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godotg
58 lines
2.1 KiB
Markdown
58 lines
2.1 KiB
Markdown
English | [简体中文](./README_CN.md)
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### Ⅰ. Introduction
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- [monitor](https://github.com/zfoo-project/zfoo/blob/main/storage/README.md) Lightweight cpu, memory, hard disk,
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network monitoring
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### Ⅱ. Use
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- uptime, imitating the uptime command of Linux, can be used to monitor the load of cpu
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```
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UptimeVO uptime = OSUtils.uptime();
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```
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- df, imitating the Linux df command, can be used to monitor the hard disk capacity
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```
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List<DiskFileSystemVO> df = OSUtils.df();
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```
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- free, imitating Linux's free command, can be used to monitor memory usage
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```
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MemoryVO free = OSUtils.free();
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```
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- sar, the sar command imitating Linux, can be used to monitor network IO
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```
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List<SarVO> sar = OSUtils.sar();
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```
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### Ⅲ. Traditional Server Monitoring
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- Traditional stand-alone server monitoring mainly depends on cpu, memory, hard disk, network
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- Distributed server monitoring is mainly to monitor multiple servers, which is not much different from stand-alone
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monitoring.
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```
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It is very simple to write a distributed server monitoring by yourself.
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You only need to collect the main data of the current server every second or minute, and upload it to the database or other servers.
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Use these collected data to analyze performance, make monitoring alarms, make line charts or other visual charts.
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Monitor can be easily collected through static class encapsulation, and then realize its own distributed monitoring program,
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and can be completely embedded in Java programs without additional deployment
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```
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### Ⅲ. Modern Server Monitoring
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- Now that the server is the era of containers, server monitoring has also changed from server monitoring to container
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monitoring
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- Container monitoring is almost an integrated function of the container itself, and even cloud vendors will provide
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monitoring programs and monitoring services for free
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### Ⅳ. Server Monitoring We Can Do
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- Self-customized monitoring is the monitoring that fits your own project, such as implementing a monitoring that
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monitors the number of times the rpc interface is called by yourself
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