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It can be applied to all applications that run in the JVM environment such as WAS and batch applications.

Asynchronous transaction analysis allows you to analyze single-threaded flows every 10 seconds to find bottlenecks or error records.

It is applicable to PHP 8.3 and Alpine Linux. SQL, HTTP calls, and Redis calls on the trace can be viewed.

It can be applied to major applications such as web frameworks, servers, and batches, and can identify delay sections by tracing DB queries and external calls.

It monitors .NET-based IIS, console, services, and Windows applications that support .NET Framework 4.5.

The Go API allows you to trace web requests and response transactions, general unit transactions, SQLs, HTTP calls, and more in the Go applications.

It is applicable to physical servers, clouds, and scale-out environments, and supports monitoring and inventory management for large-scale resources and high-use, high-risk resources.

You can see Kubernetes clusters, nodes, applications, and logs at a glance.

You can monitor performance metrics and SQLs, locks, and slow SQLs, and analyze and compare trends.

You can monitor performance metrics and SQLs, locks, and parallel query data, and analyze and compare trends.

You can monitor performance data up to tens of times per second without any load by directly accessing the memory of the database server.

You can monitor MySQLs, MariaDBs, performance metrics, SQLs, locks, and slow SQLs, and analyze and compare trends.

You can monitor performance metrics and SQLs and locks, and analyze and compare trends.

You can monitor performance metrics and SQLs, locks, and parallel query data, and analyze and compare trends.

You can monitor performance metrics and SQLs, locks, and parallel query data, and analyze and compare trends.

You can monitor performance metrics and SQLs, locks, and parallel query data, and analyze and compare trends.

You can monitor performance metrics, and analyze and compare trends.

You can monitor performance metrics, and analyze and compare trends.

From the perspective of end users for running sites, the system can automatically detect connection issues with HTTP status codes.

It monitors and analyzes the performance of end-user interactions with the browser applications.

It retrieves and stores metrics periodically via the Amazon CloudWatch API.

It collects the resource usage for each docker container via the META API and cgroup directory.

It collects and stores the logs generated from AWS resources and stored in AWS S3 and AWS CloudWatch Log Group.

It retrieves and stores metrics periodically via the Azure Monitor API.

It periodically retrieves and stores metrics through the Naver Cloud Monitoring API.

It retrieves and stores metrics periodically via the Oracle Cloud Monitor API.

By visualizing network communication information of the process, performance analysis and fault identification are possible.

It provides an optimized monitoring solution by repackaging existing monitoring products to fit the software to monitor.