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Event Processing
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Everything about Event Processing
- Article · MongoDB
MongoDB Change Streams: How to Resume Watching Changes After a Disconnect
Learn how to use MongoDB Change Streams in Node.js and persist resume tokens to recover from disconnects while handling duplicate event processing safely.
- Article · AI Agents
Resilience in Real-Time: Handling Duplicates, Reordering, and Replay in Enterprise Graph RAG
Handling the chaos of real-time data streams is not optional for enterprise Graph RAG systems it is a foundational requirement. By leveraging LangGraph’s persistent state, we can implement robust idempotency checks to kill duplicates, buffering logic to handle out-of-order events, and checkpointing to support safe replays.
- Article · Design Patterns & Practices
Apache Flink Explained: Real-Time Stream Processing for Modern Applications
Learn how Apache Flink enables real-time stream processing, event-driven applications, stateful computations, and scalable analytics for modern data platforms.
- Article · Azure
Azure Event Hub Implementation Using .Net Core Console App
Implement real-time data processing with Azure Event Hub using a .NET Core console app. Utilize Azure's scalable messaging service for efficient event-driven architecture, enabling seamless data streaming, analytics, and integration with IoT devices.
