[Enhancement] Optimize MongoDB Framework Performance

[wtt]

Description:
We are currently experiencing performance bottlenecks with our MongoDB framework implementation. To enhance our database operations and ensure scalability, we propose several optimization strategies.

Current Status:

The MongoDB framework is exhibiting slower response times under high-load conditions.
Query performance is not meeting the expected benchmarks.
Proposed Optimizations:

1.Indexing Strategy: Review and potentially refactor the indexing strategy to improve query performance.
2.Sharding: Implement sharding to distribute the dataset and improve horizontal scalability.
3.Caching: Introduce a caching layer to reduce database read operations for frequently accessed data.
4.Data Modeling: Reevaluate our data models to ensure they are optimized for the types of queries we are performing.
5.Connection Pooling: Optimize or increase the connection pooling to handle more concurrent operations efficiently.
Benefits:

Improved response times and throughput.
Better utilization of hardware resources.
Enhanced user experience due to faster load times.
Risks:

Downtime during the implementation of new strategies.
Potential need for additional hardware resources for sharding and caching solutions.
Action Items:

Conduct a thorough performance audit of the current MongoDB setup.
Develop a detailed optimization plan including specific strategies and timelines.
Allocate resources for the implementation and monitoring of the optimization strategies.
Acceptance Criteria:

Response times return to acceptable levels under similar load conditions as experienced previously.
Successful implementation of proposed optimizations without introducing new issues.