LMP是一个基于BCC(BPF Compiler Collection)的Linux系统性能数据实时展示的web工具，它使用BPF(Berkeley Packet Filters)，也叫eBPF，目前LMP在ubuntu18.04上测试通过，内核版本4.15.0。
- golang：go1.12及以上；
- docker：influxdb、grafana；
- bcc环境
# For grafana
sudo docker pull grafana/grafana
# For Influxdb
sudo docker pull influxdb
git clone https://github.com/linuxkerneltravel/lmp
cd lmp
make
# 项目的所有配置均位于config.yaml中，grafana的默认端口为3000端口，influxdb的默认端口为8086，修改配置信息的方式如下：
vim lmp/config.yaml
#run grafana
sudo docker run -d \
-p 3000:3000 \
--name=grafana \
grafana/grafana
#run influxdb，按照如下命令启动influxdb之后，会自动带有database lmp，influxdb的用户名和密码位于config.yaml中
sudo docker run -d \
-p 8083:8083 \
-p 8086:8086 \
--name influxdb \
-v ${YOUR_PROJECT_PATH}/lmp/test/influxdb_config/default.conf:/etc/influxdb/influxdb.conf \
-v ${YOUR_PROJECT_PATH}/lmp/test/influxdb_config/data:/var/lib/influxdb/data \
-v ${YOUR_PROJECT_PATH}/lmp/test/influxdb_config/meta:/var/lib/influxdb/meta \
-v ${YOUR_PROJECT_PATH}/lmp/test/influxdb_config/wal:/var/lib/influxdb/wal influxdb
#run lmp
cd lmp/
make
sudo ./lmp
在单机节点上部署完成lmp并启动之后，通过浏览器访问8080端口即可。如果是本地查看，则访问localhost:8080，如果远程访问，则访问remoteip:8080即可。
8080端口返回页面如下，该页面仅用于观测指标下发，输入栏输入的是观测时间，单位是分钟。可一次下发多个指标，但是注意实际环境使用bcc的开销问题，建议单个指标下发对比开销之后，再组合多个指标观测。
另外开启grafana页面，通过浏览器访问3000端口即可。如果是本地查看，则访问localhost:3000，如果远程访问，则访问remoteip:3000即可。
grafana用于指标数据观测，进入grafana之后，首先需要登录进入grafana，初始用户名和密码均为admin，之后需要配置grafana连接influxdb：
按照自己的ip地址配置完成以后，点击save&test按钮，测试influxdb是否连接成功，出现如下提示说明连接成功：
接下来导入/lmp/test/grafana-JSON下的lmp.json文件，即可自动创建grafana的dashboard：
在Dashboards中Manage中，点击Import，上传lmp.json文件即可观测：
统计时间到时后，lmp会自动关闭后台bcc插件，之后继续在8080端口页面下发指标即可。
LMP is a web tool for real-time display of Linux system performance data based on BCC (BPF Compiler Collection), which uses BPF (Berkeley Packet Filter), also known as eBPF. Currently, LMP is tested on ubuntu18.04 and the kernel version is 4.15.0.
Expand to view
.
.
├── LICENSE
├── README.md
├── bcctest Hold all test codes, including bcc、influxdb, etc
├── cmd Store LMP pid number after startup
├── config.yaml Project profile
├── controllers Controller layer code stored in CLD layers
├── dao Dao layer code stored in CLD layers
├── logger Zap Log Library Initialization Related Code
├── logic Logic layer code stored in CLD layers
├── main.go
├── makefile
├── middlewares Holds middleware, such as JWT, used in the project
├── models Data structure, such as a user、BpfScan, used in a storage project
├── pkg A third-party library, such as JWT、snowflake, used in a project
├── plugins Storage bcc plugins
├── routes Store initialization routing code
├── settings Hold viper Initialize related code
├── static Hold static HTML files, pictures, etc
├── test Store influxdb initial configuration, files, etc
└── vendor Storage of project dependencies
- golang
- docker
- bcc
# For prometheus
sudo docker pull prom/prometheus
# For grafana
sudo docker pull grafana/grafana
# For Influxdb
sudo docker pull influxdb
git clone https://github.com/linuxkerneltravel/lmp
cd lmp
make
sudo make install
# Modify configuration file
vim lmp/config.yaml
#run grafana
sudo docker run -d \
-p 3000:3000 \
--name=grafana \
-v /opt/grafana-storage:/var/lib/grafana \
grafana/grafana
#run influxdb
sudo docker run -d \
-p 8083:8083 \
-p 8086:8086 \
--name influxdb \
-v ${YOUR_PROJECT_PATH}/lmp/test/influxdb_config/default.conf:/etc/influxdb/influxdb.conf \
-v ${YOUR_PROJECT_PATH}/lmp/test/influxdb_config/data:/var/lib/influxdb/data \
-v ${YOUR_PROJECT_PATH}/lmp/test/influxdb_config/meta:/var/lib/influxdb/meta \
-v ${YOUR_PROJECT_PATH}/lmp/test/influxdb_config/wal:/var/lib/influxdb/wal influxdb
#run lmp
cd lmp/
make
sudo ./lmp
http://localhost:8080/ After logging in to grafana, view it.
make clean
- [Gin] - https://gin-gonic.com/
- [bcc] - https://github.com/iovisor/bcc