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@cristiandeluxe started using tool Next.js , 2 weeks, 5 days ago.

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@cristiandeluxe started using tool Laravel , 2 weeks, 5 days ago.

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@cristiandeluxe started using tool Kubectl , 2 weeks, 5 days ago.

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@cristiandeluxe started using tool Google GKE , 2 weeks, 5 days ago.

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@cristiandeluxe started using tool GNU/Linux , 2 weeks, 5 days ago.

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@cristiandeluxe started using tool Docker , 2 weeks, 5 days ago.

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@cristiandeluxe started using tool cPanel , 2 weeks, 5 days ago.

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@laura_garcia shared a post, 3 weeks, 1 day ago

Software Developer, RELIANOID

RELIANOID Live Demo

Behind every successful deployment, there’s a 𝗱𝗲𝗱𝗶𝗰𝗮𝘁𝗲𝗱 𝘁𝗲𝗮𝗺 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝗰𝗹𝗼𝘀𝗲𝗹𝘆 𝘄𝗶𝘁𝗵 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀 to 𝙙𝙚𝙡𝙞𝙫𝙚𝙧 𝙩𝙝𝙚 𝙧𝙞𝙜𝙝𝙩 𝙨𝙤𝙡𝙪𝙩𝙞𝙤𝙣 𝙖𝙩 𝙩𝙝𝙚 𝙧𝙞𝙜𝙝𝙩 𝙩𝙞𝙢𝙚. Today’s 𝗹𝗶𝘃𝗲 𝗱𝗲𝗺𝗼 𝘀𝗲𝘀𝘀𝗶𝗼𝗻 is a great example of how our engineers go beyond technology — providing 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲, 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗴𝘂𝗶𝗱𝗮𝗻𝗰𝗲, and a 𝗳𝘂𝗹𝗹𝘆 𝗽𝗲𝗿𝘀𝗼𝗻𝗮..

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@laura_garcia shared a post, 3 weeks, 2 days ago

Software Developer, RELIANOID

𝗖𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗜𝗻𝗰𝗶𝗱𝗲𝗻𝘁𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗦𝗲𝗰𝘁𝗼𝗿

🚨 𝗖𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗜𝗻𝗰𝗶𝗱𝗲𝗻𝘁𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗦𝗲𝗰𝘁𝗼𝗿 🚨 According to recent industry reports, 2025 saw a significant rise in high-severity cyber incidents across critical sectors: 🔹 IT: 23% 🔹 Government: 18% 🔹 Industrial: 18% The industrial and food sectors are becoming increasingly attractive..

high-severity incident per industries graph

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@sanjayaalpha859 started using tool Azure Pipelines , 3 weeks, 2 days ago.

Slurm Workload Manager is an open-source, fault-tolerant, and highly scalable cluster management and scheduling system widely used in high-performance computing (HPC). Designed to operate without kernel modifications, Slurm coordinates thousands of compute nodes by allocating resources, launching and monitoring jobs, and managing contention through its flexible scheduling queue.

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.