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Databases & messaging · #mongodb
A technical diagnostic guide for resolving MongoDB slow queries, focusing on the ESR rule, explain() plan analysis, and resolving COLLSCAN issues.
Stop memory bloat in read-heavy APIs by switching from full Mongoose documents to lean queries. This guide explains when to use each, trade-offs, and how to implement a high-performance read model.
Stop syncing redundant fields in MongoDB. Learn how to use Mongoose Virtuals to create computed properties that simplify your API without bloating your database.
Stop relying on the 'insecure' package. Learn how to use Meteor Methods to create a secure server-side boundary while maintaining a snappy UI through latency compensation.
Implement MongoDB Change Streams to propagate real‑time events from a replica set to downstream services. The guide covers minimal architecture, consumer design, resume‑token persistence, and operational checks.
Learn how to use Mongoose pre and post hooks to centralize data normalization and validation, and avoid the common pitfall of update-method bypassing.
Learn how to implement MongoDB Change Streams for real-time synchronization, focusing on resume tokens, oplog rollover risks, and when to move to a message queue.
Learn how to implement and optimize Meteor's publish-subscribe pattern to securely stream real-time data from server to client while avoiding common memory leaks and security pitfalls.
mongoose
nodejs
javascript