Hashicorp Nomad and OSI PI Integration
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Powerful Performance, Limitless Scale
Collect, organize, and act on massive volumes of high-velocity data. Any data is more valuable when you think of it as time series data. with InfluxDB, the #1 time series platform built to scale with Telegraf.
See Ways to Get Started
Input and output integration overview
This plugin allows users to collect metrics from Hashicorp Nomad agents in distributed environments.
This setup converts Telegraf into a lightweight PI Web API publisher, letting you push any Telegraf metric into the OSI PI System with a simple HTTP POST.
Integration details
Hashicorp Nomad
The Hashicorp Nomad input plugin is designed to gather metrics from every Nomad agent within a cluster. By deploying Telegraf on each node, it can connect to the local Nomad agent, typically available at ‘http://127.0.0.1:4646’. With this setup, users can systematically collect and monitor metrics related to the performance and status of their Nomad environment, ensuring they maintain a healthy and efficient cluster operational state. This plugin enables visibility into the operational aspects of Nomad, which is essential for maintaining reliable cloud infrastructure.
OSI PI
OSI PI is an data management and analytics platform used in energy, manufacturing, and critical infrastructure. The PI Web API is its REST interface, exposing endpoints such as /piwebapi/streams/{WebId}/value that accept JSON payloads containing a Timestamp
and Value
. By pairing Telegraf’s flexible HTTP output with this endpoint, any metric Telegraf collects—SNMP counters, Modbus readings, Kubernetes stats—can be written directly into PI without installing proprietary interfaces. The configuration above authenticates with Basic or Kerberos, serializes each batch to JSON, and renders a minimal body template that aligns with PI Web API’s single-value write contract. Because Telegraf already supports batching, TLS, proxies, and custom headers, this approach scales from edge gateways to cloud VMs, allowing organizations to back-fill historical data, stream live telemetry, or mirror non-PI sources (e.g., Prometheus) into the PI data archive. It also sidesteps older SDK dependencies and enables hybrid architectures where PI remains on-prem while Telegraf agents run in containers or IIoT devices.
Configuration
Hashicorp Nomad
[[inputs.nomad]]
## URL for the Nomad agent
# url = "http://127.0.0.1:4646"
## Set response_timeout (default 5 seconds)
# response_timeout = "5s"
## Optional TLS Config
# tls_ca = /path/to/cafile
# tls_cert = /path/to/certfile
# tls_key = /path/to/keyfile
OSI PI
[[outputs.http]]
## PI Web API endpoint for writing a single value to a PI Point by Web ID
url = "https://${PI_HOST}/piwebapi/streams/${WEB_ID}/value"
## Use POST for each batch
method = "POST"
content_type = "application/json"
## Basic-auth header (base64-encoded "DOMAIN\\user:password")
headers = { Authorization = "Basic ${BASIC_AUTH}" }
## Serialize Telegraf metrics as JSON
data_format = "json"
json_timestamp_units = "1ms"
## Render the JSON body that PI Web API expects
body_template = """
{{ range .Metrics -}}
{ "Timestamp": "{{ .timestamp | formatDate \"2006-01-02T15:04:05Z07:00\" }}", "Value": {{ index .fields 0 }} }
{{ end -}}
"""
## Tune networking / batching if needed
# timeout = "10s"
# batch_size = 1
Input and output integration examples
Hashicorp Nomad
-
Cluster Health Monitoring: Use the Hashicorp Nomad plugin to aggregate metrics across all nodes in a Nomad deployment. By monitoring health metrics such as allocation status, job performance, and resource utilization, operations teams can gain insights into the overall health of their deployment, quickly identify and resolve issues, and optimize resource allocation based on real-time data.
-
Performance Analytics for Job Execution: Leverage the metrics provided by Nomad to analyze job execution times and resource consumption. This use case enables developers to adjust job parameters effectively, optimize task performance, and illustrate trends over time, ultimately leading to increased efficiency and reduced costs in resource allocation.
-
Alerting on Critical Conditions: Implement alerting mechanisms based on metrics scraped from Nomad agents. By setting thresholds for critical metrics like CPU usage or failed job allocations, teams can proactively respond to potential issues before they escalate, ensuring higher uptime and reliability for applications running on the Nomad platform.
-
Integration with Visualization Tools: Use the data collected by the Hashicorp Nomad plugin to feed into visualization tools for real-time dashboards. This setup allows teams to monitor cluster workloads, job states, and system performance at a glance, facilitating better decision-making and strategic planning based on visual insights into the Nomad environment.
OSI PI
-
Remote Pump Stations Telemetry Bridge: Install Telegraf on edge gateways at oil-field pump stations, gather flow-meter and vibration readings over Modbus, and POST them to the PI Web API. Operations teams view real-time data in PI Vision without deploying heavyweight PI interfaces, while bandwidth-friendly batching keeps satellite links economical.
-
Green-Energy Micro-Grid Dashboard: Export inverter, battery, and weather metrics from MQTT into Telegraf, which relays them to PI. PI AF analytics can calculate real-time power balance and feed a campus dashboard; historical deltas inform sustainability reports.
-
Brownfield SCADA Modernization: Legacy PLCs logged to CSV are ingested by Telegraf’s
tail
input; each row is parsed and immediately sent to PI via HTTP, creating a live data stream that co-exists with archival files while the SCADA upgrade proceeds incrementally. -
Synthetic Data Generator for Training: Telegraf’s
exec
input can run a script that emits simulated sensor patterns. Posting those metrics to a non-production PI server through the Web API supplies realistic datasets for PI Vision training sessions without risking production tags.
Feedback
Thank you for being part of our community! If you have any general feedback or found any bugs on these pages, we welcome and encourage your input. Please submit your feedback in the InfluxDB community Slack.
Powerful Performance, Limitless Scale
Collect, organize, and act on massive volumes of high-velocity data. Any data is more valuable when you think of it as time series data. with InfluxDB, the #1 time series platform built to scale with Telegraf.
See Ways to Get Started
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