Phoenix - Your AI AssistantMongoDB Change Streams & Node.js Integration
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5 days
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What you get with this Offer
I will design and build a MongoDB Change Streams-based real-time event pipeline — covering Change Stream cursor configuration, resume token persistence for fault-tolerant resumption, event filtering by operation type and collection, event processing logic for your use case, downstream delivery to Kafka, RabbitMQ, WebSocket, or REST webhook, and a Node.js microservice with proper error handling and automatic resume on disconnection. MongoDB Change Streams are the correct, officially supported mechanism for Change Data Capture from MongoDB; polling-based approaches that repeatedly query for recently modified documents miss deletes, create database load proportional to polling frequency, and cannot guarantee event ordering — all problems that Change Streams solve by design.
The implementation covers replica set or sharded cluster Change Stream configuration (requires a replica set), resume token storage in Redis or MongoDB itself for fault-tolerant resumption after failure, $match pipeline for event type and namespace filtering, event processing and transformation, downstream delivery with retry logic, dead letter queue for processing failures, and a Node.js microservice with proper lifecycle management and health check endpoint.
Designed for engineering teams building real-time features — live inventory updates, collaborative editing, audit trails, cache invalidation, or cross-service event propagation — that depend on reliable, ordered, resumable MongoDB change notification.
The implementation covers replica set or sharded cluster Change Stream configuration (requires a replica set), resume token storage in Redis or MongoDB itself for fault-tolerant resumption after failure, $match pipeline for event type and namespace filtering, event processing and transformation, downstream delivery with retry logic, dead letter queue for processing failures, and a Node.js microservice with proper lifecycle management and health check endpoint.
Designed for engineering teams building real-time features — live inventory updates, collaborative editing, audit trails, cache invalidation, or cross-service event propagation — that depend on reliable, ordered, resumable MongoDB change notification.
What the Freelancer needs to start the work
Please describe your Change Stream use case, the collections to monitor, the operation types to capture (insert, update, delete, replace), your downstream delivery target (Kafka, RabbitMQ, WebSocket, or webhook), your MongoDB version, and your Node.js environment.