What is Releem?
Database performance management was a major pain point for developers: sifting through endless metrics and alerts, calculating variables, dealing with tons of documentation, query optimization, and index management.
Releem is an AI-powered MySQL performance monitoring tool that helps keep database servers fast, secure and reliable.
According to the vendor, its features beyond database performance monitoring and management include:
๐ Quick and simple to use with all the metrics displayed on one page
๐ Adaptive configuration tuning
๐ฏ Automatic SQL query optimization
๐ค Rapid identification of slow queries
๐ก๏ธ All databases data is safe, Releem Agent doesnโt use data from databases
๐ Releem supported all versions of MySQL, MariaDB, and Percona, whether installed on-premise or on AWS RDS
๐ Open-source Releem Agent with the code available on GitHub
Releem simplified MySQL performance monitoring and management on thousands database servers for more than 5000 users. Its users are developers, startups and hosting companies.
The primary use-cases are:
- MySQL Monitoring & Observability
- MySQL Performance Tuning
- SQL Query Optimization
- Index Management
- MySQL Configuration Tuning
- Database Management
Releem is an AI-powered MySQL performance monitoring tool that helps keep database servers fast, secure and reliable.
According to the vendor, its features beyond database performance monitoring and management include:
๐ Quick and simple to use with all the metrics displayed on one page
๐ Adaptive configuration tuning
๐ฏ Automatic SQL query optimization
๐ค Rapid identification of slow queries
๐ก๏ธ All databases data is safe, Releem Agent doesnโt use data from databases
๐ Releem supported all versions of MySQL, MariaDB, and Percona, whether installed on-premise or on AWS RDS
๐ Open-source Releem Agent with the code available on GitHub
Releem simplified MySQL performance monitoring and management on thousands database servers for more than 5000 users. Its users are developers, startups and hosting companies.
The primary use-cases are:
- MySQL Monitoring & Observability
- MySQL Performance Tuning
- SQL Query Optimization
- Index Management
- MySQL Configuration Tuning
- Database Management
Categories & Use Cases
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