HTTP 和 OpenSearch 集成

强大的性能和简单的集成,由 InfluxData 构建的开源数据连接器 Telegraf 提供支持。

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对于大规模实时查询,这不是推荐的配置。 为了查询和压缩优化、高速摄取和高可用性,您可能需要考虑 HTTP 和 InfluxDB

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时序数据库
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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。 借助 InfluxDB,这是使用 Telegraf 构建的排名第一的时序平台,可进行扩展。

查看入门方法

输入和输出集成概述

HTTP 插件允许从指定的 HTTP 端点收集指标,处理各种数据格式和身份验证方法。

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

HTTP

HTTP 插件从一个或多个 HTTP(S) 端点收集指标,这些端点应具有支持的输入数据格式之一的指标格式。 它还支持来自 secret-stores 的密钥,用于各种身份验证选项,并包含全局支持的配置设置。

OpenSearch

OpenSearch Telegraf 插件通过 HTTP 与 OpenSearch 数据库集成,从而实现指标的简化收集和存储。 作为一个专为 2.x 及更高版本的 OpenSearch 版本设计的强大工具,该插件在提供强大功能的同时,还通过原始 Elasticsearch 插件与 1.x 版本兼容。 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实现高效分析。 该插件支持各种配置选项,例如索引名称、身份验证、运行状况检查和值处理,从而使其能够根据不同的操作要求进行定制。 其功能使其对于希望利用 OpenSearch 的强大功能进行指标存储和查询的组织至关重要。

配置

HTTP

[[inputs.http]]
  ## One or more URLs from which to read formatted metrics.
  urls = [
    "http://localhost/metrics",
    "http+unix:///run/user/420/podman/podman.sock:/d/v4.0.0/libpod/pods/json"
  ]

  ## HTTP method
  # method = "GET"

  ## Optional HTTP headers
  # headers = {"X-Special-Header" = "Special-Value"}

  ## HTTP entity-body to send with POST/PUT requests.
  # body = ""

  ## HTTP Content-Encoding for write request body, can be set to "gzip" to
  ## compress body or "identity" to apply no encoding.
  # content_encoding = "identity"

  ## Optional Bearer token settings to use for the API calls.
  ## Use either the token itself or the token file if you need a token.
  # token = "eyJhbGc...Qssw5c"
  # token_file = "/path/to/file"

  ## Optional HTTP Basic Auth Credentials
  # username = "username"
  # password = "pa$$word"

  ## OAuth2 Client Credentials. The options 'client_id', 'client_secret', and 'token_url' are required to use OAuth2.
  # client_id = "clientid"
  # client_secret = "secret"
  # token_url = "https://indentityprovider/oauth2/v1/token"
  # scopes = ["urn:opc:idm:__myscopes__"]

  ## HTTP Proxy support
  # use_system_proxy = false
  # http_proxy_url = ""

  ## 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"
  ## Password for the key file if it is encrypted
  # tls_key_pwd = ""
  ## Send the specified TLS server name via SNI
  # tls_server_name = "kubernetes.example.com"
  ## Minimal TLS version to accept by the client
  # tls_min_version = "TLS12"
  ## List of ciphers to accept, by default all secure ciphers will be accepted
  ## See https://pkg.go.dev/crypto/tls#pkg-constants for supported values.
  ## Use "all", "secure" and "insecure" to add all support ciphers, secure
  ## suites or insecure suites respectively.
  # tls_cipher_suites = ["secure"]
  ## Renegotiation method, "never", "once" or "freely"
  # tls_renegotiation_method = "never"
  ## Use TLS but skip chain & host verification
  # insecure_skip_verify = false

  ## Optional Cookie authentication
  # cookie_auth_url = "https://localhost/authMe"
  # cookie_auth_method = "POST"
  # cookie_auth_username = "username"
  # cookie_auth_password = "pa$$word"
  # cookie_auth_headers = { Content-Type = "application/json", X-MY-HEADER = "hello" }
  # cookie_auth_body = '{"username": "user", "password": "pa$$word", "authenticate": "me"}'
  ## cookie_auth_renewal not set or set to "0" will auth once and never renew the cookie
  # cookie_auth_renewal = "5m"

  ## Amount of time allowed to complete the HTTP request
  # timeout = "5s"

  ## List of success status codes
  # success_status_codes = [200]

  ## 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"

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

HTTP

  1. 从本地主机收集指标: 该插件可以从 HTTP 端点(如 http://localhost/metrics)获取指标,从而实现简单的本地监控。
  2. 使用 Unix 域套接字: 您可以通过使用 http+unix 方案指定通过 Unix 域套接字从服务收集指标,例如,http+unix:///path/to/service.sock:/api/endpoint

OpenSearch

  1. 时序数据的动态索引: 利用 OpenSearch Telegraf 插件为时序指标动态创建索引,确保数据以有组织的方式存储,从而有助于基于时间的查询。 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随时间的检索,从而提高分析性能。

  2. 多租户应用程序的集中式日志记录: 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。 这使得能够对每个租户进行有针对性的分析和监控,同时保持数据隔离。 通过利用索引名称模板功能,用户可以自动创建特定于租户的索引,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。

  3. 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。

  4. 使用 OpenSearch 增强监控仪表板: 使用从 OpenSearch 收集的指标来创建实时仪表板,这些仪表板可以深入了解系统性能。 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,使运营团队能够快速评估运行状况和性能,并做出数据驱动的决策。

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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。 借助 InfluxDB,这是使用 Telegraf 构建的排名第一的时序平台,可进行扩展。

查看入门方法

相关集成

HTTP 和 InfluxDB 集成

HTTP 插件从一个或多个 HTTP(S) 端点收集指标。 它支持各种身份验证方法和数据格式的配置选项。

查看集成

Kafka 和 InfluxDB 集成

此插件从 Kafka 读取消息,并允许基于这些消息创建指标。 它支持各种配置,包括不同的 Kafka 设置和消息处理选项。

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Kinesis 和 InfluxDB 集成

Kinesis 插件允许从 AWS Kinesis 流中读取指标。 它支持多种输入数据格式,并提供带有 DynamoDB 的检查点功能,以实现可靠的消息处理。

查看集成