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MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This reduction in latency ensures that applications and websites provide a more rapid and responsive user experience. Another highly beneficial caching method is key-value caching.

Tuning 52
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ChatGPT vs. MySQL DBA Challenge

Percona

ChatGPT: The InnoDB buffer pool is used by MySQL to cache frequently accessed data in memory. Since your dataset is 100 GB and you have 500 GB of RAM, you can allocate a significant portion of the available memory to the InnoDB buffer pool. So this answer was inaccurate and evasive. In your sample, the %util values range from 1.30

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Observability vs. monitoring: What’s the difference?

Dynatrace

For example, when monitoring a database, you’ll want to know about any latency when writing data to a disk or average query response time. Examples include a spike in memory utilization, a decrease in cache hit ratio, or an increase in CPU utilization.

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MongoDB Best Practices: Security, Data Modeling, & Schema Design

Percona

Note that the intent of tuning the settings is not exclusively about improving performance but also enhancing the high availability and resilience of the MongoDB database. There is an issue with this, which causes the OS to swap even with memory available. The CFQ works well for many general use cases but lacks latency guarantees.