OPC UA and Azure Application Insights Integration
Powerful performance with an easy integration, powered by Telegraf, the open source data connector built by InfluxData.
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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.
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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 writes Telegraf metrics to Azure Application Insights, enabling powerful monitoring and diagnostics.</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>
Azure Application Insights
<p>The Azure Application Insights plugin integrates Telegraf with Azure’s Application Insights service, facilitating the seamless transmission of metrics from various sources to a centralized monitoring platform. This plugin empowers users to harness the capabilities of Azure Application Insights, a powerful application performance management tool, allowing developers and IT operations teams to gain valuable insights into the performance, availability, and usage of their applications. By employing this plugin, users can monitor application telemetry and operational data efficiently, contributing to better diagnostics and improved application performance.</p> <p>Key features of this plugin include the ability to specify an instrumentation key for the Application Insights resource, configure the endpoint URL for tracking, and enable additional diagnostic logging for a more comprehensive analysis. Furthermore, the plugin provides context tagging capabilities, allowing the addition of specific Application Insights context tags to enhance the contextual information associated with metrics being sent. These features collectively make the Azure Application Insights Output Plugin a vital tool for organizations looking to optimize their monitoring capabilities within Azure.</p>
Configuration
OPC UA
Azure Application Insights
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>
Azure Application Insights
<ol> <li> <p><strong>Application Performance Monitoring</strong>: Utilize the Azure Application Insights plugin to continuously monitor the performance of your web applications or microservices. By sending Telegraf metrics directly to Application Insights, teams can visualize real-time application performance data, enabling proactive tuning and optimization of application resources. This setup not only enhances the reliability of applications but also ensures user satisfaction through consistent performance monitoring.</p> </li> <li> <p><strong>Integrated Logging and Telemetry</strong>: Combine this plugin with centralized logging solutions to provide a comprehensive observability stack. By sending telecom data to Azure Application Insights, teams can correlate performance metrics with log data and gain deeper insights into application behavior, allowing for more efficient troubleshooting and root cause analysis.</p> </li> <li> <p><strong>Contextual Monitoring of Cloud Resources</strong>: Use the context tagging feature to enrich your application metrics with specific contextual information related to your cloud environment. This enhanced context can be invaluable for understanding the performance of cloud-native applications, enabling better scaling decisions and resource management based on real usage patterns.</p> </li> <li> <p><strong>Real-time Alerts Setup</strong>: Configure Application Insights to trigger alerts based on specific metrics received via this plugin. This allows teams to be notified of performance degradation or anomalies in real-time, enabling immediate action to mitigate issues and maintain high availability of applications.</p> </li> </ol>
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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