关于java应用的监控本系列有文章如下：
【运维监控】influxdb 2.0+telegraf 监控tomcat 8.5运行情况【运维监控】influxdb 2.0+grafana 监控java 虚拟机以及方法耗时情况【运维监控】Prometheus+grafana监控tomcat运行情况【运维监控】Prometheus+grafana监控spring boot 3运行情况
- 本示例是通过telegraf拉取tomcat的监控指标数据到influxdb中，利用influxdb的dashboard模板来监控tomcat的运行情况。
- 本示例使用到的组件均是最新的，下文中会有具体版本说明，linux环境是centos。
- 本示例分为四个部分，即influxdb、telegra、tomcat的部署和三者集成的监控tomcat。
- 本文旨在说明三者如何使用，不涉及各自组件的介绍，如果需要使用到本文的，肯定都有了解。
说明：本示例仅仅是为了展示三者结合使用，故没有考虑集群部署以及实际环境的使用，都部署在server4上，实际的使用则没有这样的要求。telegraf需要收集tomcat的运行指标，则需要一起部署。
该文章太长，故分成2个部分
【运维监控】influxdb 2.0+telegraf 监控tomcat 8.5运行情况（1）【运维监控】influxdb 2.0+telegraf 监控tomcat 8.5运行情况（2）【运维监控】influxdb 2.0+telegraf 监控tomcat 8.5运行情况（完整版）
四、influxdb集成telegraf监控tomcat的运行情况
1、创建dashboard方式介绍
登录http://server4:8086/后选择创建dashboard，如下图所示。
这里创建dashboard有三种方式，即直接创建、导入和添加模板。直接创建就是自己添加cell，自己根据监控的指标进行组织数据和布局；导入模板就是上传json文件或粘贴文件；添加模板则是根据influxdb提供的模板进行添加，本文着重介绍的内容。三种方式的截图依次如下。
2、添加dashboard的模板
添加模板步骤有2步，即选择需要的模板，然后添加URL安装。
在上图中浏览模板社区按钮对应的地址如下：https://github.com/influxdata/community-templates#templates
该链接打开后，包含开源的所有模板，如下图所示。
本示例选择tomcat，如下图所示
点击“tomcat dashboard”对应的链接https://github.com/influxdata/community-templates/tree/master/tomcat后进入下面页面
复制上图红框中对应的链接https://raw.githubusercontent.com/influxdata/community-templates/master/tomcat/tomcat.yml到influxdb中，并填入下图所示的位置
点击“lookup template”，在弹出框中
点击安装，安装完成后，如下图所示。
由上图可以看出模板创建成后，会同时创建名称为tomcat的bucket以及获取指标数据的方式telegraf。
- 以下说明仅供参考，如果按照本文操作顺序，则不需要关注。
导入的dashboard，如果需要bucket和telegraf的，默认是创建好的，但需要自己手动针对bucket添加数据，即setdata，根据需要设置数据。如果是默认telegraf的，则需要如下图所示，创建telegraf的配置文件，最终会生成token和链接，在对应需要监控的机器上执行即可。
3、配置telegraf
在下面页面中找到模板创建的bucket名称，点击add data，如下图所示。
由于模板是通过telegraf拉取数据的，故我们同样需要选择telegraf，如下图所示。
在下面界面选择需要收集的应用，比如本示例的tomcat，如下页面所示。
进入下面页面进行信息配置，比如（此处是最基本的配置，其他配置不再赘述）
influxdb的地址、
org name（就是influxdb初始化填写的那个，也可以通过页面修改或创建新的，视情况而定）、
bucket（此处需要填写和模板对应的bucket名称，不能变化，模板对应的bucket没地方可修改）、
tomcat的指标信息收集地址（参考tomcat配置修改中验证的地址）、
tomcat指标信息访问的用户和密码（参考tomcat配置信息中的users.xml中的配置）
具体如下图所示。
该配置的完整信息如下：
# Configuration for telegraf agent
[agent]
## Default data collection interval for all inputs
interval = "10s"
## Rounds collection interval to 'interval'
## ie, if interval="10s" then always collect on :00, :10, :20, etc.
round_interval = true
## Telegraf will send metrics to outputs in batches of at most
## metric_batch_size metrics.
## This controls the size of writes that Telegraf sends to output plugins.
metric_batch_size = 1000
## Maximum number of unwritten metrics per output. Increasing this value
## allows for longer periods of output downtime without dropping metrics at the
## cost of higher maximum memory usage.
metric_buffer_limit = 10000
## Collection jitter is used to jitter the collection by a random amount.
## Each plugin will sleep for a random time within jitter before collecting.
## This can be used to avoid many plugins querying things like sysfs at the
## same time, which can have a measurable effect on the system.
collection_jitter = "0s"
## Default flushing interval for all outputs. Maximum flush_interval will be
## flush_interval + flush_jitter
flush_interval = "10s"
## Jitter the flush interval by a random amount. This is primarily to avoid
## large write spikes for users running a large number of telegraf instances.
## ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s
flush_jitter = "0s"
## By default or when set to "0s", precision will be set to the same
## timestamp order as the collection interval, with the maximum being 1s.
## ie, when interval = "10s", precision will be "1s"
## when interval = "250ms", precision will be "1ms"
## Precision will NOT be used for service inputs. It is up to each individual
## service input to set the timestamp at the appropriate precision.
## Valid time units are "ns", "us" (or "µs"), "ms", "s".
precision = ""
## Log at debug level.
# debug = false
## Log only error level messages.
# quiet = false
## Log target controls the destination for logs and can be one of "file",
## "stderr" or, on Windows, "eventlog". When set to "file", the output file
## is determined by the "logfile" setting.
# logtarget = "file"
## Name of the file to be logged to when using the "file" logtarget. If set to
## the empty string then logs are written to stderr.
# logfile = ""
## The logfile will be rotated after the time interval specified. When set
## to 0 no time based rotation is performed. Logs are rotated only when
## written to, if there is no log activity rotation may be delayed.
# logfile_rotation_interval = "0d"
## The logfile will be rotated when it becomes larger than the specified
## size. When set to 0 no size based rotation is performed.
# logfile_rotation_max_size = "0MB"
## Maximum number of rotated archives to keep, any older logs are deleted.
## If set to -1, no archives are removed.
# logfile_rotation_max_archives = 5
## Pick a timezone to use when logging or type 'local' for local time.
## Example: America/Chicago
# log_with_timezone = ""
## Override default hostname, if empty use os.Hostname()
hostname = ""
## If set to true, do no set the "host" tag in the telegraf agent.
omit_hostname = false
[[outputs.influxdb_v2]]
## The URLs of the InfluxDB cluster nodes.
##
## Multiple URLs can be specified for a single cluster, only ONE of the
## urls will be written to each interval.
## ex: urls = ["https://us-west-2-1.aws.cloud2.influxdata.com"]
urls = ["http://192.168.10.43:8086"]
## Token for authentication.
token = "$INFLUX_TOKEN"
## Organization is the name of the organization you wish to write to; must exist.
organization = "alanchan_win"
## Destination bucket to write into.
bucket = "tomcat"
## The value of this tag will be used to determine the bucket. If this
## tag is not set the 'bucket' option is used as the default.
# bucket_tag = ""
## If true, the bucket tag will not be added to the metric.
# exclude_bucket_tag = false
## Timeout for HTTP messages.
# timeout = "5s"
## Additional HTTP headers
# http_headers = {"X-Special-Header" = "Special-Value"}
## HTTP Proxy override, if unset values the standard proxy environment
## variables are consulted to determine which proxy, if any, should be used.
# http_proxy = "http://corporate.proxy:3128"
## HTTP User-Agent
# user_agent = "telegraf"
## Content-Encoding for write request body, can be set to "gzip" to
## compress body or "identity" to apply no encoding.
# content_encoding = "gzip"
## Enable or disable uint support for writing uints influxdb 2.0.
# influx_uint_support = false
## Optional TLS Config for use on HTTP connections.
# tls_ca = "/etc/telegraf/ca.pem"
# tls_cert = "/etc/telegraf/cert.pem"
# tls_key = "/etc/telegraf/key.pem"
## Use TLS but skip chain & host verification
# insecure_skip_verify = false
# Gather metrics from the Tomcat server status page.
[[inputs.tomcat]]
## URL of the Tomcat server status
url = "http://server4:8080/manager/status/all?XML=true"
## HTTP Basic Auth Credentials
username = "tomcat"
password = "tomcat"
## Request timeout
# timeout = "5s"
## Optional TLS Config
# tls_ca = "/etc/telegraf/ca.pem"
# tls_cert = "/etc/telegraf/cert.pem"
# tls_key = "/etc/telegraf/key.pem"
## Use TLS but skip chain & host verification
# insecure_skip_verify = false完成以上配置保存即可。
4、获取token以及启动telegraf
完成上面的配置后，可以在下面页面获取token以及启动telegraf对应的链接地址，点击如下图中的“Setup Instructions”点击，如下图所示。
在弹出页面中生成对应的token和telegraf链接，如下图所示。
5、启动telegraf
在部署tomcat的机器上（server4），启动telegraf，操作命令如下
[alanchan@server4 ~]$ export INFLUX_TOKEN=HqBG1S4vRgOvwkBFsYn0Rj4gK3DkYxrUOnozy9PCBqAEG3f_1qHva0suA_ScSYfq-a4U8joQY9UFXbGzkwb1mA==
[alanchan@server4 bin]$ pwd
/usr/local/bigdata/telegraf-1.31.3/usr/bin
[alanchan@server4 bin]$ ll
total 239084
-rwxr-xr-x 1 alanchan root 244813976 Aug 12 22:55 telegraf
[alanchan@server4 bin]$ telegraf --config http://server4:8086/api/v2/telegrafs/0d8f7261276090006、验证influxdb的dashboard
在http://server4:8086中点击dashboard对应的Apache Tomcat对应的dashboard即可，如下图所示。由于作者是运行比较久的情况，所以数据较多，读者刚部署完成，数据量应该没有那么多。当然，读者也可以通过数据探索查看是否将数据拉取过来了。
以上，完成了通过telegraf拉取tomcat的监控指标数据到influxdb中，利用influxdb的dashboard模板来监控tomcat的运行情况。
