Updates and recent posts about Grafana Tempo..

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@laura_garcia shared a post, 5 months, 2 weeks ago

Software Developer, RELIANOID

Tesco’s latest outage is a reminder: uptime IS the customer experience.

Shoppers across the UK faced checkout failures, broken order updates, and Clubcard access issues as Tesco’s digital platforms suffered “intermittent” instability. In modern retail, even brief disruptions damage trust, loyalty, and sales. At RELIANOID, we help retailers stay resilient with intelligen..

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@anjali shared a link, 5 months, 2 weeks ago

Customer Marketing Manager, Last9

Instrumentation: Getting Signals In

See how instrumentation in OpenTelemetry helps track app issues, know the difference between auto and manual methods, and when to use them.

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@devopslinks added a new tool Syft , 5 months, 2 weeks ago.

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@kaptain added a new tool KubeLinter , 5 months, 2 weeks ago.

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@devopslinks added a new tool Grype , 5 months, 2 weeks ago.

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@kaptain added a new tool Hadolint , 5 months, 2 weeks ago.

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@varbear added a new tool Bandit , 5 months, 2 weeks ago.

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@devopslinks added a new tool JFrog Xray , 5 months, 2 weeks ago.

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@devopslinks added a new tool OWASP Dependency-Check , 5 months, 2 weeks ago.

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@varbear added a new tool pre-commit , 5 months, 2 weeks ago.

Grafana Tempo is a distributed tracing backend built for massive scale and low operational overhead. Unlike traditional tracing systems that depend on complex databases, Tempo uses object storage—such as S3, GCS, or Azure Blob Storage—to store trace data, making it highly cost-effective and resilient. Tempo is part of the Grafana observability stack and integrates natively with Grafana, Prometheus, and Loki, enabling unified visualization and correlation across metrics, logs, and traces.

Technically, Tempo supports ingestion from major tracing protocols including Jaeger, Zipkin, OpenCensus, and OpenTelemetry, ensuring easy interoperability. It features TraceQL, a domain-specific query language for traces inspired by PromQL and LogQL, allowing developers to perform targeted searches and complex trace-based analytics. The newer TraceQL Metrics capability even lets users derive metrics directly from trace data, bridging the gap between tracing and performance analysis.

Tempo’s Traces Drilldown UI further enhances usability by providing intuitive, queryless analysis of latency, errors, and performance bottlenecks. Combined with the tempo-cli and tempo-vulture tools, it delivers a full suite for trace collection, verification, and debugging.

Built in Go and following OpenTelemetry standards, Grafana Tempo is ideal for organizations seeking scalable, vendor-neutral distributed tracing to power observability at cloud scale.