Fireboard and ServiceNow Integration

Input and output integration overview

The Fireboard plugin enables users to gather real-time temperature readings from Fireboard thermometers using the Fireboard REST API.

This output plugin streams metrics from Telegraf directly to a ServiceNow MID Server via HTTP, leveraging the nowmetric serializer for efficient integration with ServiceNow’s Operational Intelligence and Event Management.

Integration details

Fireboard

This plugin gathers real-time temperature data from Fireboard thermometers. Fireboard is a smart thermometer system that utilizes a REST API to provide user access to temperature monitoring. This plugin allows users to retrieve temperature readings efficiently, utilizing the provided authentication token. It can be configured with an optional server URL and custom HTTP timeout settings, providing flexibility depending on the user’s network conditions or potential changes to the Fireboard API. The metrics captured are essential for monitoring environments that require precise temperature control, thereby aiding in applications such as cooking, brewing, or any scenario where temperature variations are critical.

ServiceNow

Telegraf can be used to send metric data directly to a ServiceNow MID Server REST endpoint. Metrics are formatted either using ServiceNow’s Operational Intelligence (OI) format or JSONv2 format, enabling seamless integration with ServiceNow’s Event Management and Operational Intelligence platforms. The serializer batches metrics efficiently, reducing network overhead by minimizing the number of HTTP POST requests. This integration allows users to quickly leverage metrics in ServiceNow for enhanced observability, proactive incident management, and performance monitoring, with ServiceNow’s operational intelligence capabilities.

Configuration

Fireboard

[[inputs.fireboard]]
  ## Specify auth token for your account
  auth_token = "invalidAuthToken"
  ## You can override the fireboard server URL if necessary
  # url = https://fireboard.io/api/v1/devices.json
  ## You can set a different http_timeout if you need to
  ## You should set a string using an number and time indicator
  ## for example "12s" for 12 seconds.
  # http_timeout = "4s"

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

Input and output integration examples

Fireboard

1. Smart Cooking Assistant: Integrate the Fireboard plugin into a smart kitchen ecosystem to monitor and adjust cooking temperatures in real-time. This setup can leverage the temperature data to automate processes like turning on or off heating elements based on the current cooking stage, ensuring optimal results.

2. Remote Brewing Monitoring: Use this plugin as part of a remote brewing setup for beer production. Brewers can monitor temperatures from multiple fireboards placed in different tanks and receive alerts when temperatures deviate from desired ranges, allowing for timely interventions.

3. Environmental Monitoring System: Incorporate this plugin into a broader environmental monitoring system that tracks temperature changes in various settings, from server rooms to greenhouses. This data can help maintain optimal conditions and can even be tied to automated cooling or heating systems for efficient climate control.

4. Automated Alerting for Temperature Sensitive Products: Employ the Fireboard plugin to monitor temperatures of products requiring specific storage conditions, such as pharmaceuticals or perishables. When temperature thresholds are breached, automated alerts could be sent to management systems to initiate corrective actions, thereby preventing spoilage.

ServiceNow

1. Proactive Incident Management: Utilize the Telegraf and ServiceNow integration to stream infrastructure and application metrics in real-time to ServiceNow Event Management. Automatically trigger incidents or remediation workflows based on thresholds, significantly reducing incident detection and response times.

2. End-to-End Application Monitoring: Deploy Telegraf agents across multiple layers of an application stack, sending performance metrics directly into ServiceNow. Leveraging ServiceNow’s Operational Intelligence, teams can correlate metrics across components, quickly identifying performance bottlenecks.

3. Dynamic CI Performance Tracking: Integrate Telegraf metrics with ServiceNow’s CMDB by using this plugin to push performance data, allowing automatic updates of Configuration Item (CI) health states based on live metrics. This ensures an accurate and current state of infrastructure health in ServiceNow.

4. Cloud Resource Optimization: Collect metrics from hybrid and multi-cloud infrastructures using Telegraf, streaming directly to ServiceNow. Leverage these metrics for real-time analytics, predictive capacity planning, and resource optimization, enabling proactive management and reduced operational costs.

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