenarios. Webhook payload versioning, where event schemas include a version field, enables receivers to handle format changes gracefully without breaking existing processing logic.
MG Software implements webhooks as the default integration mechanism in the applications we build. We receive payment webhooks from Stripe and Mollie with HMAC verification and idempotent event processing, trigger CI/CD deployments via GitHub webhooks, synchronize CRM records through HubSpot event callbacks, and push real-time order updates to client ERP systems. Every webhook endpoint we build includes signature verification, structured logging, dead-letter handling for failed events, and monitoring alerts for delivery anomalies. We use a queue-based architecture where incoming webhooks are accepted immediately with a 200 response and processed asynchronously in a background worker. This guarantees fast response times to the sender and prevents peak traffic from blocking our processing pipeline. For local development, we rely on ngrok to tunnel webhooks to the development environment and the Stripe CLI to generate test events without real transactions. Our webhook endpoints are designed to scale horizontally: at high volumes, a load balancer distributes incoming requests across multiple workers that independently process events from the queue.
Push-based integrations react to events in seconds instead of minutes, and they eliminate the wasted compute of constant polling. For payments, inventory, and customer-facing workflows, the difference between a 30-second polling interval and an instant webhook can mean the difference between a confirmed order and a confused customer. Reliable webhook handling with proper verification, retries, and idempotency is what separates production-grade integrations from fragile glue code.
Skipping HMAC signature verification, which allows anyone who discovers the endpoint URL to inject fake events. Processing webhooks synchronously in the request handler instead of queuing them, causing timeouts under load. Ignoring idempotency so retried events create duplicate orders or charges. Not monitoring delivery success rates, which means failed integrations go unnoticed until a customer complains. Hardcoding webhook URLs without environment-specific configuration, leading to production events accidentally hitting staging endpoints. Not implementing a dead-letter queue for events that fail repeatedly, causing them to be permanently lost and creating data inconsistencies between integrated systems. Sharing the webhook secret through insecure channels like email or chat instead of storing it in a secrets manager such as Vault or AWS Secrets Manager. Insufficient logging around webhook processing, making it impossible to trace the root cause of failed events when problems surface days later. Failing to validate the payload schema before processing, which allows malformed or unexpected data to corrupt application state.
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