Scenes
Actuator is integrated in SpringBoot to monitor the running status of the system:
Integrating Actuator in SpringBoot to monitor the running status of the system
Based on the above Actuator to realize system monitoring, the following solutions can also be adopted.
Prometheus
Prometheus is an open source toolkit for system monitoring and alerting, which uses the Pull method to collect time-series measurement data (also supports the push method),
Transmission through Http protocol. The way it works is that the service being monitored needs to expose a Prometheus endpoint, which is an HTTP interface,
This interface exposes the list of metrics and current values, and then the Prometheus application regularly pulls data from this interface, which can generally be stored in a time series database.
Then display the data through the visualized Dashboard (egGrafana).
Grafana
Grafana is an open source dashboard display tool that can support many mainstream data sources, including sequential and non-sequential.
The display configuration and scalability it provides meet most of the time series data display needs, and it is an excellent tool.
Note:
Blog:
Domineering Rogue Temperament_C#, Architecture Road, SpringBoot-CSDN Blog
accomplish
1. Create a new SpringBoot project and add dependencies
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
<!-- prometheus support -->
<dependency>
<groupId>io.micrometer</groupId>
<artifactId>micrometer-registry-prometheus</artifactId>
</dependency>2. Modify the yml file and add the following configuration
management:
metrics:
export:
prometheus:
enabled: true
step: 1m
descriptions: true
web:
server:
auto-time-requests: true
endpoints:
prometheus:
id: springmetrics
web:
exposure:
include: health,info,env,prometheus,metrics,httptrace,threaddump,heapdump,springmetrics
# 开发环境配置
server:
# 服务器的HTTP端口，默认为8080
port: 996
servlet:
# 应用的访问路径
context-path: /
tomcat:
# tomcat的URI编码
uri-encoding: UTF-8
# tomcat最大线程数，默认为200
max-threads: 800
# Tomcat启动初始化的线程数，默认值25
min-spare-threads: 30Note that the port configured here is 996
3. Start the project and visit
http://127.0.0.1:996/actuator/prometheus
That is, you can see the exposed information
4. Download and install Prometheus
download link:
This is on windows, so choose the zip package corresponding to windows
Of course, there are other ways to download and install, such as docker.
If the official website cannot be downloaded for a long time, you can search for the corresponding windows package from the Internet to download and decompress it.
After decompression, find prometheus.yml and modify the metrics_path in the configuration file to the corresponding path and targets to the corresponding ip and port.
For more configuration instructions, refer to the official documentation
https://github.com/prometheus/prometheus/blob/main/documentation/examples/prometheus.yml
After modifying the configuration file, double-click prometheus.exe to start, then wait for the startup to succeed and access the default port 9090
Enter in Expression
jvm_memory_used_bytesThen check the monitoring effect
5. Download and install Grafana
download link:
After downloading and decompressing, find grafana-server.exe under the bin and double-click to start
Access after successful startup
The default account is admin, and the password is also admin
6. After logging in and being prompted to change the password, click DATA SOURCES
Then add the data source type as Prometheus
Enter the corresponding address started above
7. Click on the upper right corner to create a New dashboard
Then click Add visualization
Then select the data source you just added
Then select a parameter such as jvm_buffer_count_buffers below, and set other parameters according to your needs, save and view.
