Netflow and SQLite 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 Netflow plugin is designed to collect traffic flow data from devices using the Netflow v5, v9 and IPFIX protocols. By capturing detailed flow information, this plugin supports network observability and analysis, enabling administrators to monitor traffic patterns and performance metrics effectively.</p>
<p>Telegraf’s SQL output plugin stores metrics in an SQL database by creating tables dynamically for each metric type. When configured for SQLite, it utilizes a file-based DSN and a minimal SQL schema tailored for lightweight, embedded database usage.</p>
Integration details
Netflow
<p>The Netflow plugin serves as a collector for flow data using protocols such as Netflow v5, Netflow v9, and IPFIX. This plugin allows users to gather important flow metrics from devices that support these protocols, including a variety of operational insights about traffic patterns, source/destination information, and protocol usage. The plugin leverages templates sent by flow devices to decode incoming data correctly, and it supports private enterprise number mappings for vendor-specific information. With features like adjustable service addresses and buffer sizes, the plugin provides flexibility in how it can be deployed within various network architectures, making it an essential tool for network monitoring and analysis.</p>
SQLite
<p>The SQL output plugin writes Telegraf metrics to an SQL database using a dynamic schema where each metric type corresponds to a table. For SQLite, the plugin uses the modernc.org/sqlite driver and requires a DSN in the format of a file URI (e.g., ‘file:/path/to/telegraf.db?cache=shared’). This configuration leverages standard ANSI SQL for table creation and data insertion, ensuring compatibility with SQLite’s capabilities.</p>
Configuration
Netflow
SQLite
Input and output integration examples
Netflow
<ol> <li> <p><strong>Traffic Analysis and Visualization</strong>: Use the Netflow plugin to collect traffic flow data and visualize it in real-time using an analytics platform. Administrators can create dashboards that display traffic patterns and anomalies, helping them understand bandwidth usage and user behavior.</p> </li> <li> <p><strong>Network Performance Optimization</strong>: Integrate the Netflow plugin with performance monitoring tools to identify bottlenecks and optimize the network. Analyze collected metrics to pinpoint areas where network resources can be improved, enhancing overall system performance.</p> </li> <li> <p><strong>Anomaly Detection for Security</strong>: Leverage the Netflow data for security analysis by feeding it into an anomaly detection system. This can help identify unusual traffic patterns that may indicate potential security threats, enabling quicker responses to prevent breaches.</p> </li> <li> <p><strong>Customized Alerts for Network Events</strong>: Configure threshold-based alerts using the Netflow plugin metrics to notify network administrators of unusual spikes or drops in traffic. This proactive monitoring can help in quickly addressing potential issues before they escalate.</p> </li> </ol>
SQLite
<ol> <li><strong>Local Monitoring Storage</strong>: Configure the plugin to write metrics to a local SQLite database file. This is ideal for lightweight deployments where setting up a full-scale database server is not required.</li> <li><strong>Embedded Applications</strong>: Use SQLite as the backend for applications embedded in edge devices, benefiting from its file-based architecture and minimal resource requirements.</li> <li><strong>Quick Setup for Testing</strong>: Leverage SQLite’s ease of use to quickly set up a testing environment for Telegraf metrics collection without the need for external database services.</li> <li><strong>Custom Schema Management</strong>: Adjust the table creation templates to predefine your schema if you require specific column types or indexes, ensuring compatibility with your application’s needs.</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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