Maintenance Plans: - Sweeping Query on Query Store when spike CPU/Memory daily (SQL Server/Azure SQL). - Update Statistics Table Daily. - Rebuild and Reorganize Index Table. - Indexing (from scan to seek, and fix keylookup index), Ensure constant communication with the developers, as some areas can't be adjusted due to business impact concerns. - Shrink Log Data. - Communication with Developer/Bussiness about query slow if from DBA have tuning query (indexing). - Review Columns with nvarchar(max) Data Type, as this type cannot be efficiently indexed and is often not detected as a missing index in query plans.

The delayed maintenance that I have most commonly seen hurting performance is index adjustments. Query patterns change over time because the business needs change. New tables are added and new columns are added to existing tables.This all results in poor performance when indexing no longer aligns well with existing indexes. In this case, reviewing poorly performing queries, existing indexes and missing index requests is the first step. The second step is analyzing query plans alongside indexing information. Third, ensure queries are using good techniques. Fourth, combine missing index requests with existing indexes to account for changing query patterns. Fifth, drop indexes that consistently have more writes than reads.

the issue of the performance is suffering due to delayed maintenance is best solution to maintain daily health check the database. Its will optimize the performance and reduce the slowness and delays.

If you've been neglecting database maintenance and it's running slow, here's how to fix it: Schedule Regular Checks: Set a routine for backups, index maintenance, updating statistics, and reviewing logs. Use automation tools to ensure tasks are performed consistently. Archive Old Data: Analyze and archive or delete outdated data based on retention policies. Automate the archival process to free up resources. Optimize Queries: Regularly review queries, optimize join operations, replace subqueries with joins or CTEs, and ensure proper indexing. Use EXPLAIN to examine execution plans and refine queries. These steps will help restore and boost performance.

SQL Server ships with automated maintenance plans. Automate your schedule tasks: - Backups - Index maintenance - Shrinking - Integrity check etc Thus, you can avoid such performance issue.