A Complete Solution to PostgreSQL Performance Bottlenecks
PostgreSQL database performance problems are often caused by multiple factors, and Xata Agent provides a systematic solution:
- Problem orientationReal-time monitoring module to check key metrics such as CPU utilization, memory usage, and I/O latency to locate performance bottlenecks at the hierarchical level.
- Slow Query Analysis: In the slow query interface, the tool automatically identifies SQL statements that are executing inefficiently and provides index optimization suggestions (e.g., missing B-tree or GIN indexes) and query refactoring solutions.
- Resource optimization: According to the parameter recommendations to adjust shared_buffers, work_mem and other core configuration values, typical scenarios can be set shared_buffers for 25% available memory, work_mem according to the number of concurrent connections to enhance the appropriate
- lock competition handling (computing): The diagnostic page will show lock wait conditions, which are recommended to be mitigated by adjusting the transaction isolation level or splitting long transactions
For AWS users, Cloudwatch integration can be enabled to obtain more detailed cloud service layer metrics, which can be combined with Xata Agent analytics for end-to-end optimization.
This answer comes from the articleXata Agent: An AI Assistant for Monitoring and Optimizing PostgreSQL Databases》
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