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

Percona

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? A finely tuned database processes queries more efficiently, leading to swifter results.

Tuning 52
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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

RedisĀ® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health.

Metrics 130
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Tuning SQL Server Reporting Services

SQL Performance

Many database administrators find themselves having to support instances of SQL Server Reporting Services (SSRS), or at least the backend databases that are required for SSRS. These topics apply to both SQL Server Reporting Services as well as Power BI Report Server.

Tuning 67
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Mastering MongoDBĀ® Timeout Settings

Scalegrid

How the MongoDB timeout is set up can significantly affect your applicationā€™s performance, no matter if you are an experienced MongoDB user or just starting with NoSQL databases. Typical applications are interacting with different database servers based on the business logic.

Java 130
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Best Practice for Creating Indexes on your MySQL Tables

Scalegrid

There will be a short duration (tens of seconds) during which you will lose connectivity to your database due to the failover, but this can be overcome by having application-level retries. 95th Percentile Latency. The 95th percentile latency of queries was also 1.8 The 95th percentile latency of queries was also 1.8

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Save Money in AWS RDS: Donā€™t Trust the Defaults

Percona

I’ll show you some MySQL settings to tune to get better performance, and cost savings, with AWS RDS. After some time of receiving these messages, eventually, they hit performance issues to the point that the server becomes unresponsive for a few minutes. This was exactly what was happening on this server.

AWS 125
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Characterizing, modeling, and benchmarking RocksDB key-value workloads at Facebook

The Morning Paper

The paper examines three different uses of RocksDB at Facebook: UDB , the underlying storage engine for the MySQL databases storing the social graph data. All cache read misses and all writes go through UDB servers, with SQL queries being converted into RocksDB queries. For one representative UDB server, about 10.2 Query volume.