NSQ and Sumo Logic 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
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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.
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Input and output integration overview
<p>The NSQ Telegraf plugin reads metrics from the NSQD messaging system, allowing for real-time data processing and monitoring.</p>
<p>The Sumo Logic plugin is designed to facilitate the sending of metrics from Telegraf to Sumo Logic’s HTTP Source. By utilizing this plugin, users can analyze their metric data in the Sumo Logic platform, leveraging various output data formats.</p>
Integration details
NSQ
<p>The NSQ plugin interfaces with NSQ, a real-time messaging platform, enabling the reading of messages from NSQD. This plugin is categorized as a service plugin, meaning it actively listens for metrics and events rather than polling them at regular intervals. With an emphasis on reliability, it prevents data loss by tracking undelivered messages until they are acknowledged by outputs. The plugin allows for configurations such as specifying NSQLookupd endpoints, topics, and channels, and it supports multiple data formats for flexibility in data handling.</p>
Sumo Logic
<p>This plugin facilitates the transmission of metrics to Sumo Logic’s HTTP Source, employing specified data formats for HTTP messages. Telegraf, which must be version 1.16.0 or higher, can send metrics encoded in several formats, including <code>graphite</code>, <code>carbon2</code>, and <code>prometheus</code>. These formats correspond to different content types recognized by Sumo Logic, ensuring that the metrics are correctly interpreted for analysis. Integration with Sumo Logic allows users to leverage a comprehensive analytics platform, enabling rich visualizations and insights from their metric data. The plugin provides configuration options such as setting URLs for the HTTP Metrics Source, choosing the data format, and specifying additional parameters like timeout and request size, which enhance flexibility and control in data monitoring workflows.</p>
Configuration
NSQ
Sumo Logic
Input and output integration examples
NSQ
<ol> <li> <p><strong>Real-Time Analytics Dashboard</strong>: Integrate this plugin with a visualization tool to create a dashboard that displays real-time metrics from various topics in NSQ. By subscribing to specific topics, users can monitor system health and application performance dynamically, allowing for immediate insights and timely responses to any anomalies.</p> </li> <li> <p><strong>Event-Driven Automation</strong>: Combine NSQ with a serverless architecture to trigger automated workflows based on incoming messages. This use case could involve processing data for machine learning models or responding to user actions in applications, thus streamlining operations and enhancing user experience through rapid processing.</p> </li> <li> <p><strong>Multi-Service Communication Hub</strong>: Use the NSQ plugin to act as a centralized messaging hub among different microservices in a distributed architecture. By enabling services to communicate through NSQ, developers can ensure reliable message delivery while maintaining decoupled service interactions, significantly improving scalability and resilience.</p> </li> <li> <p><strong>Metrics Aggregation for Enhanced Monitoring</strong>: Implement the NSQ plugin to aggregate metrics from multiple sources before sending them to an analytics tool. This setup enables businesses to consolidate data from various applications and services, creating a unified view for better decision-making and strategic planning.</p> </li> </ol>
Sumo Logic
<ol> <li> <p><strong>Real-Time System Monitoring Dashboard</strong>: Utilize the Sumo Logic plugin to continuously feed performance metrics from your servers into a Sumo Logic dashboard. This setup allows tech teams to visualize system health and load in real-time, enabling quicker identification of any performance bottlenecks or system failures through detailed graphs and metrics.</p> </li> <li> <p><strong>Automated Alerting System</strong>: Configure the plugin to send metrics that trigger alerts in Sumo Logic for specific thresholds such as CPU usage or memory consumption. By setting up automated alerts, teams can proactively address issues before they escalate into critical failures, significantly improving response times and overall system reliability.</p> </li> <li> <p><strong>Cross-System Metrics Aggregation</strong>: Integrate multiple Telegraf instances across different environments (development, testing, production) and funnel all metrics to a central Sumo Logic instance using this plugin. This aggregation enables comprehensive analysis across environments, facilitating better monitoring and informed decision-making across the software development lifecycle.</p> </li> <li> <p><strong>Custom Metrics with Dimensions Tracking</strong>: Use the Sumo Logic plugin to send customized metrics that include dimensions identifying various aspects of your infrastructure (e.g., environment, service type). This granular tracking allows for more tailored analytics, enabling your team to dissect performance across different application layers or business functions.</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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