# promethus exportor
https://blog.csdn.net/wanger5354/article/details/120211773

https://github.com/teamzerolabs/mirth_channel_exporter

https://cloud.tencent.com/developer/article/1744817

https://blog.csdn.net/weixin_45413603/article/details/107024467

https://medium.com/teamzerolabs/15-steps-to-write-an-application-prometheus-exporter-in-go-9746b4520e26

# build on arm64
```bash
cd /root
rm -rf sreExporter
git clone https://git.sre.ink/go/sreExporter.git
cd sreExporter
make arm
docker build -t sre/exporter:arm64 .
kubectl rollout restart deployment -n kuboard sre-exporter
```


# Prometheus的基本指标类型
1、 Counter：只增不减的累加指标

Counter就是一个计数器，表示一种累积型指标，该指标只能单调递增或在重新启动时重置为零，例如，您可以使用计数器来表示所服务的请求数，已完成的任务或错误。

2、 Gauge：可增可减的测量指标

Gauge是最简单的度量类型，只有一个简单的返回值，可增可减，也可以set为指定的值。所以Gauge通常用于反映当前状态，比如当前温度或当前内存使用情况；当然也可以用于“可增加可减少”的计数指标。

3、Histogram：自带buckets区间用于统计分布的直方图

Histogram主要用于在设定的分布范围内(Buckets)记录大小或者次数。

例如http请求响应时间：0-100ms、100-200ms、200-300ms、>300ms 的分布情况，Histogram会自动创建3个指标，分别为：

事件发送的总次数：比如当前一共发生了2次http请求
所有事件产生值的大小的总和：比如发生的2次http请求总的响应时间为150ms
事件产生的值分布在bucket中的次数：比如响应时间0-100ms的请求1次，100-200ms的请求1次，其他的0次
4、Summary：数据分布统计图

Summary和Histogram类似，都可以统计事件发生的次数或者大小，以及其分布情况。

Summary和Histogram都提供了对于事件的计数_count以及值的汇总_sum，因此使用_count,和_sum时间序列可以计算出相同的内容。

同时Summary和Histogram都可以计算和统计样本的分布情况，比如中位数，n分位数等等。不同在于Histogram可以通过histogram_quantile函数在服务器端计算分位数。 而Sumamry的分位数则是直接在客户端进行定义。因此对于分位数的计算。 Summary在通过PromQL进行查询时有更好的性能表现，而Histogram则会消耗更多的资源。相对的对于客户端而言Histogram消耗的资源更少。

# 视频讲解如何开发exporter
链接: https://pan.baidu.com/s/1I_eoqypKl6Pw7R3Ai5m0sQ 密码: cs75

go build
./mirth_channel_exporter [flags]


http://127.0.0.1:9101/metrics
[]: # Language: markdown
[]: # Path: readme.md   

# Mirth Channel Exporter

Export [Mirth Connect](https://en.wikipedia.org/wiki/Mirth_Connect) channel
statistics to [Prometheus](https://prometheus.io).

Metrics are retrieved using the Mirth Connect REST API. This has only been tested
with Mirth Connect 3.7.1, and it should work with version after 3.7.1.

To run it:

    go build
    ./mirth_channel_exporter [flags]

## Exported Metrics
| Metric | Description | Labels |
| ------ | ------- | ------ |
| mirth_up | Was the last Mirth CLI query successful | |
| mirth_messages_received_total | How many messages have been received | channel |
| mirth_messages_filtered_total  | How many messages have been filtered | channel |
| mirth_messages_queued | How many messages are currently queued | channel |
| mirth_messages_sent_total  | How many messages have been sent | channel |
| mirth_messages_errored_total  | How many messages have errored | channel |

## Flags
    ./mirth_channel_exporter --help

| Flag | Description | Default |
| ---- | ----------- | ------- |
| log.level | Logging level | `info` |
| web.listen-address | Address to listen on for telemetry | `:9141` |
| web.telemetry-path | Path under which to expose metrics | `/metrics` |
| config.file-path | Optional environment file path | `None` |

## Env Variables

Use a .env file in the local folder, /etc/sysconfig/mirth_channel_exporter, or
use the --config.file-path command line flag to provide a path to your
environment file
```
MIRTH_ENDPOINT=https://mirth-connect.yourcompane.com
MIRTH_USERNAME=admin
MIRTH_PASSWORD=admin
```

## Notice

This exporter is inspired by the [consul_exporter](https://github.com/prometheus/consul_exporter)
and has some common code. Any new code here is Copyright © 2020 TeamZero, Inc. See the included
LICENSE file for terms and conditions.