Lepus is a database enterprise monitoring system. It is a professional and powerful enterprise database monitoring and management system developed for Internet enterprises. Enterprises can use Lepus to comprehensively monitor the real-time health and various performance indicators of the database. Currently, it supports comprehensive monitoring of MySQL, Oracle, MongoDB, and Redis databases. When a database fails or has potential performance problems, Lepus can promptly alert database anomalies according to user settings and notify the database administrator for processing and optimization, helping enterprises solve problems. Database performance monitoring issues, timely discovery of performance and bottlenecks, and avoid direct economic losses caused by potential database problems. Lepus can view various real-time performance status indicators, perform statistical analysis on monitoring and performance data, and view relevant reports from multiple perspectives from operators to decision makers. Help decision makers better plan for future database capacity, thereby reducing hardware costs.
Lepus is a real tool that can help enterprises solve database monitoring and operation and maintenance problems. It can mainly help enterprises solve the following problems
1. Help enterprises solve database performance monitoring problems, promptly discover performance and bottlenecks, and avoid direct economic losses caused by potential database problems.
"Lepus Database Enterprise Monitoring System" is a professional and powerful enterprise database monitoring and management system developed for Internet companies. Through Lepus, enterprises can conduct comprehensive monitoring of the real-time health and various performance indicators of the database. Currently, it supports comprehensive monitoring of MySQL, Oracle, MongoDB, and Redis databases. Lepus can set thresholds based on users when there are failures or potential performance problems such as database inability to connect, number of sessions, number of processes, waiting events, synchronization, delays, etc. Notify the database administrator of database anomalies in a timely manner for processing and optimization to avoid direct economic losses caused by database failures or performance bottlenecks.
2. Help enterprise operation and maintenance leaders and decision-makers to better coordinate database capacity resources and reduce enterprise hardware costs.
Lepus uses columnar format to present monitoring indicators, which is suitable for the monitoring and management of large-scale databases of medium and large Internet companies. Through the WEB interface, enterprise operation and maintenance personnel and decision-makers can compare the database performance and system resource usage monitored by any number of hosts or all hosts, and provide the function of sorting database performance resources by different dimensions, as well as the system resource Top information chart to help Decision makers can better discover which databases have high performance overhead and which ones are relatively idle. They can view relevant reports from multiple perspectives from operators to decision makers. Help decision makers better plan for future database capacity, thereby reducing hardware costs.
3. Help enterprise DBA operation and maintenance personnel solve repetitive and boring work and improve the work efficiency of operation and maintenance personnel
Facing several or even hundreds of database servers, if there is no unified basic information of the database, the database operation and maintenance management will become disordered. If you want to know the basic health status information of the database, you need to log in to the database or log in to the server. Repetitive work can easily make people tired and tired. Lepus provides the collection of basic data indicators of the database, such as database, running time, basic health status, core configuration parameters and other basic data. With these basic data, you can centrally query through the system without logging in to the machine, reducing the duplication of DBA operation and maintenance personnel. Sex work and boring typing jobs.
4. Slow query push and AWR performance reports reduce communication costs for database operation and maintenance personnel and developers.
Lepus has innovative MySQL slow query analysis, TopSQL automatic push, and MySQL AWR performance reporting functions based on time range. It breaks the conventional inefficiency of database managers passively contacting developers to solve SQL problems. Lepus will regularly collect slow SQL statements that affect the stability of the database, and regularly push the Top SQL statements with the most queries and the longest query time to relevant developers based on planned tasks. Developers can also independently query slow SQL statements at any time with limited permissions. . You can also query the database performance issues and bottlenecks at any time in the database history through the online AWR performance report function. Reduce communication costs between database operation and maintenance personnel and developers.