目录
强大的性能,无限的扩展能力
收集、组织和处理海量高速数据。当您将任何数据视为时序数据时,它都更有价值。使用 InfluxDB,这是排名第一的时序平台,旨在与 Telegraf 一起扩展。
查看入门方法
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。
OpenTSDB 插件促进了 Telegraf 与 OpenTSDB 的集成,允许用户无缝地将时序指标推送到 OpenTSDB 后端。
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,并开始读取添加的新行。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各种日志消息解析格式。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。此插件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尤其有价值。
OpenTSDB
OpenTSDB 插件旨在将指标发送到 OpenTSDB 实例,可以使用 telnet 或 HTTP 模式。随着 OpenTSDB 2.0 的推出,推荐的指标发送方法是通过 HTTP API,它允许通过配置 ‘http_batch_size’ 来批量处理指标。该插件支持多个配置选项,包括指标前缀、服务器主机和端口规范、反向代理的 URI 路径自定义以及用于诊断与 OpenTSDB 通信问题的调试选项。此插件在生成时序数据并需要将其高效存储在可扩展的时序数据库(如 OpenTSDB)中的场景中特别有用,使其适用于广泛的监控和分析应用。
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
OpenTSDB
[[outputs.opentsdb]]
## prefix for metrics keys
prefix = "my.specific.prefix."
## DNS name of the OpenTSDB server
## Using "opentsdb.example.com" or "tcp://opentsdb.example.com" will use the
## telnet API. "http://opentsdb.example.com" will use the Http API.
host = "opentsdb.example.com"
## Port of the OpenTSDB server
port = 4242
## Number of data points to send to OpenTSDB in Http requests.
## Not used with telnet API.
http_batch_size = 50
## URI Path for Http requests to OpenTSDB.
## Used in cases where OpenTSDB is located behind a reverse proxy.
http_path = "/api/put"
## Debug true - Prints OpenTSDB communication
debug = false
## Separator separates measurement name from field
separator = "_"
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,运维团队可以快速识别并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,并确保从单个界面访问所有相关数据,从而简化故障排除流程。
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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,从而降低漏洞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,这些仪表板根据日志数据展示应用程序性能指标。这种设置不仅有助于开发人员诊断瓶颈和效率低下问题,还可以实现主动性能调优和资源分配,从而优化应用程序在不同负载下的行为。
OpenTSDB
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实时基础设施监控:利用 OpenTSDB 插件收集和存储来自各种基础设施组件的指标。通过配置插件以将指标推送到 OpenTSDB,组织可以全面了解其基础设施的健康状况和长期性能。
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自定义应用程序指标跟踪:将 OpenTSDB 插件集成到自定义应用程序中,以跟踪关键绩效指标 (KPI),例如响应时间、错误率和用户交互。这种设置允许开发人员和产品团队可视化应用程序性能趋势并做出数据驱动的决策。
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自动化异常检测:结合机器学习算法利用插件来自动检测发送到 OpenTSDB 的时序数据中的异常。通过持续监控传入的指标,系统可以训练模型,以便在潜在问题影响应用程序性能之前向用户发出警报。
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历史数据分析:使用 OpenTSDB 插件存储和分析历史性能数据,以进行容量规划和趋势分析。这提供了对系统长期行为的宝贵见解,帮助团队了解使用模式并为未来增长做好准备。
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强大的性能,无限的扩展能力
收集、组织和处理海量高速数据。当您将任何数据视为时序数据时,它都更有价值。使用 InfluxDB,这是排名第一的时序平台,旨在与 Telegraf 一起扩展。
查看入门方法