Grafana Tempo 2.9 Supercharges Distributed Tracing with LLM Integration
Grafana Tempo 2.9 debuts with MCP server support and TraceQL metrics sampling, enhancing data analysis and query efficiency.
Updates and recent posts about Grafana Tempo..
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@devopslinks added a new tool Grafana Tempo , 2 days, 5 hours ago.
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LangChain Secures $125M and Launches LangChain & LangGraph 1.0
LangChain raised $125 million to enhance its agent engineering platform, introducing LangChain and LangGraph 1.0 with new tools like the Insights Agent and a no-code agent builder, aiming to transform LLM applications into reliable agents.
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@devopslinks added a new tool Snapper , 2 days, 6 hours ago.
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SUSE Linux Enterprise 16 Launches with AI for Smarter Operations
SUSE releases Linux Enterprise Server 16, integrating AI to boost efficiency and cut costs, with features like secure AI integration and a 16-year support lifecycle.
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@devopslinks shared an update, 2 days, 19 hours ago
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Ubuntu 25.10 Takes a Bold Leap — Targets Modern CPUs with New amd64v3 Architecture
Ubuntu 25.10 introduces support for amd64v3 architecture variants, enhancing performance by targeting specific silicon variants, with full support expected in the 26.04 LTS release.
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Google Introduces Quantum-Safe KEMs in Cloud KMS for Future Security
Google introduces quantum-safe KEMs in Cloud KMS to counter future quantum computing threats, urging organizations to transition to post-quantum cryptography.
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Red Hat Joins Forces with NVIDIA to Bring CUDA Everywhere
Red Hat and NVIDIA partner to distribute the NVIDIA CUDA Toolkit across Red Hat platforms, aiming to simplify AI adoption and enhance developer experience.
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.
