目录
强大的性能,无限的扩展
收集、组织和处理海量高速数据。当您将任何数据视为时间序列数据时,它都更有价值。借助 InfluxDB,排名第一的时间序列平台,旨在与 Telegraf 一起扩展。
查看入门方法
输入和输出集成概述
此插件监听通过 HTTP 从 AWS Data Firehose 以支持的数据格式发送的指标,提供实时数据摄取能力。
此插件将 Telegraf 指标保存到 Apache IoTDB 后端,支持会话连接和数据插入。
集成详情
AWS Data Firehose
AWS Data Firehose Telegraf 插件旨在通过 HTTP 接收来自 AWS Data Firehose 的指标。此插件监听各种格式的传入数据,并根据官方 AWS 文档中概述的请求-响应模式对其进行处理。与按固定间隔运行的标准输入插件不同,此服务插件初始化一个保持活动状态的监听器,等待传入的指标。这允许从 AWS Data Firehose 实时摄取数据,使其适用于需要立即进行数据处理的场景。主要功能包括指定服务地址、路径以及支持 TLS 连接以进行安全数据传输的能力。此外,该插件还支持可选的身份验证密钥和自定义标签,从而增强了其在涉及数据流和处理的各种用例中的灵活性。
IoTDB
Apache IoTDB(物联网数据库)是一种物联网原生数据库,具有高性能的数据管理和分析能力,可部署在边缘和云端。其轻量级架构、高性能和丰富的功能集使其非常适合物联网工业领域中的海量数据存储、高速数据摄取和复杂分析。IoTDB 与 Apache Hadoop、Spark 和 Flink 深度集成,进一步增强了其处理大规模数据和复杂处理任务的能力。
配置
AWS Data Firehose
[[inputs.firehose]]
## Address and port to host HTTP listener on
service_address = ":8080"
## Paths to listen to.
# paths = ["/telegraf"]
## maximum duration before timing out read of the request
# read_timeout = "5s"
## maximum duration before timing out write of the response
# write_timeout = "5s"
## Set one or more allowed client CA certificate file names to
## enable mutually authenticated TLS connections
# tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
## Add service certificate and key
# tls_cert = "/etc/telegraf/cert.pem"
# tls_key = "/etc/telegraf/key.pem"
## Minimal TLS version accepted by the server
# tls_min_version = "TLS12"
## Optional access key to accept for authentication.
## AWS Data Firehose uses "x-amz-firehose-access-key" header to set the access key.
## If no access_key is provided (default), authentication is completely disabled and
## this plugin will accept all request ignoring the provided access-key in the request!
# access_key = "foobar"
## Optional setting to add parameters as tags
## If the http header "x-amz-firehose-common-attributes" is not present on the
## request, no corresponding tag will be added. The header value should be a
## json and should follow the schema as describe in the official documentation:
## https://docs.aws.amazon.com/firehose/latest/dev/httpdeliveryrequestresponse.html#requestformat
# parameter_tags = ["env"]
## 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"
IoTDB
[[outputs.iotdb]]
## Configuration of IoTDB server connection
host = "127.0.0.1"
# port = "6667"
## Configuration of authentication
# user = "root"
# password = "root"
## Timeout to open a new session.
## A value of zero means no timeout.
# timeout = "5s"
## Configuration of type conversion for 64-bit unsigned int
## IoTDB currently DOES NOT support unsigned integers (version 13.x).
## 32-bit unsigned integers are safely converted into 64-bit signed integers by the plugin,
## however, this is not true for 64-bit values in general as overflows may occur.
## The following setting allows to specify the handling of 64-bit unsigned integers.
## Available values are:
## - "int64" -- convert to 64-bit signed integers and accept overflows
## - "int64_clip" -- convert to 64-bit signed integers and clip the values on overflow to 9,223,372,036,854,775,807
## - "text" -- convert to the string representation of the value
# uint64_conversion = "int64_clip"
## Configuration of TimeStamp
## TimeStamp is always saved in 64bits int. timestamp_precision specifies the unit of timestamp.
## Available value:
## "second", "millisecond", "microsecond", "nanosecond"(default)
# timestamp_precision = "nanosecond"
## Handling of tags
## Tags are not fully supported by IoTDB.
## A guide with suggestions on how to handle tags can be found here:
## https://iotdb.apache.org/UserGuide/Master/API/InfluxDB-Protocol.html
##
## Available values are:
## - "fields" -- convert tags to fields in the measurement
## - "device_id" -- attach tags to the device ID
##
## For Example, a metric named "root.sg.device" with the tags `tag1: "private"` and `tag2: "working"` and
## fields `s1: 100` and `s2: "hello"` will result in the following representations in IoTDB
## - "fields" -- root.sg.device, s1=100, s2="hello", tag1="private", tag2="working"
## - "device_id" -- root.sg.device.private.working, s1=100, s2="hello"
# convert_tags_to = "device_id"
## Handling of unsupported characters
## Some characters in different versions of IoTDB are not supported in path name
## A guide with suggetions on valid paths can be found here:
## for iotdb 0.13.x -> https://iotdb.apache.org/UserGuide/V0.13.x/Reference/Syntax-Conventions.html#identifiers
## for iotdb 1.x.x and above -> https://iotdb.apache.org/UserGuide/V1.3.x/User-Manual/Syntax-Rule.html#identifier
##
## Available values are:
## - "1.0", "1.1", "1.2", "1.3" -- enclose in `` the world having forbidden character
## such as @ $ # : [ ] { } ( ) space
## - "0.13" -- enclose in `` the world having forbidden character
## such as space
##
## Keep this section commented if you don't want to sanitize the path
# sanitize_tag = "1.3"
输入和输出集成示例
AWS Data Firehose
-
实时数据分析:通过使用 AWS Data Firehose 插件,组织可以实时地从各种来源(例如应用程序日志或 IoT 设备)将数据流式传输到分析平台。这使数据团队能够分析传入的数据,从而根据最新的指标快速获得见解和进行运营调整。
-
优化配置文件访问模式:通过 AWS Data Firehose 收集有关客户端如何与应用程序交互的数据,企业可以深入了解用户行为。这可以推动内容个性化策略或优化服务器架构,以根据流量模式获得更好的性能。
-
自动警报机制:通过此插件将 AWS Data Firehose 与警报系统集成,使团队能够根据收集的特定指标设置自动警报。例如,如果输入数据中达到特定阈值,则警报可以触发运营团队调查潜在问题,以防问题升级。
IoTDB
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实时物联网监控:利用 IoTDB 插件收集来自各种 IoT 设备的传感器数据,并将其保存在 Apache IoTDB 后端中,从而实现对环境条件(如温度和湿度)的实时监控。此用例使组织能够分析随时间变化的趋势,并根据历史数据做出明智的决策,同时还可以利用 IoTDB 的高效存储和查询功能。
-
智能农业数据收集:使用 IoTDB 插件收集来自部署在田地的智能农业传感器的指标。通过将湿度、养分含量和大气条件传输到 IoTDB,农民可以获得有关最佳种植和浇水计划的详细见解,从而提高作物产量和资源管理水平。
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能耗分析:利用 IoTDB 插件跟踪来自整个公用事业网络中智能电表的能耗指标。此集成支持分析以识别使用高峰并预测未来的消耗模式,最终支持节能措施和改进的公用事业管理。
-
自动化工业设备监控:使用此插件收集制造工厂中机器的运行指标,并将其存储在 IoTDB 中进行分析。此设置可以帮助识别效率低下、预测性维护需求和运营异常,从而确保最佳性能并最大限度地减少意外停机时间。
反馈
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强大的性能,无限的扩展
收集、组织和处理海量高速数据。当您将任何数据视为时间序列数据时,它都更有价值。借助 InfluxDB,排名第一的时间序列平台,旨在与 Telegraf 一起扩展。
查看入门方法