目录
输入和输出集成概述
Consul 输入插件从 Consul 服务器收集健康检查指标,允许用户有效地监控服务状态。
OpenSearch 输出插件允许用户使用 HTTP 将指标直接发送到 OpenSearch 实例,从而促进 OpenSearch 生态系统内有效的数据管理和分析。
集成详情
Consul
Consul 输入插件旨在从所有在 Consul 中注册的服务(一种用于服务发现和基础设施管理的工具)收集健康检查状态。通过查询 Consul API,此插件帮助用户监控其服务的健康状况,并确保它们正常运行并满足服务级别协议。它不提供遥测数据,但如果用户想要收集这些指标,可以使用 StatsD。该插件提供配置选项,用于连接到 Consul 服务器、管理身份验证以及指定如何处理从健康检查派生的标签。
OpenSearch
OpenSearch Telegraf 插件通过 HTTP 与 OpenSearch 数据库集成,从而可以简化指标的收集和存储。作为一个专为 OpenSearch 2.x 及更高版本设计的强大工具,该插件提供了强大的功能,同时通过原始 Elasticsearch 插件提供与 1.x 的兼容性。此插件有助于在 OpenSearch 中创建和管理索引,自动管理模板并确保数据结构化以进行高效分析。该插件支持各种配置选项,例如索引名称、身份验证、健康检查和值处理,使其可以根据不同的操作要求进行定制。其功能使其成为希望利用 OpenSearch 的强大功能进行指标存储和查询的组织必不可少的工具。
配置
Consul
[[inputs.consul]]
## Consul server address
# address = "localhost:8500"
## URI scheme for the Consul server, one of "http", "https"
# scheme = "http"
## Metric version controls the mapping from Consul metrics into
## Telegraf metrics. Version 2 moved all fields with string values
## to tags.
##
## example: metric_version = 1; deprecated in 1.16
## metric_version = 2; recommended version
# metric_version = 1
## ACL token used in every request
# token = ""
## HTTP Basic Authentication username and password.
# username = ""
# password = ""
## Data center to query the health checks from
# datacenter = ""
## 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 = true
## Consul checks' tag splitting
# When tags are formatted like "key:value" with ":" as a delimiter then
# they will be split and reported as proper key:value in Telegraf
# tag_delimiter = ":"
OpenSearch
[[outputs.opensearch]]
## URLs
## The full HTTP endpoint URL for your OpenSearch instance. Multiple URLs can
## be specified as part of the same cluster, but only one URLs is used to
## write during each interval.
urls = ["http://node1.os.example.com:9200"]
## Index Name
## Target index name for metrics (OpenSearch will create if it not exists).
## This is a Golang template (see https://pkg.go.dev/text/template)
## You can also specify
## metric name (`{{.Name}}`), tag value (`{{.Tag "tag_name"}}`), field value (`{{.Field "field_name"}}`)
## If the tag does not exist, the default tag value will be empty string "".
## the timestamp (`{{.Time.Format "xxxxxxxxx"}}`).
## For example: "telegraf-{{.Time.Format \"2006-01-02\"}}-{{.Tag \"host\"}}" would set it to telegraf-2023-07-27-HostName
index_name = ""
## Timeout
## OpenSearch client timeout
# timeout = "5s"
## Sniffer
## Set to true to ask OpenSearch a list of all cluster nodes,
## thus it is not necessary to list all nodes in the urls config option
# enable_sniffer = false
## GZIP Compression
## Set to true to enable gzip compression
# enable_gzip = false
## Health Check Interval
## Set the interval to check if the OpenSearch nodes are available
## Setting to "0s" will disable the health check (not recommended in production)
# health_check_interval = "10s"
## Set the timeout for periodic health checks.
# health_check_timeout = "1s"
## HTTP basic authentication details.
# username = ""
# password = ""
## HTTP bearer token authentication details
# auth_bearer_token = ""
## Optional TLS Config
## Set to true/false to enforce TLS being enabled/disabled. If not set,
## enable TLS only if any of the other options are specified.
# tls_enable =
## Trusted root certificates for server
# tls_ca = "/path/to/cafile"
## Used for TLS client certificate authentication
# tls_cert = "/path/to/certfile"
## Used for TLS client certificate authentication
# tls_key = "/path/to/keyfile"
## Send the specified TLS server name via SNI
# tls_server_name = "kubernetes.example.com"
## Use TLS but skip chain & host verification
# insecure_skip_verify = false
## Template Config
## Manage templates
## Set to true if you want telegraf to manage its index template.
## If enabled it will create a recommended index template for telegraf indexes
# manage_template = true
## Template Name
## The template name used for telegraf indexes
# template_name = "telegraf"
## Overwrite Templates
## Set to true if you want telegraf to overwrite an existing template
# overwrite_template = false
## Document ID
## If set to true a unique ID hash will be sent as
## sha256(concat(timestamp,measurement,series-hash)) string. It will enable
## data resend and update metric points avoiding duplicated metrics with
## different id's
# force_document_id = false
## Value Handling
## Specifies the handling of NaN and Inf values.
## This option can have the following values:
## none -- do not modify field-values (default); will produce an error
## if NaNs or infs are encountered
## drop -- drop fields containing NaNs or infs
## replace -- replace with the value in "float_replacement_value" (default: 0.0)
## NaNs and inf will be replaced with the given number, -inf with the negative of that number
# float_handling = "none"
# float_replacement_value = 0.0
## Pipeline Config
## To use a ingest pipeline, set this to the name of the pipeline you want to use.
# use_pipeline = "my_pipeline"
## Pipeline Name
## Additionally, you can specify a tag name using the notation (`{{.Tag "tag_name"}}`)
## which will be used as the pipeline name (e.g. "{{.Tag \"os_pipeline\"}}").
## If the tag does not exist, the default pipeline will be used as the pipeline.
## If no default pipeline is set, no pipeline is used for the metric.
# default_pipeline = ""
输入和输出集成示例
Consul
-
服务健康监控仪表板:利用 Consul 输入插件为所有在 Consul 中注册的服务创建一个全面的健康监控仪表板。这允许运维团队实时可视化健康状态,从而快速识别服务问题并促进对服务中断或性能下降的快速响应。
-
自动化警报系统:实施一个自动化警报系统,该系统使用 Consul 输入插件收集的健康检查数据,以便在服务状态更改为严重时触发通知。此设置可以与 Slack 或电子邮件等通知系统集成,确保团队成员立即收到警报以解决潜在问题。
-
与事件管理系统集成:利用 Consul 输入插件中的健康检查数据来馈送到事件管理系统中。通过分析健康状态趋势,团队可以根据受影响服务的严重性来确定事件的优先级,并简化其解决流程,从而提高整体服务可靠性和客户满意度。
OpenSearch
-
时间序列数据的动态索引:利用 OpenSearch Telegraf 插件为时间序列指标动态创建索引,确保数据以有组织的方式存储,以便于基于时间的查询。通过使用 Go 模板定义索引模式,用户可以利用该插件创建每日或每月索引,这可以大大简化数据管理和长期检索,从而提高分析性能。
-
多租户应用程序的集中日志记录:在多租户应用程序中实施 OpenSearch 插件,其中每个租户的日志都发送到单独的索引。这可以在保持数据隔离的同时,针对每个租户进行有针对性的分析和监控。通过利用索引名称模板化功能,用户可以自动创建租户特定的索引,这不仅简化了流程,还增强了租户数据的安全性和可访问性。
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与机器学习集成以进行异常检测:将 OpenSearch 插件与机器学习工具结合使用,以自动检测指标数据中的异常。通过配置插件以将实时指标发送到 OpenSearch,用户可以将机器学习模型应用于传入的数据流,以识别异常值或异常模式,从而促进主动监控和快速补救措施。
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使用 OpenSearch 增强监控仪表板:使用从 OpenSearch 收集的指标创建实时仪表板,以提供对系统性能的洞察。通过将指标馈送到 OpenSearch,组织可以利用 OpenSearch Dashboards 可视化关键绩效指标,使运维团队能够快速评估健康状况和性能,并做出数据驱动的决策。
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