You're facing peak usage in your database. How can you maximize performance without causing disruptions?
When your database hits peak usage, it's crucial to enhance performance without causing downtime. Here are key strategies to keep everything running smoothly:
What strategies have you found effective in managing peak database usage?
You're facing peak usage in your database. How can you maximize performance without causing disruptions?
When your database hits peak usage, it's crucial to enhance performance without causing downtime. Here are key strategies to keep everything running smoothly:
What strategies have you found effective in managing peak database usage?
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1. Optimize Query Performance 2. Implement Caching 3. Horizontal and Vertical Scaling 4. Use Connection Pooling 5. Partitioning 6. Optimize Schema Design 7. Throttle Non-Essential Operations 8. Monitor and Adjust Configurations 9. Leverage Database Features 10. Implement Load Balancing 11. Review and Reduce Locking/Blocking
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1. Check the execution plan to identify where it takes time and optimise the query 2. Always create required indexes and remove unwanted indexes. Check the execution plan whether it uses the correct indexes 3. Always select the required columns instead of * 4. Avoid / reduce the usage of nested sub queries and outer joins unless actually required 5. Partition the tables if the volume is huge 6. If you use multiple tables in your query, always use the table aliases in the columns 7. Always write optimised query and follow query tuning steps ....
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In the first step review Execution Plan of slow query Also need a good knowledge of Waiting Events occurred on your database, causes & resolve by their categories, checking indexes , using Advisers tools to investigate and find root causes for Peak, check statistics, IF all of them is OK, then check status of disks and others.
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To optimize database performance, the initial action should involve advanced configurations for memory, MAXDOP (Maximum Degree of Parallelism), indexing, and updating statistics. Additionally, separating the database for the reporting server and making it read-only can help reduce utilization.
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Focus on simple techniques for improving performance: Firstly, do proper indexing and periodically maintain them. Secondly, tune query, check execution plan. Review query store for problematic queries. Thirdly, check for any bottleneck at cpu, memory or disk level. Fourthly, plan for historical data removal from your key tables. Finally, consider data caching at application level.
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