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 Slurm.. Activity
@varbear added a new tool TypeScript , 1 month ago.
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@devopslinks added a new tool Grafana Tempo , 1 month ago.
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@kala shared an update, 1 month 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 , 1 month ago.
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@devopslinks shared an update, 1 month 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, 1 month 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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@devopslinks shared an update, 1 month ago
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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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@devopslinks added a new tool Cloud KMS , 1 month ago.
At its core, Slurm uses a centralized controller (slurmctld) to track cluster state and assign work, while lightweight daemons (slurmd) on each node execute tasks and communicate hierarchically for fault tolerance. Optional components like slurmdbd and slurmrestd extend Slurm with accounting and REST APIs. A rich set of commands—such as srun, squeue, scancel, and sinfo—gives users and administrators full visibility and control.
Slurm’s modular plugin architecture supports nearly every aspect of cluster operation, including authentication, MPI integration, container runtimes, resource limits, energy accounting, topology-aware scheduling, preemption, and GPU management via Generic Resources (GRES). Nodes are organized into partitions, enabling sophisticated policies for job size, priority, fairness, oversubscription, reservation, and resource exclusivity.
Widely adopted across academia, research labs, and enterprise HPC environments, Slurm serves as the backbone for many of the world’s top supercomputers, offering a battle-tested, flexible, and highly configurable framework for large-scale distributed computing.
