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MongoDB Developer Do's and Don'ts: Navigating Common Pitfalls
Excerpt
However, using MongoDB effectively isn't without its challenges. Various pitfalls can hinder the performance and scalability of your application if not addressed properly. ... … ## Don'ts for MongoDB Developers ### 1. Avoid Overloading a Single Collection **Don't:** Resist the temptation to store all data in a single collection. While MongoDB collections are efficient, managing extremely large collections can lead to performance bottlenecks. **Strategy:** Consider partitioning data into multiple collections or using sharding strategies to distribute data across multiple nodes for better performance. … ### 4. Underestimate Network Latencies **Don't:** Ignore the impact of network latency, particularly for applications running in distributed environments. High latency can lead to significant delays and performance issues. **Solution:** Minimize latency by optimizing your server infrastructure, using geographically distributed datacenters, and employing efficient load-balancing techniques.
Related Pain Points
Severe performance degradation under high transaction volumes
9MongoDB exhibits non-linear performance degradation as data volume increases. Real-world cases show response times deteriorating from 5ms to over 1 second under load, and sharding provides only temporary relief while adding operational complexity. Query performance becomes unacceptable for high-throughput transactional applications.
Network latency impact on distributed MongoDB systems
6High network latency in distributed environments significantly impacts application performance and causes delays. Default timeout settings (30 seconds) are often too long for user experience expectations.