Published Sep 7, 2026
Grafana Labs’ marketing and pricing materials reference customer case studies that include cost and performance claims, but many such case studies describe Grafana Cloud or the broader Grafana stack rather than Tempo in isolation. Reported ROI or savings are typically published by the vendor and do not always include independent verification or detailed methodologies.
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Representative paraphrased comments from community threads describe difficulties understanding ingestion and getting expected trace results during initial setup and operation.
Methodology gaps to flag: Vendor-published savings and ROI numbers often depend on assumptions about baseline telemetry costs and sampling/retention. Independent validation of such claims is rarely published alongside vendor case studies.
Grafana Tempo is an open-source, distributed tracing backend designed to store and query high volumes of trace data at comparatively low cost by relying primarily on object storage rather than maintaining a fully indexed trace store. It is part of Grafana Labs’ LGTM ecosystem (Loki for logs, Grafana for visualization, Tempo for traces, Mimir for metrics), and is commonly paired with OpenTelemetry (OTel) for instrumentation/collection and Grafana for visualization and correlation workflows.
The official product description emphasizes cost containment and scale, and integration between telemetry signals in Grafana. Grafana Labs announced Tempo 1.0 GA in mid-2021 and described the release as providing trace drilldowns and correlations for observability investigations.