awesome-mysql-performance
dev-example-nosql-listener
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awesome-mysql-performance | dev-example-nosql-listener | |
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awesome-mysql-performance
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How MySQL Tuning Can Dramatically Improve WordPress Performance
To tune manually, you could start with the following links: 1. MySQL Health Checks https://releem.com/blog/mysql-health-checks 2. Documentation on how to tune parameters: - https://releem.com/docs/getstarted - https://releem.com/docs/mysql-performance-parameters 3. Curated list of awesome links related to MySQL Performance Tuning https://github.com/Releem/awesome-mysql-performance
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Java and MySQL Performance Considerations
Hey, We've published github repo on MySQL Performance Tuning https://github.com/Releem/awesome-mysql-performance , hope it'll be helpful to you.
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MySQL high cpu usage over 600%-700%
Try to use MySQLTuner script to get recommendations and create my.cnf manually.We've created a curated list of awesome links related to MySQL / MariaDB / Percona configuration tuning: https://github.com/Releem/awesome-mysql-performance
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Is there any tool that allows you to check what db settings can be optimized in a server?
But the best tool is understanding how the different part of the system and usage affects performance, and decide how to proceed based on information that might or not be in the database server itself. There are optimizations that go to hardware, OS, replication, database structure/indexes, frequently done queries, and probably more. And you need to take into account that the database and the system around it is not static, in particular how you use it, so some in production monitoring may be helpful. There are plenty of articles and presentations that tells you which variables and settings you should focus on depending on how you use the db (this could be an starting list), do some frequent queries analysis, and even use some good mysql monitoring like PMM that could give you more hints.
- 🔥 A curated list of awesome links related to MySQL configuration performance tuning
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🔥 A curated list of awesome links related to MySQL Configuration Tuning
We have collected an amazing list of articles and resources that are related to MySQL configuration performance tuning.
- 🔥 A curated list of awesome links related to MySQL performance tuning
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MySQL Configuration Performance Tuning Workflow
There are an array of resources available to learn about MySQL configuration. MySQL has hundreds of configuration options, but for many server needs, only a handful are critical. The tuning will vary depending on workload and hardware, but DBAs that familiarize themselves with best practices (for their specific version of MySQL) will better be able to understand and solve performance issues. Releem has collected an amazing list of articles and resources that are related to MySQL / MariaDB / Percona configuration.
dev-example-nosql-listener
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A truly open-source MongoDB alternative
That demo repo https://github.com/MangoDB-io/example is forked from https://github.com/mariadb-corporation/dev-example-nosql-lis... which "allows a MariaDB server or cluster to be used as the backend of an application using a MongoDB client library".
What are some alternatives?
sql-injection-payload-list - 🎯 SQL Injection Payload List
py-tpcc - MongoDB Adaptation of PyTPCC
MySQLTuner-perl - MySQLTuner is a script written in Perl that will assist you with your MySQL configuration and make recommendations for increased performance and stability.
fdb-document-layer - A document data model on FoundationDB, implementing MongoDB® wire protocol
tuning-primer.sh - MySQL Tuning-Primer.sh, updated and improved
mongolike - A proof of concept MongoDB clone built on Postgres
mysqlconfigurer - Releem is a simple MySQL tuning tool to improve database performance and reduce servers costs.
Rating-System - A product rating system using MongoDB and Node.js
MariaDB4j - MariaDB Embedded in Java JAR
strato-db - MaybeSQL in SQLite: Best of both worlds
lnmp - LEMP stack/LAMP stack/LNMP stack installation scripts for CentOS/Redhat Debian and Ubuntu
mosql - MongoDB → PostgreSQL streaming replication