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  3. /What is a Webhook? - Explanation & Meaning

What is a Webhook? - Explanation & Meaning

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.

What is a Webhook? - Explanation & Meaning

What is Webhook?

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.

How does Webhook work technically?

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.

How does MG Software apply Webhook in practice?

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.

Why does Webhook matter?

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.

Common mistakes with Webhook

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.

What are some examples of Webhook?

  • An online store receiving a Stripe webhook on a successful payment, after which the order is automatically confirmed, an invoice generated, and a shipping label created, all within seconds of the customer completing checkout.
  • A CI/CD pipeline that is automatically triggered by a GitHub webhook on every push to the main branch, running tests, building containers, and deploying to staging without any polling or manual intervention.
  • A marketing automation platform receiving real-time notifications via HubSpot webhooks when a lead fills out a form, triggering a personalized follow-up email sequence within seconds.
  • A SaaS platform sending webhooks to customer-configured endpoints whenever a report finishes generating, so downstream systems can ingest the results immediately rather than checking on a schedule.
  • An inventory management system receiving Shopify order webhooks to decrement stock counts in real-time and automatically reorder from suppliers when levels drop below a threshold.

Related terms

api first developmentcontinuous deploymenterpcrmmessage queue

Further reading

Knowledge BaseWhat are Design Patterns? - Explanation & MeaningWhat is Clean Code? - Explanation & MeaningKafka vs RabbitMQ: Complete Comparison for Event-Driven ArchitectureAPI Integration Examples - Practical Integrations for Businesses

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Frequently asked questions

With polling, your application repeatedly asks an external service (for example every 30 seconds) whether new data is available. This wastes compute resources when nothing has changed and introduces latency equal to the polling interval. With webhooks, the external service proactively sends a message to your application the moment something changes. Webhooks are more efficient, deliver updates in real-time, and significantly reduce unnecessary server load on both sides.
Start with HMAC signature verification: the sender computes a hash of the raw payload using a shared secret and includes it in a request header. Your endpoint recomputes the hash and rejects the request if it does not match. Additionally, enforce HTTPS to prevent eavesdropping, validate the payload schema to reject malformed data, check the timestamp header to prevent replay attacks, and implement IP allowlisting if the provider publishes its egress IP ranges. Process every webhook idempotently using a unique event ID to prevent duplicate processing on retries.
Well-designed webhook senders include retry mechanisms with exponential backoff: if the first delivery attempt fails, the sender retries after increasing intervals (e.g., 1 minute, 5 minutes, 30 minutes, then hourly). Most providers also offer a webhook event log or dashboard where missed events can be manually or automatically replayed. On your side, placing a message queue (Redis, SQS, RabbitMQ) between the endpoint and your processing logic ensures events are buffered even if your application temporarily cannot process them.
Use a tunneling tool like ngrok, Cloudflare Tunnel, or localtunnel to expose your local development server to the internet with a temporary public URL. Configure the webhook provider to send events to that URL. Many providers (Stripe, GitHub, Shopify) also offer CLI tools or dashboard features to trigger test events and replay recent deliveries, so you can debug your endpoint without waiting for real events to occur. Request inspection tools like Webhook.site are also useful for examining raw payloads and headers before writing any handler code.
Idempotency means processing the same webhook event multiple times produces the same result as processing it once. This matters because webhook senders retry failed deliveries, network issues can cause duplicate requests, and your endpoint might receive the same event more than once. Implement idempotency by storing the unique event ID (most providers include one) and checking whether you have already processed that ID before taking action. Without this, retries can create duplicate orders, double-charge customers, or corrupt data.
A dead-letter queue (DLQ) is a separate queue where webhook events are placed after multiple failed processing attempts. Instead of permanently losing these events, the DLQ stores them for later inspection and reprocessing. This gives your team the ability to investigate the root cause, fix the underlying issue, and replay the events once the problem is resolved. Without a DLQ, failed events are permanently lost, which can lead to missed payments, missing orders, or data inconsistencies between integrated systems.
Webhooks technically work for internal service-to-service communication, but message brokers like Kafka, RabbitMQ, or Amazon SNS/SQS are usually a better fit for microservices. Message brokers provide built-in guarantees for reliable delivery, message ordering, backpressure handling, and fan-out that must be manually implemented with HTTP-based webhooks. Webhooks are ideal for integrating with external systems where you do not control the protocol or infrastructure. For internal services where you own both the producer and consumer, a message broker offers more robustness and scalability out of the box.

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REST APIs use standard HTTP methods and resource-based URLs to exchange structured data between systems. Learn the six architectural constraints, security patterns, and design best practices behind the dominant API style powering modern web services.

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Message queues decouple system components through async communication, often using RabbitMQ and Kafka for reliable, scalable data processing.

Kafka vs RabbitMQ: Complete Comparison for Event-Driven Architecture

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MG Software
MG Software
MG Software.

MG Software builds custom software, websites and AI solutions that help businesses grow.

© 2026 MG Software B.V. All rights reserved.

NavigationServicesPortfolioAbout UsContactBlogCalculator
ServicesCustom developmentSoftware integrationsSoftware redevelopmentApp developmentSEO & discoverability
Knowledge BaseKnowledge BaseComparisonsExamplesAlternativesTemplatesToolsSolutionsAPI integrations
LocationsHaarlemAmsterdamThe HagueEindhovenBredaAmersfoortAll locations
IndustriesLegalEnergyHealthcareE-commerceLogisticsAll industries