目录
输入和输出集成概述
gNMI(gRPC 网络管理接口)输入插件使用 gNMI Subscribe 方法从网络设备收集遥测数据。它支持 TLS 以实现安全身份验证和数据传输。
此插件使 Telegraf 能够将指标直接实时流式传输到 Grafana 仪表板,利用 Grafana Live 实现即时数据可视化和运营洞察。
集成详情
gNMI
此输入插件与供应商无关,可以与任何支持 gNMI 规范的平台一起使用。它基于 gNMI Subscribe 方法使用遥测数据,从而可以实时监控网络设备。
Grafana
Telegraf 可以使用 Websocket 输出插件将实时数据发送到 Grafana。Telegraf 收集的指标会立即推送到 Grafana 仪表板,从而实现实时可视化和分析。此插件非常适合需要低延迟、实时数据可视化的用例,例如运营监控、实时分析和即时事件响应场景。它支持身份验证标头、可自定义的数据序列化格式(如 JSON)以及通过 TLS 进行的安全通信,在动态、交互式仪表板环境中提供灵活性和易用性。
配置
gNMI
[[inputs.gnmi]]
## Address and port of the gNMI GRPC server
addresses = ["10.49.234.114:57777"]
## define credentials
username = "cisco"
password = "cisco"
## gNMI encoding requested (one of: "proto", "json", "json_ietf", "bytes")
# encoding = "proto"
## redial in case of failures after
# redial = "10s"
## gRPC Keepalive settings
## See https://pkg.go.dev/google.golang.org/grpc/keepalive
## The client will ping the server to see if the transport is still alive if it has
## not see any activity for the given time.
## If not set, none of the keep-alive setting (including those below) will be applied.
## If set and set below 10 seconds, the gRPC library will apply a minimum value of 10s will be used instead.
# keepalive_time = ""
## Timeout for seeing any activity after the keep-alive probe was
## sent. If no activity is seen the connection is closed.
# keepalive_timeout = ""
## gRPC Maximum Message Size
# max_msg_size = "4MB"
## Enable to get the canonical path as field-name
# canonical_field_names = false
## Remove leading slashes and dots in field-name
# trim_field_names = false
## Guess the path-tag if an update does not contain a prefix-path
## Supported values are
## none -- do not add a 'path' tag
## common path -- use the common path elements of all fields in an update
## subscription -- use the subscription path
# path_guessing_strategy = "none"
## Prefix tags from path keys with the path element
# prefix_tag_key_with_path = false
## Optional client-side TLS to authenticate the device
## 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
## gNMI subscription prefix (optional, can usually be left empty)
## See: https://github.com/openconfig/reference/blob/master/rpc/gnmi/gnmi-specification.md#222-paths
# origin = ""
# prefix = ""
# target = ""
## Vendor specific options
## This defines what vendor specific options to load.
## * Juniper Header Extension (juniper_header): some sensors are directly managed by
## Linecard, which adds the Juniper GNMI Header Extension. Enabling this
## allows the decoding of the Extension header if present. Currently this knob
## adds component, component_id & sub_component_id as additional tags
# vendor_specific = []
## YANG model paths for decoding IETF JSON payloads
## Model files are loaded recursively from the given directories. Disabled if
## no models are specified.
# yang_model_paths = []
## Define additional aliases to map encoding paths to measurement names
# [inputs.gnmi.aliases]
# ifcounters = "openconfig:/interfaces/interface/state/counters"
[[inputs.gnmi.subscription]]
## Name of the measurement that will be emitted
name = "ifcounters"
## Origin and path of the subscription
## See: https://github.com/openconfig/reference/blob/master/rpc/gnmi/gnmi-specification.md#222-paths
##
## origin usually refers to a (YANG) data model implemented by the device
## and path to a specific substructure inside it that should be subscribed
## to (similar to an XPath). YANG models can be found e.g. here:
## https://github.com/YangModels/yang/tree/master/vendor/cisco/xr
origin = "openconfig-interfaces"
path = "/interfaces/interface/state/counters"
## Subscription mode ("target_defined", "sample", "on_change") and interval
subscription_mode = "sample"
sample_interval = "10s"
## Suppress redundant transmissions when measured values are unchanged
# suppress_redundant = false
## If suppression is enabled, send updates at least every X seconds anyway
# heartbeat_interval = "60s"
Grafana
[[outputs.websocket]]
## Grafana Live WebSocket endpoint
url = "ws://localhost:3000/api/live/push/custom_id"
## Optional headers for authentication
# [outputs.websocket.headers]
# Authorization = "Bearer YOUR_GRAFANA_API_TOKEN"
## Data format to send metrics
data_format = "influx"
## Timeouts (make sure read_timeout is larger than server ping interval or set to zero).
# connect_timeout = "30s"
# write_timeout = "30s"
# read_timeout = "30s"
## Optionally turn on using text data frames (binary by default).
# use_text_frames = false
## TLS configuration
# tls_ca = "/path/to/ca.pem"
# tls_cert = "/path/to/cert.pem"
# tls_key = "/path/to/key.pem"
# insecure_skip_verify = false
输入和输出集成示例
gNMI
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监控 Cisco 设备:使用 gNMI 插件从 Cisco IOS XR、NX-OS 或 IOS XE 设备收集遥测数据以进行性能监控。
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实时网络洞察:借助 gNMI 插件,网络管理员可以深入了解实时指标,例如接口统计信息和 CPU 使用率。
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安全数据采集:配置带有 TLS 设置的 gNMI 插件,以确保在从设备收集敏感遥测数据时进行安全通信。
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灵活的数据处理:使用订阅选项自定义您要根据特定需求或要求收集的遥测数据。
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错误处理:该插件包含故障排除选项,用于处理常见问题,例如缺少指标名称或 TLS 握手失败。
Grafana
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实时基础设施仪表板:部署 Telegraf 将服务器运行状况指标直接流式传输到 Grafana 仪表板,使 IT 团队能够实时可视化基础设施性能。此设置允许立即检测和响应关键系统事件。
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交互式物联网监控:集成 Telegraf 收集的物联网设备指标,并将实时数据推送到 Grafana,创建动态和交互式仪表板,用于监控智慧城市项目或制造过程。这种实时可见性显著提高了响应速度和运营效率。
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即时应用程序性能分析:将来自生产环境的应用程序指标实时流式传输到 Grafana 仪表板,使开发团队能够在部署期间快速检测和诊断性能瓶颈或异常,从而最大限度地减少停机时间并提高可靠性。
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实时事件分析:在大型现场活动期间,利用 Telegraf 捕获实时受众或系统指标并直接流式传输到 Grafana 仪表板。活动组织者可以动态监控并对不断变化的条件或趋势做出反应,从而显著提高受众参与度和运营决策能力。
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