Top 7 Python Libraries for Large-Scale Data Processing
This article covers Python libraries that make large-scale data processing faster, more scalable, and easier to manage across modern data workflows... read more
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Introducing Claude Opus 4.8
Claude Opus 4.8 delivers top-tier performance with honest and powerful collaboration, outpacing prior models and GPT-5.5 across multiple benchmarks. Opus 4.8's cutting-edge abilities and improved judgment set a new standard for enterprise AI, enhancing reliability and reasoning quality, ready for im.. read more
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Rethinking Search as Code Generation
Perplexity's engineers introduced Search as Code, and developers use its Python SDK to call low-level retrieval primitives instead of sending queries to one search endpoint... read more
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Intel: Our upcoming AI chip will be cheaper, run cooler than Nvidia, AMD options
Intel designed Crescent Island, an AI inference GPU, with lower-cost memory and air cooling, and plans to ship limited quantities this year... read more
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Top 15 DevOps Metrics and How to Read Them
DevOps metrics show how fast & reliable your team delivers software; valuable for saving money & building trust.DORA metricsonly part of the picture. Focus on key categories to understand if overall delivery is improving. Don't just measure, find the bottleneck for real improvement... read more
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A Forged Kernel Key and a Rootful Helper: Inside the CIFSwitch Linux Privilege Escalation
A researcher disclosed CIFSwitch, a Linux local privilege escalation flaw present since 2007. Unprivileged users can exploit the CIFS Kerberos mount helper to gain root access... read more
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Well-architected best practices for software supply chain security
AWS security teams define npm supply-chain defense as two tasks: limit credential blast radius and block unverified artifacts before production... read more
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The normal work of creating reliability
SREs should study how engineers keep systems reliable during routine work, including the adjustments they make before incidents occur. Tech teams have adoptedSafety-IIat a limited rate because they lack practical models for observing those adjustments... read more
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AWS MCP Server: Complete Guide for Building AI Agents on AWS
Learn how to build powerful AI agents on AWS MCP Server. A complete guide covering setup, architecture, tools, and real-world use cases.
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.
