Apache Kafka
StatCounter
Histats
AFSAnalytics
Woopra
KISSmetrics
Clicky
Open Web Analytics
Hookbase
Hookdeck
Svix
Hookbridge
Hook0
ngrok
Webhook.site
hookVM
Hookbase is a developer-first platform for building, testing, and managing webhooks without the usual complexity.
Webhooks are powerful, but debugging failures, testing locally, and tracking deliveries across environments is painful. Hookbase gives you a single place to see every webhook event, inspect payloads, retry failures, and confidently ship integrations.
With Hookbase you can:
Capture and inspect incoming webhook requests in real time
Debug payloads, headers, and responses with full visibility
Replay webhook events to local or remote endpoints
Track delivery status, failures, and retries
Test integrations without deploying or managing infrastructure
Whether youโre integrating Stripe, GitHub, internal services, or custom APIs, Hookbase fits naturally into your development workflow, from local development to production monitoring.
Built for developers who want clarity, reliability, and speed when working with webhooks.
Stop guessing. Start shipping webhooks with confidence.
Apache Kafka
HookbaseNo Hookbase videos yet. You could help us improve this page by suggesting one.
Based on our record, Apache Kafka seems to be more popular. It has been mentiond 155 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Kafka is a distributed streaming platform used to build real-time data pipelines and streaming applications. It allows producers to send messages to topics, which are then consumed by various consumers, making it ideal for event-driven architectures. - Source: dev.to / 2 months ago
Apache Kafka is the most widely used distributed event streaming platform and the standard transport layer for event-driven reconciliation architectures. - Source: dev.to / 3 months ago
For message-queue-based pipelines: RabbitMQ has native DLQ support through dead letter exchanges. Messages that exceed their retry count or their time-to-live are automatically routed to a designated DLQ exchange. Apache Kafka does not have native DLQ semantics, but the standard pattern is to write failed records to a dedicated topic (-dlq by convention) and include the failure metadata in the record headers. - Source: dev.to / 3 months ago
Upsert with timestamp tracking. Keep the upsert approach but track which time windows have been fully processed. On retry, skip windows that are marked complete and reprocess only windows that failed mid-run. The Kafka documentation covers offset management patterns that implement this for stream-based pipelines. - Source: dev.to / 3 months ago
Apache Kafka allows the payment service to publish a transaction event to a topic, without knowing who will consume it. The fraud service, the notification service, and any other interested component can subscribe to that topic independently:. - Source: dev.to / 3 months ago
StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.
Hookdeck - Hookdeck makes it simple to build and deploy reliable, testable, and debuggable applications that rely on webhooks.
Histats - Start tracking your visitors in 1 minute!
Svix - The enterprise ready webhooks service, open-source and in the cloud.
AFSAnalytics - AFSAnalytics.
Hookbridge - Hookbridge delivers webhooks quickly and securely โ send and receive with automatic retries, HMAC signatures, and durable storage.