Performance monitoring type
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Redis
Redis monitoring solution offers a range of capabilities, enabling the tracking of used memory, the count of connected clients, the number of expired and hit keys, as well as analysis of Redis slow logs, employing various monitoring techniques.
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Nginx
The Nginx monitoring service enables direct oversight of Nginx performance through link information, providing a graphical representation of user connections and the fluctuation of active connections over time.
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JVM
The JVM process monitoring service allows for direct oversight of the JVM process via link information, enabling a more nuanced analysis of the process. It includes a range of detailed monitoring and analysis operations such as: 1. Thread statistical analysis, 2. Method execution analysis, 3. Command line mode analysis.
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Mysql
The MySQL slow log monitoring service offers a comprehensive analysis of slow SQL queries, providing insights into performance bottlenecks. It includes detailed monitoring and analysis of MySQL counters.
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JMX
JMX offers non-intrusive monitoring for Java processes, including thread activity, metaspace, class loading, heap memory, and CPU usage, with specialized monitoring for processes like Tomcat.
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Server
We provide robust server monitoring that includes CPU, memory, and a detailed overview of the operating system, alongside network and hard disk monitoring capabilities. The frequency of monitoring can be customized, and our service is compatible with platforms like Windows, Linux, Loongson, Qilin, and more.
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Oracle
Oracle monitoring offers the capability to selectively monitor counter metrics, along with performing statistical analysis on SQL statement execution.
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Docker
Docker monitoring in our system encompasses resource monitoring, container information, and image analysis, with a specific focus on service monitoring for applications like Java processes, MySQL, and Nginx within Docker containers.
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microservices
Our microservice monitoring solution includes log enhancement capabilities, tracks microservice link calls and detects losses, all with zero intrusion to the codebase, compatible with Springboot integrated with Dubbo, Dubbox, or Spring Cloud.
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K8s
K8s monitoring in our system includes comprehensive node monitoring, detailed Pod monitoring, and application service monitoring, focusing on critical metrics such as memory usage, CPU load, and network I/O within the K8s environment.
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Alarm threshold
Monitoring Alert supports notifications via email and SMS, allowing users to select specific counters and set custom alarm thresholds for proactive monitoring.
