TEMPO

TEMPO is a distributed tracing backend designed to efficiently store and query large volumes of trace data. It offers a scalable and cost-effective solution for managing trace data, making it ideal for large-scale systems and microservices architectures. TEMPO focuses on trace data storage without indexing, leveraging object storage solutions like AWS S3, GCS, or Azure Blob Storage to keep costs low. This approach allows for long-term trace retention at a reduced cost.

One of the key features of TEMPO is its ability to query traces based on IDs, making it easy to follow the lifecycle of a request or transaction across services. It integrates seamlessly with visualization tools, such as Grafana, to provide detailed visualizations of how data flows through applications. This integration enables users to quickly identify bottlenecks or failures in their systems. TEMPO also supports advanced trace visualization features, including service graphs and span filters, which help in pinpointing performance issues within distributed systems.

TEMPO's architecture is optimized for efficient trace ingestion and retrieval, handling millions of spans per second. It employs techniques like trace compaction and query caching to optimize storage and query performance. By combining these features, TEMPO provides a robust solution for distributed tracing, offering users a comprehensive view of their system's performance and behavior.