How to install Facette on Ubuntu?

Facette installation involves building from source using Go; follow the INSTALL.md file for step-by-step instructions, which may include dependency management and compilation, making it more complex than apt-get installs.

Facette or Grafana: which is better for monitoring?

Facette is an open-source tool focused on multi-source visualization, but Grafana offers a more mature ecosystem with features like alerting and plugins. Choose Facette for specific backend flexibility, but Grafana for broader functionality and community support.

Does Facette work with Prometheus?

Based on the README, Facette currently supports collectd, Graphite, InfluxDB, and KairosDB, but not Prometheus natively. You might need custom integrations or check for community contributions to add support.

How to add a new data source in Facette?

Facette's modular architecture allows adding data sources through configuration; refer to the documentation for backend setup, but expect some technical overhead since it requires understanding the codebase and potential development changes.

Can Facette send email alerts for metric thresholds?

No, Facette is primarily a visualization tool and does not include built-in alerting capabilities. You would need to pair it with external systems for notifications, limiting its standalone utility in monitoring workflows.

Open-Awesome

facette

BSD-3-ClauseGo0.5.1

An open-source web application for visualizing time series data from multiple sources like collectd, Graphite, and InfluxDB.

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1.2k stars69 forks0 contributors

What is facette?

Facette is an open-source web application that visualizes time series data from various monitoring sources like collectd, Graphite, InfluxDB, and KairosDB. It provides graphs and dashboards to help users analyze system metrics and performance data in a unified interface.

Target Audience

System administrators, DevOps engineers, and developers who need to monitor and visualize time series data from multiple sources for infrastructure and application performance tracking.

Value Proposition

Developers choose Facette for its ability to aggregate and visualize time series data from diverse monitoring backends in a single web interface, offering an open-source alternative to proprietary monitoring dashboards with support for popular time series databases.

Overview

Time series data visualization software

Use Cases

Best For

Visualizing metrics from multiple time series databases in one dashboard
Creating custom monitoring dashboards for infrastructure performance
Aggregating data from collectd, Graphite, and InfluxDB for unified analysis
Building internal monitoring tools with open-source components
Displaying time series graphs for system and application metrics
Self-hosted monitoring visualization for teams needing data source flexibility

Not Ideal For

Teams requiring built-in real-time alerting and notification systems, as Facette focuses solely on visualization without alerting features
Projects using modern time series databases like Prometheus, since Facette's supported backends are limited to older systems such as Graphite and InfluxDB
Production environments needing stable, enterprise-ready software, given the README's warning about heavy changes and ongoing development

Pros & Cons

Pros

Multi-Source Integration

Supports multiple time series databases including collectd, Graphite, InfluxDB, and KairosDB, enabling unified visualization from diverse monitoring backends as highlighted in the README.

Modular Open Architecture

Designed with a flexible architecture to accommodate different data sources, making it extensible for custom integrations and future expansions.

Web-Based Dashboarding

Provides an accessible web interface for creating and viewing dashboards, simplifying the process of graphing time series data for analysis.

Cons

Development Instability

The README explicitly states that Facette is under development and subject to heavy changes, posing risks for production use due to potential breaking updates.

Limited Backend Support

Focuses on older backends like Graphite and InfluxDB, lacking native support for modern systems like Prometheus, which may hinder adoption in contemporary monitoring stacks.

Complex Installation Process

Installation requires building from source with detailed instructions in INSTALL.md, making setup more involved compared to pre-packaged or containerized alternatives.

Frequently Asked Questions

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