目录
输入和输出集成概述
Tail Telegraf 插件通过跟踪指定的日志文件来收集指标,实时捕获新的日志条目以进行进一步分析。
此输出插件通过 HTTP 将指标从 Telegraf 直接流式传输到 ServiceNow MID Server,利用 nowmetric 序列化器实现与 ServiceNow 的 Operational Intelligence 和 Event Management 的高效集成。
集成详情
Tail
tail 插件旨在持续监控和解析日志文件,使其成为实时日志分析和监控的理想选择。 它模仿 Unix tail 命令的功能,允许用户指定文件或模式,并在添加新行时开始读取。 主要功能包括跟踪日志轮换文件、从文件末尾开始读取以及支持日志消息的各种解析格式。 用户可以通过各种配置选项自定义插件,例如指定文件编码、监视文件更新的方法以及处理日志数据的过滤器设置。 在日志数据对于监控应用程序性能和诊断问题至关重要的环境中,此插件尤其有价值。
ServiceNow
Telegraf 可用于将指标数据直接发送到 ServiceNow MID Server REST 端点。 指标可以使用 ServiceNow 的 Operational Intelligence (OI) 格式或 JSONv2 格式进行格式化,从而实现与 ServiceNow 的 Event Management 和 Operational Intelligence 平台的无缝集成。 序列化器有效地批量处理指标,通过最小化 HTTP POST 请求的数量来减少网络开销。 此集成允许用户在 ServiceNow 中快速利用指标,以增强可观察性、主动事件管理和性能监控,并利用 ServiceNow 的运营智能功能。
配置
Tail
[[inputs.tail]]
## File names or a pattern to tail.
## These accept standard unix glob matching rules, but with the addition of
## ** as a "super asterisk". ie:
## "/var/log/**.log" -> recursively find all .log files in /var/log
## "/var/log/*/*.log" -> find all .log files with a parent dir in /var/log
## "/var/log/apache.log" -> just tail the apache log file
## "/var/log/log[!1-2]* -> tail files without 1-2
## "/var/log/log[^1-2]* -> identical behavior as above
## See https://github.com/gobwas/glob for more examples
##
files = ["/var/mymetrics.out"]
## Read file from beginning.
# from_beginning = false
## Whether file is a named pipe
# pipe = false
## Method used to watch for file updates. Can be either "inotify" or "poll".
## inotify is supported on linux, *bsd, and macOS, while Windows requires
## using poll. Poll checks for changes every 250ms.
# watch_method = "inotify"
## Maximum lines of the file to process that have not yet be written by the
## output. For best throughput set based on the number of metrics on each
## line and the size of the output's metric_batch_size.
# max_undelivered_lines = 1000
## Character encoding to use when interpreting the file contents. Invalid
## characters are replaced using the unicode replacement character. When set
## to the empty string the data is not decoded to text.
## ex: character_encoding = "utf-8"
## character_encoding = "utf-16le"
## character_encoding = "utf-16be"
## character_encoding = ""
# character_encoding = ""
## Data format to consume.
## Each data format has its own unique set of configuration options, read
## more about them here:
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
data_format = "influx"
## Set the tag that will contain the path of the tailed file. If you don't want this tag, set it to an empty string.
# path_tag = "path"
## Filters to apply to files before generating metrics
## "ansi_color" removes ANSI colors
# filters = []
## multiline parser/codec
## https://elastic.ac.cn/guide/en/logstash/2.4/plugins-filters-multiline.html
#[inputs.tail.multiline]
## The pattern should be a regexp which matches what you believe to be an indicator that the field is part of an event consisting of multiple lines of log data.
#pattern = "^\s"
## The field's value must be previous or next and indicates the relation to the
## multi-line event.
#match_which_line = "previous"
## The invert_match can be true or false (defaults to false).
## If true, a message not matching the pattern will constitute a match of the multiline filter and the what will be applied. (vice-versa is also true)
#invert_match = false
## The handling method for quoted text (defaults to 'ignore').
## The following methods are available:
## ignore -- do not consider quotation (default)
## single-quotes -- consider text quoted by single quotes (')
## double-quotes -- consider text quoted by double quotes (")
## backticks -- consider text quoted by backticks (`)
## When handling quotes, escaped quotes (e.g. \") are handled correctly.
#quotation = "ignore"
## The preserve_newline option can be true or false (defaults to false).
## If true, the newline character is preserved for multiline elements,
## this is useful to preserve message-structure e.g. for logging outputs.
#preserve_newline = false
#After the specified timeout, this plugin sends the multiline event even if no new pattern is found to start a new event. The default is 5s.
#timeout = 5s
ServiceNow
[[outputs.http]]
## ServiceNow MID Server metrics endpoint
url = "http://mid-server.example.com:9082/api/mid/sa/metrics"
## HTTP request method
method = "POST"
## Basic Authentication credentials
username = "evt.integration"
password = "P@$$w0rd!"
## Data serialization format for ServiceNow
data_format = "nowmetric"
## Metric format type: "oi" (default) or "jsonv2"
nowmetric_format = "oi"
## HTTP Headers
[outputs.http.headers]
Content-Type = "application/json"
Accept = "application/json"
## Optional timeout
# timeout = "5s"
## TLS configuration options
# tls_ca = "/etc/telegraf/ca.pem"
# tls_cert = "/etc/telegraf/cert.pem"
# tls_key = "/etc/telegraf/key.pem"
# insecure_skip_verify = false
输入和输出集成示例
Tail
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实时服务器健康监控:实施 Tail 插件以实时解析 Web 服务器访问日志,从而立即了解用户活动、错误率和性能指标。 通过可视化此日志数据,运营团队可以快速识别和响应流量或错误峰值,从而提高系统可靠性和用户体验。
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集中式日志管理:利用 Tail 插件聚合来自分布式系统中多个来源的日志。 通过配置每个服务以通过 Tail 插件将其日志发送到集中位置,团队可以简化日志分析,并确保所有相关数据都可以从单个界面访问,从而简化故障排除过程。
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安全事件检测:使用此插件监控身份验证日志,以查找未经授权的访问尝试或可疑活动。 通过在某些日志消息上设置警报,团队可以利用此插件来增强安全态势并及时响应潜在的安全威胁,从而降低违规风险并提高整体系统完整性。
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动态应用程序性能洞察:与分析工具集成,以创建实时仪表板,显示基于日志数据的应用程序性能指标。 此设置不仅可以帮助开发人员诊断瓶颈和效率低下问题,还可以进行主动性能调整和资源分配,从而优化应用程序在不同负载下的行为。
ServiceNow
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主动事件管理:利用 Telegraf 和 ServiceNow 集成将基础设施和应用程序指标实时流式传输到 ServiceNow Event Management。 根据阈值自动触发事件或补救工作流程,从而显着缩短事件检测和响应时间。
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端到端应用程序监控:在应用程序堆栈的多个层部署 Telegraf 代理,将性能指标直接发送到 ServiceNow。 利用 ServiceNow 的 Operational Intelligence,团队可以将跨组件的指标关联起来,快速识别性能瓶颈。
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动态 CI 性能跟踪:通过使用此插件推送性能数据,将 Telegraf 指标与 ServiceNow 的 CMDB 集成,从而可以根据实时指标自动更新配置项 (CI) 健康状态。 这确保了 ServiceNow 中基础设施健康的准确和当前状态。
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云资源优化:使用 Telegraf 从混合云和多云基础设施收集指标,直接流式传输到 ServiceNow。 利用这些指标进行实时分析、预测性容量规划和资源优化,从而实现主动管理和降低运营成本。
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