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readme.md

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

cd /root
rm -rf sreExporter
git clone https://git.sre.ink/go/sreExporter.git
cd sreExporter
CGO_ENABLED=0 GOOS=linux GOARCH=arm64 GO111MODULE=on  go mod tidy
CGO_ENABLED=0 GOOS=linux GOARCH=arm64 GO111MODULE=on  go build -o exporter.bin main.go
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 channel statistics to Prometheus.

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 and has some common code. Any new code here is Copyright © 2020 TeamZero, Inc. See the included LICENSE file for terms and conditions.