Grafana

Grafana Self-Hosted, Deploy in One Click

Grafana turns your data into interactive dashboards. Automatio deploys it to a private VPS with HTTPS in one click for total data control and zero seat limits.

self-hosted grafanagrafana dashboardopen source monitoringvps visualizationdocker grafanaself-hosted metrics
Grafana logo

Grafana

Analytics

Grafana is an open source platform for data visualization and monitoring.

monitoring

What you get when you deploy Grafana

The server we rent for it, what it costs, and what the installer will ask you.

Server
CX23 · 2 vCPU · 4 GB RAM
From
$9/month
Setup
No configuration required

Included with every deployment

  • Dedicated server, one app per machine
  • HTTPS certificate issued automatically
  • Free subdomain, custom domain optional
  • Restart, resize, snapshot and restore

The project

Everything this page links to outside Automatio.

Deploy Grafana in one click

On your own server, with your own data. No terminal, no Docker commands, no certificate setup.

  1. 1

    Pick a size

    Start on the smallest server that fits the app. Resize later without reinstalling.

  2. 2

    Press deploy

    We rent the server, install the app with Docker, and point a subdomain at it.

  3. 3

    Watch it come up

    Provisioning runs unattended and takes a few minutes. When the HTTPS certificate lands, the app is live and your login details are on the deployment page.

Server size

Billed monthly with your Automatio subscription. Destroy the server any time and the charge stops.

Key Capabilities

Explore what Automatio can do for this use case

Unified Dashboarding

Create flexible dashboards that adapt to your data using template variables. This allows a single view to monitor multiple servers or applications by selecting from a dropdown menu. The layout supports multi-panel interactive grids for consistent reporting.

  • 1Template variables for dynamic filtering
  • 2Multi-panel interactive layouts
  • 3Shared dashboard links for team visibility
  • 4Library panels for reusable dashboard components

Key Capabilities

  • Unified Dashboarding

    Create flexible dashboards that adapt to your data using template variables. This allows a single view to monitor multiple servers or applications by selecting from a dropdown menu. The layout supports multi-panel interactive grids for consistent reporting.

    1. Template variables for dynamic filtering
    2. Multi-panel interactive layouts
    3. Shared dashboard links for team visibility
    4. Library panels for reusable dashboard components
  • Broad Data Integration

    Connect to dozens of databases and monitoring services without moving your data. It acts as a visualization layer for sources like Prometheus, SQL, and cloud APIs. You can specify a data source on a per-query basis.

    1. Native Prometheus and Loki support
    2. PostgreSQL and MySQL connectors
    3. Elasticsearch and InfluxDB integration
    4. Mixed data source queries in a single panel
  • Visual Alerting

    Define threshold-based alert rules directly on your graphs using a visual editor. The system continuously evaluates your metrics and sends notifications when conditions are met. This ensures you are notified of infrastructure issues immediately.

    1. Slack and Discord webhook support
    2. Multi-dimensional alerting logic
    3. State history and evaluation logs
    4. Silence and mute timing controls
  • Data Exploration

    Drill down into your telemetry through ad-hoc queries and dynamic drilldowns. The Explore mode allows you to switch from metrics to logs with preserved label filters. This helps identify root causes by comparing time ranges side-by-side.

    1. Split-screen comparison view
    2. Live streaming for application logs
    3. Historical query tracking
    4. Preserved label filters across different views

Why self-host Grafana

What to know first

Eliminate Per-Seat Pricing: Managed providers often charge per user or per metric ingested. Self-hosting allows you to add your entire team without increasing your monthly bill.
Resource Management: While the core app is efficient, production instances recommend 2GB to 4GB of RAM. Complex dashboards with high-frequency queries will consume significant CPU.
Absolute Data Privacy: Keep sensitive infrastructure logs and metrics on your own dedicated hardware rather than sending them to a third-party cloud environment.
SMTP for Notifications: A self-hosted instance requires you to provide your own SMTP credentials to send email alerts. Without this, you are restricted to webhooks for notifications.
Full Plugin Freedom: Install any community-developed plugin or custom data source without being restricted by the allow-lists found in managed SaaS platforms.
Maintenance Responsibility: You are responsible for triggering version upgrades via the deployment dashboard and checking for breaking changes in panel types or data source plugins.
No Data Egress Costs: Running the visualization layer near your databases avoids the costs associated with transferring large telemetry datasets to external monitoring tools.

Managed, DIY, or One-Click?

The three realistic ways to run {name}, compared honestly.

Setup Time

Managed SaaSInstant
DIY on a VPS1-2 Hours
Automatio one-clickA few minutes

Maintenance

Managed SaaSZero
DIY on a VPSHigh (Manual patches)
Automatio one-clickMinimal (Automated updates)

Data Privacy

Managed SaaSShared Cloud
DIY on a VPSPrivate Server
Automatio one-clickPrivate Server

Cost Shape

Managed SaaSPer User/Metric
DIY on a VPSVariable VPS
Automatio one-clickFixed Monthly

SSL/HTTPS

Managed SaaSIncluded
DIY on a VPSManual Certbot
Automatio one-clickAutomatic Let's Encrypt

Who this is for

People who actually run Grafana on their own server, and what changes when they do.

a developer monitoring side projects

Managed observability often costs more than the actual application hosting.

Get professional-grade monitoring for just the cost of a small VPS without metric limits.

  • Connect to a local database
  • Set up uptime alerts to Slack
  • Visualize API response times

a DevOps engineer

Infrastructure data is scattered across multiple disconnected tools and cloud providers.

Create a single pane of glass for all systems without paying for additional seat licenses.

  • Aggregate Prometheus and AWS metrics
  • Build team-wide health dashboards
  • Configure alerting for staging clusters

a homelab tinkerer

Privacy concerns with cloud-based home automation and network monitoring.

Keep all local network and sensor statistics within your own private network environment.

  • Track internet speed and latency
  • Monitor CPU temperatures on a Pi cluster
  • Log smart home environmental sensors

a data analyst

Business intelligence tools are too expensive to share with the entire company.

Provide interactive SQL dashboards to the whole team for a fixed monthly infrastructure cost.

  • Visualizing sales trends from SQL
  • Sharing weekly growth reports
  • Exploring user behavior logs

About This App

What this app does and where it fits.

The Open Visualization Standard

Grafana is the industry-standard observability platform, built on the principle that you should not have to move your data to a specific vendor to visualize it. Instead of acting as a database itself, it connects to your existing data sources, whether they are time-series databases like Prometheus, logging systems like Loki, or traditional SQL databases. It provides a unified interface to query and display that information. Originally released in 2014, it has matured into a robust ecosystem used by millions of developers for infrastructure monitoring, business intelligence, and IoT tracking.

How the Platform Functions

The architecture consists of a backend server written in Go and a sophisticated frontend built with React. It does not store the metrics themselves. Instead, it provides a specialized query editor for every data source that speaks its native language, such as SQL or Flux. When you load a dashboard, the backend proxies those requests to the respective data sources, processes the results, and sends them to your browser where they are rendered into charts. This design allows you to mix data from multiple environments, such as a local database and a remote cloud API, into one view without data duplication.

First Hour Experience

A new installation begins with adding a Data Source. For infrastructure monitoring, this usually involves pointing the application at a Prometheus endpoint. Once connected, you create panels by writing queries to pull specific metrics. Because the community is large, many users avoid manual setup by importing pre-configured dashboards from the official repository. You can paste a dashboard ID and immediately see graphs of your system health. The tool is highly composable, allowing you to build everything from simple line graphs to complex heatmaps and state timelines.

Positioning and Alternatives

In the observability market, it sits alongside tools like Kibana or proprietary platforms like Datadog. While Kibana is deeply integrated with the Elasticsearch ecosystem, this platform's primary strength is its "big tent" approach to data. It is the preferred choice for teams who want to avoid vendor lock-in and require a tool that can aggregate data from legacy SQL databases and modern cloud-native systems simultaneously. By self-hosting, you unlock the full power of the platform, including custom plugins and unlimited users, without the scaling costs associated with managed SaaS monitoring.

About This App

Community Feedback

See what the community thinks about Grafana

Pros: You own and control your own data. Cons: YOU own and control your own data.
ObeseWizard
reddit
Previously you could rely on the 6figure salary SRE's that would fix the issues at google... now it is on you.
Funny-Ship-1945
reddit
The benefit of privacy has to be greater than the cost of monthly subscriptions... Which it is for me.
WonderfulCloud9935
reddit
Grafana itself is pretty simple to run, it's the data sources that usually need the tuning.
u/DevOpsNinja
reddit
I prefer the OSS version because I can install plugins that the Cloud version blocks.
@sysadmin_daily
twitter
Self-hosting Grafana is a rite of passage for every homelab enthusiast.
@homelab_pro
twitter

Related Videos

Watch tutorials, reviews, and discussions about Grafana

G is for Grafana and it's the front end UI where you can visualize your data.

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Pro Tips

Expert tips to help you get the most out of Grafana and achieve better results.

Start with 4GB RAM

While the core app is lightweight, selecting the CX23 ($9/mo) tier provides the 4GB of RAM needed for smooth performance when running multiple dashboards.

Import Community Dashboards

Do not build every panel from scratch. Use dashboard IDs from the official library to quickly visualize standard metrics like Node Exporter or Docker stats.

Use Webhooks for Alerts

If you do not want to manage an SMTP server, use Slack or Discord webhooks for instant notifications about infrastructure failures.

Testimonials

What Our Users Say

Join thousands of satisfied users who have transformed their workflow

Jonathan Kogan

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

Ben Bressington

CTO, AiChatSolutions

Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!

Sarah Chen

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

Jonathan Kogan

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

Ben Bressington

CTO, AiChatSolutions

Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!

Sarah Chen

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.