# Realtime metrics with Go: Running InfluxDB in production

DevFeed: [Realtime metrics with Go: Running InfluxDB in production](<https://devfeed.tech/articles/realtime-metrics-with-go-running-influxdb-in-production-27927.md>)

Original publisher: [Read original article](<https://tech.trivago.com/post/2015-04-14-timeseries_influxdb/>)

Author: Xoan Vilas Follow

Published: 2015-04-14T00:00:00Z

Content type: tutorial

Language: en

Sources: [Trivago](<https://devfeed.tech/sources/trivago.md>)

Topics: [Time Series](<https://devfeed.tech/topics/time-series.md>), [telemetry](<https://devfeed.tech/topics/telemetry.md>), [Grafana](<https://devfeed.tech/topics/grafana.md>)

Tags: [backend](<https://devfeed.tech/tags/backend.md>), [devops](<https://devfeed.tech/tags/devops.md>), [grafana](<https://devfeed.tech/tags/grafana.md>), [influxdb](<https://devfeed.tech/tags/influxdb.md>), [metrics](<https://devfeed.tech/tags/metrics.md>), [monitoring](<https://devfeed.tech/tags/monitoring.md>), [production](<https://devfeed.tech/tags/production.md>)

## AI overview

Trivago describes its production setup for storing real-time metrics in InfluxDB, using Collectd to collect metrics and Grafana for dashboards. The article discusses the deployment, scale, data-model choices, and limitations of the InfluxDB version in use.

## Source excerpt

At trivago we love hotels above everything else, but we also like metrics, we love to measure everything, compare, decide, improve and then rinse and repeat. In this blog entry we are going to describe our experience with InfluxDB, a time series database that we are using to store some real time metrics.