Optimizing performance for time series data in MongoDB involves effective indexing strategies and data modeling. Key practices include creating indexes on the timestamp field, using composite indexes, and leveraging time series collections for automatic optimizations. Implementing data retention policies and downsampling can also enhance database performance. Regular monitoring and maintaining lightweight documents further improve efficiency.