OPC UA and VictoriaMetrics Integration
Powerful performance with an easy integration, powered by Telegraf, the open source data connector built by InfluxData.
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Time series database
Source: DB Engines
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Table of Contents
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
<p>The OPC UA plugin provides an interface for retrieving data from OPC UA server devices, facilitating effective data collection and monitoring.</p>
<p>This plugin enables Telegraf to efficiently write metrics directly into VictoriaMetrics using the InfluxDB line protocol, leveraging the performance and scalability features of VictoriaMetrics for large-scale time-series data.</p>
Integration details
OPC UA
<p>The OPC UA Plugin retrieves data from devices that communicate using the OPC UA protocol, allowing you to collect and monitor data from your OPC UA servers.</p>
VictoriaMetrics
<p>VictoriaMetrics supports direct ingestion of metrics in the InfluxDB line protocol, making this plugin ideal for efficient real-time metric storage and retrieval. The integration combines Telegraf’s extensive metric collection capabilities with VictoriaMetrics’ optimized storage and querying features, including compression, fast ingestion rates, and efficient disk utilization. Ideal for cloud-native and large-scale monitoring scenarios, this plugin offers simplicity, robust performance, and high reliability, enabling advanced operational insights and long-term storage solutions for large volumes of metrics.</p>
Configuration
OPC UA
VictoriaMetrics
Input and output integration examples
OPC UA
<ol> <li> <p><strong>Basic Configuration</strong>: Set up the plugin with your OPC UA server endpoint and desired metrics. This allows Telegraf to start gathering metrics from the configured nodes.</p> </li> <li> <p><strong>Node ID Setup</strong>: Use the configuration to specify specific nodes, such as temperature sensors, to monitor their values in real-time. For example, configure node <code>ns=3;s=Temperature</code> to gather temperature data directly.</p> </li> <li> <p><strong>Group Configuration</strong>: Simplify monitoring multiple nodes by grouping them under a single configuration—this sets defaults for all nodes in that group, thereby reducing redundancy in setup.</p> </li> </ol>
VictoriaMetrics
<ol> <li> <p><strong>Cloud-Native Application Monitoring</strong>: Stream metrics from microservices deployed on Kubernetes directly into VictoriaMetrics. By centralizing metrics, organizations can perform real-time monitoring, rapid anomaly detection, and seamless scalability across dynamically evolving cloud environments.</p> </li> <li> <p><strong>Scalable IoT Data Management</strong>: Use the plugin to ingest sensor data from IoT deployments into VictoriaMetrics. This approach facilitates real-time analytics, predictive maintenance, and efficient management of massive volumes of sensor data with minimal storage overhead.</p> </li> <li> <p><strong>Financial Systems Performance Tracking</strong>: Leverage VictoriaMetrics via this plugin to store and analyze metrics from financial systems, capturing latency, transaction volume, and error rates. Organizations can rapidly identify and resolve performance bottlenecks, ensuring high availability and regulatory compliance.</p> </li> <li> <p><strong>Cross-Environment Performance Dashboards</strong>: Integrate metrics from diverse infrastructure components—such as cloud instances, containers, and physical servers into VictoriaMetrics. Using visualization tools, teams can build comprehensive dashboards for end-to-end performance visibility, proactive troubleshooting, and infrastructure optimization.</p> </li> </ol>
Feedback
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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
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