目录
输入和输出集成概述
AMQP Consumer 输入插件允许您从符合 AMQP 0-9-1 标准的消息代理(如 RabbitMQ)中摄取数据,从而实现无缝数据收集,以进行监控和分析。
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
序列化器与 ServiceNow 的 Operational Intelligence 和 Event Management 进行高效集成。
集成详情
AMQP
此插件为 AMQP 0-9-1 提供了一个消费者,RabbitMQ 是其一个突出的实现。AMQP 或高级消息队列协议最初是为了实现网络中不同系统之间可靠、可互操作的消息传递而开发的。该插件使用配置的队列和绑定键从主题交换中读取指标,从而提供了一种灵活高效的方式,用于从符合 AMQP 标准的消息传递系统中收集数据。这使用户能够利用现有的 RabbitMQ 实现来有效地监控其应用程序,方法是捕获详细的指标以进行分析和警报。
ServiceNow
Telegraf 可用于将指标数据直接发送到 ServiceNow MID Server REST 端点。指标使用 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,通过最大限度地减少 HTTP POST 请求的数量来降低网络开销。这种集成使用户能够快速利用 ServiceNow 中的指标来增强可观察性、主动事件管理和性能监控,并利用 ServiceNow 的 Operational Intelligence 功能。
配置
AMQP
[[inputs.amqp_consumer]]
## Brokers to consume from. If multiple brokers are specified a random broker
## will be selected anytime a connection is established. This can be
## helpful for load balancing when not using a dedicated load balancer.
brokers = ["amqp://localhost:5672/influxdb"]
## Authentication credentials for the PLAIN auth_method.
# username = ""
# password = ""
## Name of the exchange to declare. If unset, no exchange will be declared.
exchange = "telegraf"
## Exchange type; common types are "direct", "fanout", "topic", "header", "x-consistent-hash".
# exchange_type = "topic"
## If true, exchange will be passively declared.
# exchange_passive = false
## Exchange durability can be either "transient" or "durable".
# exchange_durability = "durable"
## Additional exchange arguments.
# exchange_arguments = { }
# exchange_arguments = {"hash_property" = "timestamp"}
## AMQP queue name.
queue = "telegraf"
## AMQP queue durability can be "transient" or "durable".
queue_durability = "durable"
## If true, queue will be passively declared.
# queue_passive = false
## Additional arguments when consuming from Queue
# queue_consume_arguments = { }
# queue_consume_arguments = {"x-stream-offset" = "first"}
## A binding between the exchange and queue using this binding key is
## created. If unset, no binding is created.
binding_key = "#"
## Maximum number of messages server should give to the worker.
# prefetch_count = 50
## Max undelivered messages
## This plugin uses tracking metrics, which ensure messages are read to
## outputs before acknowledging them to the original broker to ensure data
## is not lost. This option sets the maximum messages to read from the
## broker that have not been written by an output.
##
## This value needs to be picked with awareness of the agent's
## metric_batch_size value as well. Setting max undelivered messages too high
## can result in a constant stream of data batches to the output. While
## setting it too low may never flush the broker's messages.
# max_undelivered_messages = 1000
## Timeout for establishing the connection to a broker
# timeout = "30s"
## Auth method. PLAIN and EXTERNAL are supported
## Using EXTERNAL requires enabling the rabbitmq_auth_mechanism_ssl plugin as
## described here: https://rabbitmq.cn/plugins.html
# auth_method = "PLAIN"
## 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
## Content encoding for message payloads, can be set to
## "gzip", "identity" or "auto"
## - Use "gzip" to decode gzip
## - Use "identity" to apply no encoding
## - Use "auto" determine the encoding using the ContentEncoding header
# content_encoding = "identity"
## Maximum size of decoded message.
## Acceptable units are B, KiB, KB, MiB, MB...
## Without quotes and units, interpreted as size in bytes.
# max_decompression_size = "500MB"
## 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"
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
AMQP
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使用 AMQP 集成应用程序指标:使用 AMQP Consumer 插件收集发布到 RabbitMQ 交换机的应用程序指标。通过配置插件以侦听特定队列,团队可以深入了解应用程序性能、跟踪请求速率、错误计数和延迟指标,所有这些都是实时的。此设置不仅有助于异常检测,还为容量规划和系统优化提供有价值的数据。
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事件驱动监控:每当应用程序中满足某些条件时,配置 AMQP Consumer 以触发特定的监控事件。例如,如果收到指示高错误率的消息,插件可以将此数据馈送到监控工具中,从而生成警报或扩展事件。这种集成可以提高对问题的响应能力并自动化部分操作工作流程。
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跨平台数据聚合:利用 AMQP Consumer 插件整合来自分布在不同平台上的各种应用程序的指标。通过使用 RabbitMQ 作为集中式消息代理,组织可以统一其监控数据,从而允许通过 Telegraf 进行全面的分析和仪表板显示,从而在异构环境中保持可见性。
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实时日志处理:扩展 AMQP Consumer 的使用范围,以捕获发送到 RabbitMQ 交换机的日志数据,实时处理日志以进行监控和警报。此应用程序确保通过分析日志模式、趋势和异常(在它们发生时)来快速检测和解决操作问题。
ServiceNow
-
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,从而显著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中部署 Telegraf 代理,将性能指标直接发送到 ServiceNow。利用 ServiceNow 的 Operational Intelligence,团队可以关联跨组件的指标,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,从而允许根据实时指标自动更新配置项 (CI) 健康状态。这确保了 ServiceNow 中基础设施健康状态的准确和最新状态。
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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,从而实现主动管理并降低运营成本。
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