gNMI and Mimir 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
<p>The gNMI (gRPC Network Management Interface) Input Plugin collects telemetry data from network devices using the gNMI Subscribe method. It supports TLS for secure authentication and data transmission.</p>
<p>This plugin sends Telegraf metrics directly to Grafana’s Mimir database using HTTP, providing scalable and efficient long-term storage and analysis for Prometheus-compatible metrics.</p>
Integration details
gNMI
<p>This input plugin is vendor-agnostic and can be used with any platform that supports the gNMI specification. It consumes telemetry data based on the gNMI Subscribe method, allowing for real-time monitoring of network devices.</p>
Mimir
<p>Grafana Mimir supports the Prometheus Remote Write protocol, enabling Telegraf collected metrics to be efficiently ingested into Mimir clusters for large-scale, long-term storage. This integration leverages Prometheus’s well-established standards, allowing users to combine Telegraf’s extensive data collection capabilities with Mimir’s advanced features, such as query federation, multi-tenancy, high availability, and cost-efficient storage. Grafana Mimir’s architecture is optimized for handling high volumes of metric data and delivering fast query responses, making it ideal for complex monitoring environments and distributed systems.</p>
Configuration
gNMI
Mimir
Input and output integration examples
gNMI
<ol> <li> <p><strong>Monitoring Cisco Devices</strong>: Use the gNMI plugin to collect telemetry data from Cisco IOS XR, NX-OS, or IOS XE devices for performance monitoring.</p> </li> <li> <p><strong>Real-time Network Insights</strong>: With the gNMI plugin, network administrators can gain insights into real-time metrics such as interface statistics and CPU usage.</p> </li> <li> <p><strong>Secure Data Collection</strong>: Configure the gNMI plugin with TLS settings to ensure secure communication while collecting sensitive telemetry data from devices.</p> </li> <li> <p><strong>Flexible Data Handling</strong>: Use the subscription options to customize which telemetry data you want to collect based on specific needs or requirements.</p> </li> <li> <p><strong>Error Handling</strong>: The plugin includes troubleshooting options to handle common issues like missing metric names or TLS handshake failures.</p> </li> </ol>
Mimir
<ol> <li> <p><strong>Enterprise-Scale Kubernetes Monitoring</strong>: Integrate Telegraf with Grafana Mimir to stream metrics from Kubernetes clusters at enterprise scale. This enables comprehensive visibility, improved resource allocation, and proactive troubleshooting across hundreds of clusters, leveraging Mimir’s horizontal scalability and high availability.</p> </li> <li> <p><strong>Multi-tenant SaaS Application Observability</strong>: Use this plugin to centralize metrics from diverse SaaS tenants into Grafana Mimir, enabling tenant isolation and accurate billing based on resource usage. This approach provides reliable observability, efficient cost management, and secure multi-tenancy support.</p> </li> <li> <p><strong>Global Edge Network Performance Tracking</strong>: Stream latency and availability metrics from globally distributed edge servers into Grafana Mimir. Organizations can quickly identify performance degradation or outages, leveraging Mimir’s fast querying capabilities to ensure optimal service reliability and user experience.</p> </li> <li> <p><strong>Real-Time Analytics for High-Volume Microservices</strong>: Implement Telegraf metrics collection in high-volume microservices architectures, feeding data into Grafana Mimir for real-time analytics and anomaly detection. Mimir’s powerful querying enables teams to detect anomalies and quickly respond, maintaining high service availability and performance.</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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