
Apache Kafka
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Apache Kafka
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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
> Is anyone still working on WYSIWYG HTML editors? Yep, I do time to time: https://html-notepad.com/ ( based on my Sciter Engine https://sciter.com ) It is almost impossible (mathematically speaking) to create reasonable WYSIWYG HTML and CSS editor. So bad news for anyone looking for WYSIWYG editor to create meaningful web site from scratch using solely WYSIWYG. For web site creation the only... - Source: Hacker News / about 5 years ago
Just in case, my html-notepad does HTML cleaning locally. Without sending anything to anybody. Source: about 5 years ago
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