Diagnosis and analysis of database performance-related problems require a very broad IT knowledge base: from storage to host, from operating system to database system to upper-level application system. Professional DBAs are usually helpless when it comes to performance issues when they are traced back to the application side; on the other hand, application operation and maintenance experts often get half the result with twice the effort when they encounter performance problems due to lack of DBA knowledge. The fundamental reason for this is that performance issues involve all aspects from the underlying hardware to the upper-level application system. Optimization experts with rich IT full-stack experience are very scarce. The industry generally believes that a qualified performance optimization expert needs many years of large-scale software development experience and several years of large-scale infrastructure operation and maintenance experience.

When faced with performance issues, most customers usually adopt the least effective method to solve them, that is, by improving hardware performance. However, even so, it is difficult to achieve a qualitative performance improvement. The truly effective method is to conduct a comprehensive analysis and diagnosis from the underlying hardware to the upper-layer application, find out the shortcomings of the performance problem, and improve and improve it based on the existing hardware capabilities, so as to achieve twice the result with half the effort.

Real-time data monitoring, analysis and alarm. Hourly granularity detection strategies and directional group alarm notifications can be freely customized to deal with different scenarios, and data backtracking and output capabilities for any period of time are provided.

At the same time, it provides a variety of API interfaces for external system integration to facilitate integration with existing monitoring and alarm platforms

KTuner provides a one-click diagnostic function. Users only need to click the diagnostic function button to comprehensively analyze and diagnose the target database and output professional analysis conclusions and reports.

The indicators collected by KTuner involve multiple levels such as storage layer, host, network, database, etc., which can conduct comprehensive analysis and diagnosis of the target system and provide highly professional optimization suggestions.

KTuner can run without deploying an Agent program on the target host.

KTuner can run as long as it is connected to the target database IP address. There is no need to install any other database client drivers or plug-ins.

Without manual supervision, KTuner can trace the load of the target database at various points in the past few days and conduct drill-down analysis on the database system, tracing all aspects related to performance from macro to micro, from top to bottom.

KTuner has been fully upgraded to the AI version, which is smarter and more efficient when handling faults. It automatically implements SQL optimization suggestions and rewrites. After processing, a summary report is generated with one click.

The medical and health industry has a large number of concurrent services during peak hours, and core production systems such as HIS often have performance-related problems, which affect patients' medical experience. The solution to such problems usually depends on application vendors such as HIS, but it is difficult for application vendors to deeply analyze the root causes of performance problems from all levels of the IT system. They usually habitually attribute performance problems to insufficient performance of servers, storage and other equipment. Therefore, it is usually difficult to solve performance problems in a timely manner.

KTuner can perform comprehensive analysis and diagnosis from bottom-level applications to upper-level HIS, LIS, electronic medical records and other application systems, thereby identifying the real causes of performance issues and providing performance optimization methods, thereby quickly resolving difficult performance issues and improving patients' medical experience.

There are numerous banking application systems of various categories, and they face a large number of sudden performance-related problems every day. Since the business operation team and the system operation and maintenance team work at different levels, it is difficult for them to consider each other's perspectives when communicating and locating performance problems.

KTuner can effectively eliminate the gap between the two, allowing professional DBAs to have a good understanding of the behavior and logic of upper-level applications and SQL. It can also allow business operation and maintenance personnel to easily achieve the effect of having professional DBA capabilities through KTuner.

In the IT systems of colleges and universities, core systems such as the card, teaching affairs, and finance often face various performance issues. Take the teaching affairs system as an example. It carries all the teaching-related businesses of the whole school, among which the performance of course selection is a common pain point. The course selection of students is similar to the scene of online shopping flash sales. Tens of thousands of people compete for hot courses, and access hot data at the same time. This causes the pressure on the database system to increase exponentially compared to usual times. 

KTuner can conduct a comprehensive analysis, improve the concurrent processing efficiency of the entire database system, reduce contention for hot data, and increase database concurrent throughput, thereby effectively solving the problem of lag during course selection.