Graphite was created by Chris Davis (chrismd) in 2006 while working at Orbitz. He needed a tool to monitor the performance of various systems and applications. Graphite was designed to store time-series data and render graphs on demand.
The name “Graphite” reflects its primary purpose: creating graphs from metrics data.
- Created to solve internal monitoring needs
- Three-component architecture: Carbon, Whisper, Graphite-Web
- Open-sourced under Apache License 2.0
- Gained popularity in the DevOps community
- Became the de facto standard for metrics storage
- Integration with collectd and StatsD
¶ 2011-2014 - Growth and Scaling
- Graphite-Web improvements
- Carbon relays for horizontal scaling
- Adoption by large tech companies
- Graphite 1.0 release (2017)
- Improved performance and scalability
- Better Docker support
¶ 2019-Present - Maintenance and Evolution
- Active maintenance by community
- Integration with modern stacks
- Competition from Prometheus and InfluxDB
1. Carbon (Storage Daemon)
- Receives metrics over network
- Writes to Whisper files
- Multiple daemons for scaling
2. Whisper (Time-Series Database)
- Fixed-size database files
- Automatic data aggregation
- Similar to RRDtool but simpler
3. Graphite-Web (Django Application)
- Renders graphs from stored data
- Dashboard creation
- REST API for data access
- Original: Single server, local files
- Modern: Ceres (new storage engine), distributed setups
Graphite has always been licensed under the Apache License 2.0, making it freely usable in commercial products.
Graphite is maintained but no longer sees major feature development:
- Bug fixes and security updates continue
- Community-driven development
- Many production deployments still rely on Graphite
- New projects often choose Prometheus or InfluxDB
| Version |
Year |
Notable Changes |
| 0.9.x |
2008-2016 |
Initial releases, core features |
| 0.10.x |
2016 |
Performance improvements |
| 1.0.x |
2017 |
Major milestone, stability |
| 1.1.x |
2019-2021 |
Bug fixes, minor improvements |
Graphite fundamentally influenced monitoring:
- Popularized time-series metrics storage
- Inspired Prometheus, InfluxDB, and others
- Established metrics naming conventions
- Created the metrics dashboard paradigm
| Tool |
Best For |
Differences from Graphite |
| Prometheus |
Cloud-native, Kubernetes |
Pull-based, PromQL, alerting |
| InfluxDB |
High cardinality |
Better compression, SQL-like query |
| VictoriaMetrics |
Large-scale |
Better performance, Prometheus-compatible |
| Mimir |
Multi-tenant |
Horizontal scaling, cloud-native |
For teams considering moving from Graphite:
- Prometheus: Best for Kubernetes/cloud-native
- InfluxDB: Better query language, active development
- VictoriaMetrics: Drop-in replacement, better performance
- Stay with Graphite: If it works and meets your needs
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