Updates and recent posts about Grafana Tempo..

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@kala added a new tool Mistral AI Studio , 1 week, 2 days ago.

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@devopslinks shared an update, 1 week, 2 days ago

FAUN.dev()

GitLab 18.5 Debuts: Boosted Usability and AI-Powered Features

#AI inte... #vulnera... #GitLab ... #gitlab #AI

GitLab 18.5 introduces a new panel-based UI and AI-driven tools to enhance usability, streamline workflows, and improve security with features like automated vulnerability triage and Static Reachability Analysis.

GitLab 18.5 Debuts: Boosted Usability and AI-Powered Features

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@brooksamybrook gave 🐾 to 🌍 RELIANOID at DevOpsDays Almaty 2025 | 24 October | Almaty, Kazakhstan , 1 week, 4 days ago.

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@brooksamybrook gave 🐾 to Top 9 APM Tools for Node.js Performance Monitoring , 1 week, 4 days ago.

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@brooksamybrook gave 🐾 to OpenTelemetry Spans Explained: Deconstructing Distributed Tracing , 1 week, 4 days ago.

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@laura_garcia shared a post, 1 week, 4 days ago

Software Developer, RELIANOID

NEW RELEASE: RELIANOID 8.4 Enterprise Edition is here!

- We’re excited to announce the launch of RELIANOID 8.4, bringing greater performance, security, and automation to your Application Delivery Infrastructure. - What’s new in 8.4: - High-Performance Proxy – Now with HTTP/2 support and Hot Restart for seamless, zero-downtime updates. - Multi-Factor Aut..

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@anjali shared a link, 1 week, 4 days ago

Customer Marketing Manager, Last9

OpenTelemetry Spans Explained: Deconstructing Distributed Tracing

Understand how OpenTelemetry Spans capture, connect, and explain every operation in your distributed system for deeper visibility.

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@laura_garcia shared a post, 1 week, 5 days ago

Software Developer, RELIANOID

🔁 In case you missed it:Incident Response in 2025: Lessons Learned

🔁 In case you missed it: Our August blog post — “Incident Response in 2025: Lessons Learned” — looks back at a summer marked by major cyber incidents, from supply chain disruptions to large-scale data breaches. Discover how AI-driven detection, faster response strategies, and new resilience tools ar..

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@anjali shared a link, 1 week, 6 days ago

Customer Marketing Manager, Last9

Top 9 APM Tools for Node.js Performance Monitoring

Compare top APM tools for Node.js — from open-source options to enterprise-grade platforms — and choose the best fit for your stack.

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@anjali shared a link, 1 week, 6 days ago

Customer Marketing Manager, Last9

Top 11 Ruby APM Tools for 2025: A Performance-Driven Selection

Explore the top Ruby APM tools for 2025 — from open-source to enterprise — to monitor, trace, and optimize your app’s performance.

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.