Description: Grafana Tempo is a high volume, minimal dependency distributed tracing backend.
View grafana/tempo on GitHub ↗
The GitHub repository for Grafana Tempo, located at [grafana/tempo](https://github.com/grafana/tempo), is part of the broader ecosystem developed by Grafana Labs. Tempo is an open-source Jaeger-compatible tracing backend designed to handle large-scale distributed tracing data efficiently. It addresses challenges such as high cardinality and long-term storage requirements typical in distributed systems monitoring.
Tempo operates on a log-based storage model using OpenTelemetry (OTEL) traces, which are natively aligned with the observability ecosystem supported by Grafana Labs. The architecture of Tempo focuses on scalability and ease of operation, allowing it to process vast amounts of trace data across multiple Kubernetes clusters or cloud environments without compromising performance.
The repository provides comprehensive documentation, codebase details, and guides necessary for deploying and managing Tempo in various settings. Users can integrate it with other Grafana tools such as Loki for log aggregation and Mimir for metric storage, creating a unified observability platform. This integration is crucial for developers and operators who need to correlate logs, metrics, and traces efficiently.
Contributions to the repository are encouraged, following guidelines outlined in the `CONTRIBUTING.md` file. The project's license under Apache 2.0 ensures broad usage flexibility, making it appealing for both open-source projects and enterprise solutions. The active community around Grafana Labs frequently updates Tempo with new features, bug fixes, and performance improvements.
Tempo is particularly noted for its simplicity in setup compared to other tracing backends. It supports various data ingestion methods, including OpenTelemetry receivers and Jaeger's HTTP API, making it versatile for different deployment scenarios. Additionally, the repository includes a range of examples and best practice guides, helping users optimize their configurations.
The GitHub issues and discussions provide insights into ongoing development priorities and community interactions. These platforms are instrumental in gathering feedback from real-world usage to inform future enhancements. As part of Grafana Labs’ commitment to open-source software, Tempo's source code is openly available for review, allowing transparency and fostering trust within the developer community.
Overall, the Grafana Tempo repository serves as a crucial resource for teams aiming to implement robust observability solutions. By leveraging its capabilities in tracing data management, organizations can gain deeper insights into their system performance and reliability, ultimately driving better decision-making and operational efficiency.
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