Telegraf和Grafana监控多平台上的SQL Server

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Telegraf和Grafana监控多平台上的SQL Server

优惠券活动 2020-06-02 08:19:00 浏览803
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Telegraf和Grafana监控多平台上的SQL Server

问题
SQL Server在很多企业中部署在多个平台上(Windows,Linux和Container),需要一种能支持多平台的解决方案用于收集和展示相关的监控指标。

我选择企业中比较流行的监控展示工具Grafana和监控指标收集工具Telegraf进行实现。这也是为了方便与企业中已经在存在监控平台进行整合和对接。

如上图所示,Telegraf部署在SQL所在host,收集数据发送给时序数据库Influxdb存储,然后Grafana用于展示数据。

解决方案
安装和配置InfluxDB
我将InfluxDB和Grafana安装在同一台CentOS主机上,生产环境中最好是分开。

下载1.8的stable version后进行安装

wget https://dl.influxdata.com/influxdb/releases/influxdb-1.8.0.x86_64.rpm
chmod 755 influxdb-1.8.0.x86_64.rpm
yum localinstall influxdb-1.8.0.x86_64.rpm

启动并设置自启动

systemctl start influxdb
systemctl enable influxdb

8086用于客户端的HTTP连接,8088用于CLI调用RPC进行备份和还原操作

firewall-cmd --zone=public --add-port=8086/tcp --permanent
firewall-cmd --zone=public --add-port=8088/tcp --permanent
firewall-cmd --reload

连接到influxdb并创建用户

fluxdb

CREATE USER admin WITH PASSWORD '' WITH ALL PRIVILEGES

启用http用户验证,修改influxdb.conf中http section中auth-enabled = true

vim /etc/influxdb/influxdb.conf
systemctl restart influxdb

创建用于存储监控数据的数据库,保存6个月的数据

influx -username 'admin' -password ''

CREATE DATABASE telegraf
CREATE RETENTION POLICY telegraf_6m ON telegraf DURATION 180d REPLICATION 1 DEFAULT
SHOW DATABASES

安装和配置Grafana

下载并安装Grafana

wget https://dl.grafana.com/oss/release/grafana-7.0.1-1.x86_64.rpm
chmod 775 grafana-7.0.1-1.x86_64.rpm
yum localinstall grafana-7.0.1-1.x86_64.rpm

设置自启动

systemctl start grafana-server.service
systemctl enable grafana-server.service

允许Grafana默认的端口3000

firewall-cmd --zone=public --add-port=3000/tcp --permanent
firewall-cmd --reload
然后在Browser中访问http://:3000,第一次访问时默登录认账号和密码都为admin,登录后会提示修改密码。

在客户端主机安装和配置Telegraf
所谓客户端,就是SQL所在主机

Telegraf连接到SQL,需要一个login,具有 VIEW SERVER STATE and VIEW ANY DEFINITION的权限,所以在每个被监控的实例上都需要创建之。

USE master;
GO
CREATE LOGIN [telegraf] WITH PASSWORD = N'1qaz@WSX';
GO
GRANT VIEW SERVER STATE TO [telegraf];
GO
GRANT VIEW ANY DEFINITION TO [telegraf];
GO
Telegraf on Linux
wget https://dl.influxdata.com/telegraf/releases/telegraf-1.14.3-1.x86_64.rpm
sudo yum localinstall telegraf-1.14.3-1.x86_64.rpm
安装完成后,先要修改Telegraf的配置文件,再启动。在配置文件中主要配置两个部分:inputs和outputs。 inputs表示监控数据从哪里来,outputs表示监控要发送到哪里去。

打开/etc/telegraf/telegraf.conf,找到[[outputs.influxdb]]部分,所有配置项默认都被注释了。我们需要删除注释并配置一些项。主要是Influxdb的地址,用户名、密码和数据库名等。

[[outputs.influxdb]]
## The full HTTP or UDP URL for your InfluxDB instance.
##
## Multiple URLs can be specified for a single cluster, only ONE of the
## urls will be written to each interval.
# urls = ["unix:///var/run/influxdb.sock"]
# urls = ["udp://127.0.0.1:8089"]
urls = ["http://172.17.2.4:8086"]

## The target database for metrics; will be created as needed.
## For UDP url endpoint database needs to be configured on server side.
database = "telegraf"

## The value of this tag will be used to determine the database. If this
## tag is not set the 'database' option is used as the default.
# database_tag = ""

## If true, the 'database_tag' will not be included in the written metric.
# exclude_database_tag = false

## If true, no CREATE DATABASE queries will be sent. Set to true when using
## Telegraf with a user without permissions to create databases or when the
## database already exists.
skip_database_creation = true

## Name of existing retention policy to write to. Empty string writes to
## the default retention policy. Only takes effect when using HTTP.
retention_policy = ""

## The value of this tag will be used to determine the retention policy. If this
## tag is not set the 'retention_policy' option is used as the default.
# retention_policy_tag = ""

## If true, the 'retention_policy_tag' will not be included in the written metric.
# exclude_retention_policy_tag = false

## Write consistency (clusters only), can be: "any", "one", "quorum", "all".
## Only takes effect when using HTTP.
write_consistency = "any"

## Timeout for HTTP messages.
timeout = "5s"

## HTTP Basic Auth
username = "admin"
password = ""
找到[[inputs.sqlserver]]部分,取消相关配置项的注释,servers部分连接到本地实例。
Telegraf默认的Plugin中包括了对SQL Server的实现, 这个Plugin还包括了对Azure SQL PaaS的实现

Read metrics from Microsoft SQL Server

[[inputs.sqlserver]]

Specify instances to monitor with a list of connection strings.

All connection parameters are optional.

By default, the host is localhost, listening on default port, TCP 1433.

for Windows, the user is the currently running AD user (SSO).

See https://github.com/denisenkom/go-mssqldb for detailed connection

parameters, in particular, tls connections can be created like so:

"encrypt=true;certificate=;hostNameInCertificate="

    servers = [
                    "Server=localhost;Port=1433;User Id=telegraf;Password=<yourPassword>;app name=telegraf;log=1;"
            ]

Optional parameter, setting this to 2 will use a new version

of the collection queries that break compatibility with the original

dashboards.

    query_version = 2

If you are using AzureDB, setting this to true will gather resource utilization metrics

azuredb = false

Possible queries:

- PerformanceCounters

- WaitStatsCategorized

- DatabaseIO

- DatabaseProperties

- CPUHistory

- DatabaseSize

- DatabaseStats

- MemoryClerk

- VolumeSpace

- PerformanceMetrics

- Schedulers

- AzureDBResourceStats

- AzureDBResourceGovernance

- SqlRequests

- ServerProperties

A list of queries to include. If not specified, all the above listed queries are used.

include_query = []

A list of queries to explicitly ignore.

exclude_query = [ 'Schedulers' , 'SqlRequests']

启动Telegraf之后,可以看到时已经加载的inputs和收集间隔

[root@SQL19N1 log]# systemctl status telegraf
● telegraf.service - The plugin-driven server agent for reporting metrics into InfluxDB
Loaded: loaded (/usr/lib/systemd/system/telegraf.service; enabled; vendor preset: disabled)
Active: active (running) since Tue 2020-05-26 14:19:07 UTC; 19min ago

 Docs: https://github.com/influxdata/telegraf

Main PID: 12359 (telegraf)
CGroup: /system.slice/telegraf.service

       └─12359 /usr/bin/telegraf -config /etc/telegraf/telegraf.conf -config-directory /etc/telegraf/telegraf.d

May 26 14:19:07 SQL19N1 systemd[1]: Started The plugin-driven server agent for reporting metrics into InfluxDB.
May 26 14:19:07 SQL19N1 telegraf[12359]: 2020-05-26T14:19:07Z I! Starting Telegraf 1.14.3
May 26 14:19:07 SQL19N1 telegraf[12359]: 2020-05-26T14:19:07Z I! Loaded inputs: system cpu disk diskio kernel mem processes swap sqlserver
May 26 14:19:07 SQL19N1 telegraf[12359]: 2020-05-26T14:19:07Z I! Loaded aggregators:
May 26 14:19:07 SQL19N1 telegraf[12359]: 2020-05-26T14:19:07Z I! Loaded processors:
May 26 14:19:07 SQL19N1 telegraf[12359]: 2020-05-26T14:19:07Z I! Loaded outputs: influxdb
May 26 14:19:07 SQL19N1 telegraf[12359]: 2020-05-26T14:19:07Z I! Tags enabled: host=SQL19N1
May 26 14:19:07 SQL19N1 telegraf[12359]: 2020-05-26T14:19:07Z I! [agent] Config: Interval:20s, Quiet:false, Hostname:"SQL19N1", Flush Interval:10s
Telegraf on Windows
以管理员身份执行如下PowerShell命令

下载软件

wget https://dl.influxdata.com/telegraf/releases/telegraf-1.14.3_windows_amd64.zip ·

-OutFile "c:\temp\telegraf-1.14.3_windows_amd64.zip"

解压缩到C:Program FilesTelegraf

Expand-Archive "c:temptelegraf-1.14.3_windows_amd64.zip", "C:Program Files"

将telegraf安装为windows服务

C:"Program Files"Telegraftelegraf.exe --service install
修改telegraf.conf中outputs.influxdb和添加inputs.sqlserver部分,这些内容和在Linux上的配置一样,就不赘述了。

conf修改完成后,可以先测试一下telegraf是否能正常启动,没问题的话就启动telegraf服务。

测试

C:"Program Files"Telegraftelegraf.exe --config C:"Program Files"Telegraftelegraf.conf --test

启动服务

C:"Program Files"Telegraftelegraf.exe --service start
配置Grafana的数据源和Dashboard
登录Grafana后,在左侧的Configuration->Data Source中配置InfluxDB数据源,填写地址、账号、密码并设置为默认数据源,如下图

Dashboard,可以自己创建,也可以在采用公开社区的(感谢热心无私的大佬们)。这里,我采用SQL Servers by Jonathan Rioux。这个Dashboard中使用的Piechart不是Grafana预置的,所以还需要安装:

Grafana所在Host安装,重启服务生效

grafana-cli plugins install grafana-piechart-panel
systemctl restart grafana-server.service
然后在Grafana界面,选择左侧的Dashboard->Import->填入Dashboard ID->Import,如下图:

配置完成后的,可以看这个Dashboard提供的信息还比较丰富的,您也可以根据自己的需要修改和添加相关内容.

  

总结
实际情况中,自带的数据收集和报表不能完全满足业务需求,自定义的数据收集和自定义的Dashboard,也是非常容易实现的,下次再写
如果已经在使用Zabbix了,Grafana可以直接对接到Zabbix的数据输出。
Telegraf能非常好的支持Cloud环境,下次说说对Azure SQL PaaS的监控

本文内容仅代表个人观点,与任何公司和组织无关

作者:Joe.TJ

原文地址https://www.cnblogs.com/Joe-T/p/12973362.html

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