Graphite
Graphite is an open-source monitoring tool that stores and graphs numeric time-series data. It is composed of three software components: Carbon (a Twisted daemon that listens for time-series data), Whisper (a fixed-size database for storing time-series data), and Graphite-Web (a Django-based web application that renders graphs on demand). Graphite is widely used for system monitoring, application performance monitoring, and collecting metrics from various sources.
Core Information
#core_informationName, description, vendor website, logo, technology type and tags.
Overview & Role
Graphite is an open-source monitoring tool that stores and graphs numeric time-series data. It is composed of three software components: Carbon (a Twisted daemon that listens for time-series data), Whisper (a fixed-size database for storing time-series data), and Graphite-Web (a Django-based web application that renders graphs on demand). Graphite is widely used for system monitoring, application performance monitoring, and collecting metrics from various sources.
Domain Classification & Tags
Performance Profile
#performance_profileTypical read and write throughput, payload size and processing latency.
Read Performance Profile
Throughput: Thousands to tens of thousands of data points per second (e.g., 5,000-20,000 pts/sec for simple queries)
Payload Size: Varies greatly based on query range and number of series (e.g., 100s of KB to several MB for complex dashboards)
Processing Latency: Tens to hundreds of milliseconds for typical queries (e.g., 50-500 ms), can be seconds for very complex or long-range queries
Write Performance Profile
Throughput: Tens of thousands to hundreds of thousands of data points per second (e.g., 50,000-200,000 pts/sec per Carbon instance)
Payload Size: Small, typically individual metric updates or small batches (e.g., 100s of bytes to a few KB per batch)
Processing Latency: Low, typically single-digit milliseconds (e.g., 1-10 ms) for ingestion into Carbon
Architecture Diagram
#architecture_diagramReference diagram of the technology's internal architecture.
Features
#featuresCatalogued product capabilities and what each one does.
Empirical data for features is currently being compiled in the global catalog.
Typical Use Cases
#typical_use_casesScenarios the technology is commonly chosen for.
Empirical data for typical use cases is currently being compiled in the global catalog.
Known Customers
#known_customersPublicly referenced organisations using the technology.
Empirical data for known customers is currently being compiled in the global catalog.
Known Integrations
#known_integrationsOther products and services it is documented to work with.
Empirical data for known integrations is currently being compiled in the global catalog.
Connectors
#connectorsDirectional data connections to other technologies, with direction and maturity.
Empirical data for connectors is currently being compiled in the global catalog.
Reference Architectures
#reference_architecturesPublished architectures where the technology is used or mentioned.
No published reference architecture blueprints currently link to Graphite.
Security Features
#security_featuresBuilt-in security and access-control capabilities.
Empirical data for security features is currently being compiled in the global catalog.
Known Issues
#known_issuesDocumented limitations, defects and operational pitfalls.
Empirical data for known issues is currently being compiled in the global catalog.
Guidelines
#guidelinesRecommended practices for adopting and operating the technology.
Empirical data for guidelines is currently being compiled in the global catalog.
Standards & Compliance
#standards_and_complianceStandards, certifications and control requirements it maps to.
Empirical data for standards & compliance is currently being compiled in the global catalog.
Sources
#sourcesDocumentation and research references behind the recorded information.
Empirical data for sources is currently being compiled in the global catalog.
Expert Validation
#expert_validationWhether domain experts reviewed and confirmed the content.
Empirical data for expert validation is currently being compiled in the global catalog.