<ul><li>Database performance is influenced by several critical factors including item properties, operational factors, scale factors, and availability.</li><li>Different workload types create unique challenges for database performance, including write-heavy, read-heavy, delete-heavy, and mixed workloads.</li><li>Denormalization is a strategy to improve read performance by reducing the number of table joins needed.</li><li>Database locking process ensures data consistency during concurrent operations by managing lock acquisition and lock management.</li><li>Replication architecture provides scalability and reliability through leader and follower nodes.</li><li>Sharding strategy distributes data across multiple databases using shard router and individual shards.</li><li>Database indexing optimizes data retrieval using B-Tree structure and index management.</li><li>Practical implementation considerations include performance monitoring, optimization selection, trade-off analysis, and future planning.</li></ul>

Database Performance Strategies

Discover more