NSQ and Zabbix 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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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 NSQ Telegraf plugin reads metrics from the NSQD messaging system, allowing for real-time data processing and monitoring.</p>
<p>This plugin sends metrics to Zabbix via traps, allowing for efficient monitoring of systems and applications. It supports automated configuration and data sending based on dynamic metrics collected by Telegraf.</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>
Zabbix
<p>The Telegraf Zabbix plugin is designed to send metrics to Zabbix, an open-source monitoring solution, using the trap protocol. It supports various versions from 3.0 to 6.0, ensuring compatibility with recent updates. The plugin facilitates easy integration with the Zabbix ecosystem, allowing users to send collected metrics and monitor system performance seamlessly. Key functionalities include the ability to define the address and port of the Zabbix server, options for prefixing keys, determining the type of data sent (active vs. trapper), and features for low-level discovery (LLD) enabling dynamic item creation based on the metrics observed. Configuration options also allow for autoregistration and resending intervals for LLD data, ensuring that the metrics are up-to-date and relevant. Additionally, the trap format used for sending metrics is structured to facilitate efficient data transfer and processing in Zabbix.</p>
Configuration
NSQ
Zabbix
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>
Zabbix
<ol> <li> <p><strong>Dynamic Monitoring of Containerized Applications</strong>: Integration of the Zabbix plugin can be leveraged to monitor Docker containers dynamically. As containers are created and removed, the plugin can automatically update Zabbix with the appropriate metrics, ensuring that monitoring stays current without manual configuration. This enhances visibility into resource usage and performance metrics for microservices orchestrated with Kubernetes or Docker Swarm.</p> </li> <li> <p><strong>Real-Time Performance Monitoring with Auto-registration</strong>: By enabling the autoregister feature, the plugin can automatically register hosts in Zabbix based on the metrics received. This scenario provides a streamlined approach to add new hosts to monitoring without manual setup, which is particularly useful in environments where hosts may frequently spin up and down, such as serverless architectures or cloud-based deployments.</p> </li> <li> <p><strong>Leveraging Low-level Discovery for Flexible Metric Capture</strong>: Using low-level discovery, this plugin allows Zabbix to adaptively create items for metrics that are not predefined. In a scenario involving multiple network devices reporting different performance metrics, the plugin can dynamically inform Zabbix about new metrics as they appear, thus ensuring comprehensive monitoring capabilities that evolve with the monitored systems.</p> </li> <li> <p><strong>Centralized Monitoring of Distributed Systems</strong>: The Zabbix plugin can be utilized in a centralized monitoring setup for distributed systems where multiple Telegraf instances are running across different geographical locations. By sending all metrics to a central Zabbix server, organizations can achieve a holistic view of their infrastructure’s performance and make informed operational decisions.</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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