Wireguard and Clarify 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.
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Input and output integration overview
This plugin collects and reports statistics from the local Wireguard server, providing insights into its interfaces and peers.
The Clarify plugin allows users to publish Telegraf metrics directly to Clarify, enabling enhanced analysis and monitoring capabilities.
Integration details
Wireguard
The Wireguard plugin collects statistics on the local Wireguard server using the wgctrl library. It reports gauge metrics for Wireguard interface device(s) and its peers. This enables monitoring of various parameters related to Wireguard functionality, enhancing an administrator’s capability to assess the performance and status of their Wireguard setup. The metrics collected can lead to proactive management of the network interfaces, aiding in detecting and resolving issues before they impact service availability.
Clarify
This plugin facilitates the writing of Telegraf metrics to Clarify, a platform for managing and analyzing time series data. By transforming metrics into Clarify signals, this output plugin enables seamless integration of collected telemetry data into the Clarify ecosystem. Users must obtain valid credentials, either through a credentials file or basic authentication, to configure the plugin. The configuration also provides options for fine-tuning how metrics are mapped to signals in Clarify, including the ability to specify unique identifiers using tags. Given that Clarify supports only floating point values, the plugin ensures that any unsupported types are effectively filtered out during the publishing process. This comprehensive connectivity aligns with use cases in monitoring, data analysis, and operational insights.
Configuration
Wireguard
[[inputs.wireguard]]
## Optional list of Wireguard device/interface names to query.
## If omitted, all Wireguard interfaces are queried.
# devices = ["wg0"]
Clarify
[[outputs.clarify]]
## Credentials File (Oauth 2.0 from Clarify integration)
credentials_file = "/path/to/clarify/credentials.json"
## Clarify username password (Basic Auth from Clarify integration)
username = "i-am-bob"
password = "secret-password"
## Timeout for Clarify operations
# timeout = "20s"
## Optional tags to be included when generating the unique ID for a signal in Clarify
# id_tags = []
# clarify_id_tag = 'clarify_input_id'
Input and output integration examples
Wireguard
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Network Performance Monitoring: Monitor the performance metrics of your Wireguard interfaces, allowing you to track bandwidth usage and identify potential bottlenecks in real-time. By integrating these statistics into your existing monitoring system, network administrators can gain insights into the efficiency of their VPN configuration and make data-driven adjustments.
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Peer Health Checks: Implement health checks for Wireguard peers by monitoring the last handshake time and traffic metrics. If a peer shows a significant drop in RX/TX bytes or hasn’t completed a handshake in a timely manner, alerts can be triggered to address potential connectivity issues proactively.
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Dynamic Resource Allocation: Use the metrics collected by the Wireguard plugin to dynamically allocate or adjust network resources based on current bandwidth usage and peer activity. For instance, when a peer is heavily utilized, administrators can respond by allocating additional resources or adjusting configurations to optimize performance accordingly.
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Historical Data Analysis: Aggregate data over time to analyze historical trends in Wireguard device performance. By storing these metrics in a time-series database, teams can visualize long-term trends, assess the impact of configuration changes, and drive strategic decisions regarding network management.
Clarify
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Automated Data Monitoring: By integrating the Clarify plugin with sensor data collection, organizations can automate the monitoring of environmental conditions, such as temperature and humidity. The plugin processes metrics in real-time, sending updates to Clarify where they can be analyzed for trends, alerts, and historical tracking. This use case makes it easier to maintain optimal conditions in data centers or production environments, reducing the risk of equipment failures.
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Performance Metrics Analysis: Companies can leverage this plugin to send application performance metrics to Clarify. By transmitting key indicators such as response times and error rates, developers and operations teams can utilize Clarify’s capabilities to visualize and analyze application performance over time. This insight can drive improvements in user experience and help identify areas in need of optimization.
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Sensor Data Aggregation: Utilizing the plugin to push data from multiple sensors to Clarify allows for a comprehensive view of physical environments. This aggregation is particularly beneficial in sectors such as agriculture, where metrics from various sensors can be correlated to decision-making about resource allocations, pest control, and crop management. The plugin ensures the data is accurately mapped and transformed for effective analysis.
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Real-Time Alerts and Notifications: Implement the Clarify plugin to trigger real-time alerts based on predefined thresholds within the metrics being sent. For instance, if temperature readings exceed certain levels, alerts can be generated and sent to operational staff. This proactive approach allows for immediate responses to potential issues, enhancing operational reliability and safety.
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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