Grafana Cloud

Best Self Hosted Alternatives to Grafana Cloud

A curated collection of the 3 best self hosted alternatives to Grafana Cloud.

Grafana Cloud is a managed observability platform providing hosted Grafana dashboards, metrics (Prometheus), logs (Loki), traces (Tempo) and alerting. It lets teams monitor, visualize, and analyze application and infrastructure performance without managing backend infrastructure.

Alternatives List

#1
Netdata

Netdata

High-resolution real-time monitoring for servers, containers, and apps with interactive dashboards, alerting, and extensive integrations for troubleshooting and observability.

Netdata screenshot

Netdata is a real-time performance monitoring and troubleshooting platform for hosts, containers, and applications. It collects high-frequency metrics, visualizes them in interactive dashboards, and helps operators detect anomalies and investigate incidents quickly.

Key Features

  • High-resolution, per-second (and finer) metric collection with low-latency visualization
  • Interactive web dashboards with drill-down charts, correlations, and per-dimension views
  • Large library of collectors/plugins for OS, containers, databases, web servers, and common services
  • Health/alerting engine with configurable alarms and notifications (via popular notification channels)
  • Metrics export/streaming to external time-series/observability systems (commonly Prometheus/OpenMetrics, Graphite, InfluxDB, and others)
  • Distributed setups with agents and optional centralized aggregation/streaming (Netdata “streaming”)
  • Auto-discovery for many environments and integrations (including Kubernetes)

Use Cases

  • Troubleshoot sudden CPU, memory, disk I/O, or network regressions on Linux servers in real time
  • Monitor containers/Kubernetes nodes and quickly correlate resource saturation with specific services
  • Build alerting for infrastructure and application health signals and route notifications to on-call channels

Limitations and Considerations

  • Long-term retention and advanced historical analytics typically rely on external storage/backends rather than the agent alone
  • Some advanced features in Netdata’s ecosystem may be oriented around the vendor Cloud offering, depending on the deployment approach

Netdata is well-suited for operators who need immediate visibility into system performance and fast root-cause analysis. Its strength is high-frequency metrics plus an opinionated troubleshooting UI, complemented by broad integrations for alerting and exporting data to existing observability stacks.

77.3kstars
6.3kforks
#2
Dashy

Dashy

Dashy is a configurable self-hosted start page for organizing apps, links, widgets, and status checks with themes, auth, and integrations.

Dashy screenshot

Dashy is a self-hosted dashboard/start page for organizing links, applications, and widgets in a single web UI. It is designed for homelabs and teams who want a highly customizable “homepage” with sections, icons, search, and status information.

Key Features

  • YAML-driven configuration with UI-based editing for pages, sections, and items
  • Built-in widgets (e.g., clock, weather, system info, RSS, custom HTML/iframe embeds)
  • App/endpoint health checks and status indicators for links and services
  • Theming and layout customization (multiple themes, icons, grid options)
  • Authentication options (including basic auth / configurable auth integrations depending on deployment)
  • Search and quick navigation across all configured items
  • Multi-page support for separating environments (home, work, monitoring, etc.)
  • Docker-first deployment with simple upgrades and environment-based config

Use Cases

  • Homelab start page to launch and monitor self-hosted apps from one place
  • Team portal for internal tools, documentation links, and service status
  • Wallboard/kiosk dashboard for a NOC-style display of important endpoints

Limitations and Considerations

  • Not intended to be a full monitoring suite; health checks are lightweight and dashboard-oriented
  • Advanced authentication/SSO setups typically require additional reverse-proxy configuration

Dashy provides a practical, flexible landing page that can consolidate navigation, basic status, and informational widgets. It fits well as a lightweight “control center” alongside existing monitoring and management tools.

23.6kstars
1.7kforks
#3
Chartbrew

Chartbrew

Self-hosted dashboard and chart builder that connects to SQL/HTTP data sources, visualizes data with widgets, and supports sharing and embedding dashboards.

Chartbrew screenshot

Chartbrew is an open-source business intelligence (BI) and dashboarding application for building charts and dashboards from multiple data sources. It focuses on quickly creating visual reports, sharing them with teams, and embedding dashboards in other products.

Key Features

  • Connects to multiple data sources (SQL databases and API/HTTP sources) and reuses connections across projects
  • Dashboard builder with configurable chart widgets (multiple chart types) and layout controls
  • Query editor and parameterized queries for dynamic dashboards
  • Team-oriented access control for projects/dashboards and shareable links
  • Embedding options to include charts/dashboards in external web apps
  • Scheduled/automated report delivery and notifications (where configured)
  • Docker-first deployment with environment-based configuration

Use Cases

  • Internal KPI dashboards for product, operations, and finance teams
  • Customer-facing analytics embedded inside a SaaS admin portal
  • Lightweight BI reporting on top of PostgreSQL/MySQL plus API-based metrics

Limitations and Considerations

  • Feature depth is generally lighter than large enterprise BI suites (advanced semantic modeling/governance may be limited)
  • Data-source capabilities depend on the connector type and the underlying database/API

Chartbrew is a practical option for organizations that need a self-managed dashboard layer and embeddable analytics without adopting a full enterprise BI stack. It combines common BI essentials—connectors, charting, sharing, and automation—into a deployable open-source package.

3.5kstars
402forks

Why choose an open source alternative?

  • Data ownership: Keep your data on your own servers
  • No vendor lock-in: Freedom to switch or modify at any time
  • Cost savings: Reduce or eliminate subscription fees
  • Transparency: Audit the code and know exactly what's running