How we helped one of our clients with their slow database and an improved performance
Efficiency in Query and Providing a Fluent Performance through Proactive Monitoring.
Requirements
The database used by the client was becoming slower with each passing day making it take long before their applications could run in various regions.
The tables in the databases were now very massive and old information was still present with current data and this took longer time to execute the queries.
The lack of indexes and the presence of old statistics also resulted in inefficient queries and the use of more system load.
Our solution
As a team, we began by critically examining the environment of the client in order to determine the cause of the slowdown.
The query execution plans were examined with the help of EXPLAIN ANALYZE which revealed that the lack of indexes and outdated statistics were significant performance inhibitors.
Correct indexes were also generated and statistics was planned to be updated frequently in order to keep the query performance steady.
Introduced table partitioning to arrange the information on a monthly basis which helped in shortening the query time and also facilitating the process of data management became significantly easier.
Implemented a monitoring and alert system with the help of AWS Monitoring, Grafana, and Percona, as well as custom scripts that automatically delivered performance alerts in a form of a fancy HTML to the DBA team.
Kept on tracking performance once optimized, to make sure that the environment was stable and efficient.
Benefits
The response time of queries was also more than 60 improvements, which led to smoother and quicker application operation.
The system was now more stable without any inexplicable slows downs, even when there was high traffic.
The ability to detect and address possible problems in real-time allowed the DBA team to achieve a stable health of the database.
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