Grafana Labs Unclaimed

Monitor, analyze, and act faster with AI-powered observability.

Efficiently aggregate, search, and visualize logs from cloud-native applications.

Achieve Comprehensive Tracing For Enhanced Observability.

Empower large-scale observability with Grafana Mimir's scalable metrics backend.

Optimize performance with Grafana Pyroscope's scalable continuous profiling capabilities.

Achieve Low-Overhead Observability With eBPF-Based Instrumentation.

Enhance Frontend Performance Monitoring With Grafana Faro.

Streamline telemetry collection for enhanced observability.

Enhance system performance through efficient load testing.

Monitor Kubernetes and cloud-native infrastructures with powerful metrics and alerting.

Enhance observability by instrumenting, collecting, and exporting telemetry data.

Enables scalable monitoring and storage of time-series metrics for observability.

Unified cloud-hosted observability combining logs, metrics, traces, SLOs, alerting, AI insights, and incident workflows for monitoring applications and infrastructure.

Collection, query, and long-term storage for Prometheus-compatible time-series metrics at scale, with high availability and advanced querying.

Multi-tenant log ingestion, organization, indexing, query, and visualization for cloud-native applications and services.

Trace collection, storage, retrieval, and automated correlation to support end-to-end request analysis and root-cause identification.

Agent, collector, and eBPF-based instrumentation to capture metrics, traces, and logs with low overhead and flexible export pipelines.

Client-side performance and error monitoring that captures real-user experience and frontend performance metrics for web applications.

Persistent profiling to surface CPU and performance hotspots over time for code-level optimization and capacity planning.

Scripted synthetic checks and cloud-based load testing to validate performance, reliability, and scalability under controlled conditions.

SLO creation, error-budget alerting, on-call scheduling, and automated incident-response workflows to support SRE and reliability operations.

Grafana Cloud

Grafana Cloud is Grafana's cloud-based observability platform that combines logs, traces, metrics, AI-powered insights, and alerting in a single cloud service. Built on Grafana's open source data sources, it provides AI/ML insights, automated root-cause analysis, SLO management, and flexible on-call and alerting capabilities. The platform includes logs powered by Loki, traces by Tempo, and metrics by Mimir/Prometheus, with integrations for application and infrastructure observability, testing, synthetic monitoring, and incident response workflows.

• Identify Anomalies
  AI/ML insights help users quickly detect unusual patterns in their data, significantly reducing operational overhead.
• Automated Analysis
  Rapidly pinpoints the cause of performance issues to streamline troubleshooting.
• Trigger Alerts
  Users can set customizable alerts based on conditions from various data sources.
• Monitor Application Performance
  Provides detailed insights into application metrics to enhance user experiences.
• Automate Incident Response
  Automated workflows to efficiently handle incidents, reducing downtime.
• Monitor Infrastructure Health
  Insightful metrics to guarantee smooth infrastructure operations.
• Manage On-Call Teams
  Offers tools for managing on-call schedules and responsibilities effectively.
• Integrate Easily
  Supports a wide range of integrations to link various data sources and services seamlessly.
• Set SLOs
  Convenient tools for managing Service Level Objectives to ensure service reliability.
• Conduct Synthetic Tests
  Allows users to test application performance under various conditions.
• Run Performance Tests
  Empowers users to conduct load tests on their applications for better performance tuning.

Grafana Loki

Grafana Loki is a multi-tenant log aggregation system designed to efficiently index and search logs from cloud-native applications, with tight Grafana integration for querying, visualizing, and alerting.

• Supports Multi-Tenant Scenarios
  Grafana Loki allows multiple users to ingest and search logs while maintaining privacy and isolation, making it ideal for multi-tenant environments.
• Visualize Logs with Ease
  Grafana Loki provides a powerful query interface integrated with Grafana dashboards, allowing users to visualize logs alongside other data seamlessly.
• Minimize Resource Usage
  Grafana Loki is optimized for low resource consumption while managing large volumes of logs, ensuring cost-effective operations.
• Organize Your Logs Effectively
  Easily categorize logs by labels, enabling quick access and management of log streams for troubleshooting and analysis.

Grafana Tempo

Grafana Tempo is a high-scale distributed tracing backend that provides trace storage, indexing, and retrieval to support end-to-end observability when used with Grafana.

• Supports High-Scale Distributed Tracing
  Grafana Tempo enables the storage and retrieval of large volumes of traces, ensuring quick and effective diagnosis of performance issues across complex systems.
• Visualize Tracing Data
  Grafana Tempo works closely with Grafana to provide users with rich visualization capabilities, helping teams interpret trace data effectively.
• Automate Trace Management
  Store and manage trace data effortlessly, enabling teams to focus on analysis rather than data handling.
• Leverage Community Contributions
  Being open-source allows for community collaboration, with enhancements and support from a global network of contributors.

Grafana Mimir

Grafana Mimir is a scalable, highly available metrics backend for Prometheus-compatible workloads, designed to power large-scale observability deployments.

• Support Massive Scalability
  Grafana Mimir supports massive scalability, enabling the collection and analysis of extensive metric data across diverse environments.
• Guarantee Continuous Access
  With its high availability architecture, Grafana Mimir guarantees continuous access to metrics, reducing downtime for observability use cases.
• Integrate with Existing Systems
  Being Prometheus-compatible, Grafana Mimir allows teams to integrate seamlessly with existing metric configurations without needing significant changes.
• Enable In-Depth Analysis
  Grafana Mimir provides advanced querying capabilities, empowering users to conduct in-depth analysis of their metrics for better insights.

Grafana Pyroscope

Grafana Pyroscope is a scalable persistent profiling backend that helps you observe where CPU time is spent in your code, enabling performance optimization.

• Identify Performance Hotspots
  Grafana Pyroscope offers powerful tools for continuous profiling, enabling developers to understand where CPU resources are spent in real-time applications. This capability leads to better resource allocation and enhanced overall performance.
• Visualize Data with Grafana
  Users can easily visualize profiling data within Grafana dashboards, facilitating immediate insights and comprehensive understanding of application performance in context.
• Retain Historical Data
  With persistent profiling, users can analyze historical performance trends over time, making it easier to identify regressions and optimize long-term performance metrics in applications.

Grafana Beyla

Grafana Beyla provides eBPF-based instrumentation for low-overhead observability, enabling dynamic tracing and monitoring.

• Enables Dynamic Tracing And Monitoring
  Grafana Beyla's eBPF auto-instrumentation allows for real-time, dynamic tracing of applications, enabling deeper insights with minimal performance overhead.

Grafana Faro

Grafana Faro is a frontend application observability web SDK that helps monitor front-end performance and errors, enabling real-user monitoring workflows.

• Monitor Frontend Performance
  Grafana Faro enables the tracking of real-user interactions, errors, and performance metrics in real-time, allowing developers to optimize user experiences based on live data.
• Gain Insights From Real Users
  By capturing data directly from users’ browsers, Grafana Faro helps teams gain insights into how applications perform in real-world scenarios, enabling targeted improvements.
• Connect With Grafana Effortlessly
  Grafana Faro is designed to work seamlessly with Grafana dashboards, consolidating performance data across tools to provide a comprehensive observability solution.

Grafana Alloy

Grafana Alloy is an OpenTelemetry Collector distribution with Prometheus pipelines, enabling unified telemetry collection and streaming for observability.

• Facilitates Unified Telemetry Collection
  This feature allows Grafana Alloy to collect, process, and export telemetry data in a unified manner, supporting enhanced observability across different data sources.
• Leverages Prometheus for Metrics
  Grafana Alloy utilizes Prometheus pipelines to efficiently gather, aggregate, and process metrics, enhancing real-time observability and analysis capabilities.
• Enhances Visualization Capabilities
  Grafana Alloy's integration with Grafana allows users to visualize telemetry data effectively, facilitating better decision-making through intuitive dashboards.
• Enables Real-Time Data Insights
  This capability ensures that telemetry data is streamed live, providing immediate insights and enabling swift reaction to performance issues.

Grafana k6

Grafana k6 is a load testing tool for engineering teams that helps validate performance, reliability, and scalability of services.

• Validate System Performance
  Grafana k6 allows teams to perform performance testing by simulating user activity, validating how systems respond under load to ensure reliability and scalability.
• Monitor Load Impact
  Grafana k6 provides robust metrics collection during load tests, helping teams monitor how application performance changes under stress.
• Automate Test Scenarios
  With powerful JavaScript-based scripting capabilities, teams can automate load tests tailored to specific scenarios, enabling thorough testing of application performance.
• Visualize Testing Results
  Integrate directly with Grafana to visualize results of load tests on dashboards, making it easier to understand and analyze performance data.
• Scale Testing Efforts
  Grafana k6 can be utilized for cloud-based load tests, allowing teams to scale tests based on usage patterns and system architecture.

Prometheus

Prometheus is an open-source metrics and alerting system designed to monitor Kubernetes and other cloud-native infrastructures.

• Enhance Infrastructure Monitoring
  With Prometheus, users can achieve robust monitoring capabilities tailored for Kubernetes and cloud-native environments, allowing for fine-grained observability of applications.
• Set Up Alerts Proactively
  Users can establish alert rules based on metrics to receive timely notifications, aiding in incident response and system maintenance.
• Collect Metrics Routinely
  Prometheus allows for efficient collection of metrics from configured targets at specified intervals, ensuring timely insights into performance and health.
• Visualize Metrics Effectively
  Prometheus seamlessly integrates with Grafana, enabling users to create insightful visualizations and dashboards that enhance data interpretation.
• Easily Integrate Services
  With a wide range of exporters available, Prometheus can quickly gather metrics from numerous systems and containers, enhancing monitoring capabilities.

OpenTelemetry

OpenTelemetry is a collection of tools, APIs, and SDKs to instrument, collect, and export telemetry data for observability.

• Enable Telemetry Collection
  Allows seamless tracking of application performance and trends by gathering essential telemetry data.
• Visualize Data Effectively
  Leverage Grafana's capabilities to create insightful dashboards and alerts based on collected telemetry data.
• Seamlessly Export Data
  Facilitates continuous monitoring and alerting through integration with the Prometheus ecosystem.

Graphite

Graphite provides scalable monitoring for time-series data, commonly used as a metrics backend in observability stacks.

• Stores Time-Series Data Efficiently
  Graphite excels in managing large volumes of time-series data, allowing users to store and query metrics effectively for performance monitoring and analysis.
• Creates Interactive Dashboards
  Graphite's visualization capabilities allow users to create comprehensive dashboards that help in tracking and analyzing metrics over time.
• Processes Metrics Quickly
  Designed for high performance, Graphite ensures that metrics can be processed and visualized in real-time, which is crucial for applications requiring immediate data insights.
• Integrates With Multiple Backends
  Graphite can be integrated with different data storage systems, providing flexibility for organizations to choose their preferred technology stack for metric data.