??? Regular Maintenance Schedule Establish a consistent maintenance schedule that includes tasks like backups, index optimization, and data purging to keep your database running smoothly. ?? Analyze Query Performance Use query performance analysis tools to identify slow-running queries. Optimize them by restructuring, adding indexes, or using query caching to reduce load times. ?? Automate Routine Tasks Implement automation tools to handle repetitive maintenance tasks, such as database health checks and backups. This frees up time for more strategic initiatives. ?? Clean Up Unused Data Periodically review and clean up unused data and obsolete indexes. Reducing unnecessary data improves performance and makes your database more efficient.

Keep your eye on INDEX Fragmentation as it impacts on IO. - Rebuild/Reorganize Index when required. Choose appropriate Fill factor. Check statistics which is used for producing query plan. - Create/Update statistics if necessary.

?? Monitor Tools: Use monitoring tools to identify problematic sessions. ?? Automate Index Rebuilds: Schedule index rebuilds, stats gathering, backups, and optimizations during off-peak hours. ?? Tune DB Parameters: Adjust DB parameters based on load and health checks. ?? Team Collaboration: Involve cross-functional teams to apply quick fixes and work on permanent solutions. ??? Automate & Schedule: Automate load-heavy tasks to maintain performance and prevent recurring issues.

Consider adjusting transaction isolation levels to reduce lock contention, allowing more queries to run concurrently. Long-running transactions can hold locks, leading to contention. Optimize transactions to complete as quickly as possible. Continuously monitor performance metrics such as I/O, CPU, and memory usage. Performance tools can help identify bottlenecks in real-time. Move older, less frequently accessed data to separate storage to reduce the load on active tables.