---
title: "Deploy InfluxDB"
description: "InfluxDB is a programmable and performant time series database."
category: "Analytics"
url: https://railway.com/deploy/influxdb-1
---

# Deploy InfluxDB

InfluxDB is a programmable and performant time series database.

**[Deploy InfluxDB on Railway](https://railway.com/template/influxdb-1)**

- **Creator:** André Lademann's Projects
- **Category:** Analytics
- **Total deploys:** 71

## Template content

### InfluxDB

- **Source:** https://github.com/vergissberlin/railwayapp-influxdb
- **Public domain:** Yes

## Documentation

# Deploy and Host

This repository packages **InfluxDB** for [Railway](https://railway.app/) using a Dockerfile-based build. Railway builds the image from `Dockerfile`, exposes the HTTP API and UI on port **8086**, and applies deploy settings from `railway.toml` / `railway.json` (including health checks and restart policy).

[![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/fwbafn?referralCode=2_sIT9)

**Quick deploy:** use the button above or connect this repo in Railway, set the required environment variables (see [README](README.md)), and deploy. After provisioning, use your Railway-generated HTTPS URL; clients typically connect on **443** behind Railway’s proxy.

## About Hosting

InfluxDB is an open-source, high-performance **time-series database** built for large volumes of timestamped data—metrics, events, sensor readings, and application telemetry. On Railway, the service runs as a container from the official `influxdb` image (default **2.7** in this template, overridable via `Dockerfile` `ARG version`), with `influxd` listening on `:8086`.

**Notable characteristics:**

- **Time-series storage:** Data is organized around time for fast historical and near-real-time reads and writes.
- **Flexible model:** Schema-less ingestion with **tags** (metadata for filtering) and **fields** (measured values).
- **Querying:** InfluxDB 2.x uses **Flux**; InfluxQL remains relevant in many integrations and older tooling.
- **Continuous queries / tasks:** Scheduled downsampling and rollups help control storage while keeping long-range aggregates.
- **Retention policies:** Automatic expiry and lifecycle rules reduce manual cleanup.
- **Performance:** Strong write and query throughput for monitoring and analytics workloads.
- **Ecosystem:** Pairs well with **Grafana**, **Telegraf**, and other observability and IoT tooling.

Hosting on Railway gives you managed TLS, a public URL, and straightforward environment-based configuration without operating your own VM cluster for a single database instance.

## Why Deploy

- **Central metrics and events store:** One place for application metrics, logs-derived series, and custom events.
- **Observability backend:** Feed Telegraf or application exporters into InfluxDB and visualize in Grafana.
- **IoT and sensor data:** Ingest high-cardinality time series with tags for device or location dimensions.
- **Fast iteration:** Railway deploys from Git; this template pins sensible defaults (Dockerfile build, health check path `/health`, restart on failure).
- **Secure bootstrap:** Initial org, bucket, admin user, and token are set via standard InfluxDB Docker init variables (see README).

## Common Use Cases

- **Monitoring and observability:** Store system and application metrics; query and alert via your stack (e.g. Grafana).
- **IoT analytics:** Collect readings from devices; filter and aggregate by tags.
- **Application performance:** Track latency, error rates, and business KPIs over time.
- **Dev and staging environments:** Stand up a dedicated time-series DB per project or branch strategy on Railway.
- **Prototyping pipelines:** Validate Telegraf → InfluxDB → Grafana (or similar) before production hardening.

## Dependencies for

**Runtime and clients**

- Any **InfluxDB 2.x–compatible client** or tool (official SDKs, Telegraf, Grafana InfluxDB datasource, `influx` CLI).
- **HTTPS access** through Railway’s edge when using the public URL (port **443** from the client’s perspective, as documented in the README).

**Data and operations**

- **Persistent volume** (recommended on Railway) if you need data to survive redeploys—ephemeral disks alone will not retain data long term.
- **Strong secrets:** Admin token and passwords must meet InfluxDB’s minimum lengths; store them in Railway variables or a local `.env` for development (never commit secrets).

### Deployment Dependencies

| Dependency | Role |
|------------|------|
| **Dockerfile** | Builds from `influxdb:${version}` (default 2.7), exposes `8086`, runs `influxd` with `--http-bind-address :8086`. |
| **Railway build config** | `railway.toml` / `railway.json`: `builder = DOCKERFILE`, optional `startCommand` alignment with `influxd`. |
| **Railway deploy config** | Health check `healthcheckPath: /health`, `healthcheckTimeout`, `restartPolicyType: ON_FAILURE`, retry limits. |
| **Environment variables** | Required: `DOCKER_INFLUXDB_INIT_USERNAME`, `DOCKER_INFLUXDB_INIT_PASSWORD`, `DOCKER_INFLUXDB_INIT_ORG`, `DOCKER_INFLUXDB_INIT_BUCKET`, `DOCKER_INFLUXDB_INIT_ADMIN_TOKEN`, `DOCKER_INFLUXDB_INIT_MODE=setup`, `PORT=8086` (see README). Optional: retention/replication-related settings as documented there. |
| **Official InfluxDB image** | Pulled from Docker Hub as the base image; version controlled via `Dockerfile` `ARG version`. |

For local testing, see `docker-compose.yml` and the README; for InfluxDB product docs, see [InfluxDB Documentation](https://docs.influxdata.com/) and [Railway Documentation](https://docs.railway.app/).


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