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@laura_garcia shared a post, 11 hours ago

Software Developer, RELIANOID

𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 𝗮𝘁 𝗟𝗼𝗻𝗱𝗼𝗻 𝗧𝗲𝗰𝗵 𝗪𝗲𝗲𝗸 𝟮𝟬𝟮𝟲

🚀 𝗝𝗼𝗶𝗻 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 𝗮𝘁 𝗟𝗼𝗻𝗱𝗼𝗻 𝗧𝗲𝗰𝗵 𝗪𝗲𝗲𝗸 𝟮𝟬𝟮𝟲 📅 June 8–12, 2026 📍 London, United Kingdom London Tech Week brings together innovators, enterprises, startups, investors, and technology leaders to explore the future of AI, cybersecurity, cloud infrastructure, digital transformation, and emerging technologi..

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@work4bots started using tool Spring , 2 days, 7 hours ago.

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@work4bots started using tool Helm , 2 days, 7 hours ago.

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@work4bots started using tool Azure Pipelines , 2 days, 7 hours ago.

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@work4bots started using tool Azure Kubernetes Service (AKS) , 2 days, 7 hours ago.

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@work4bots started using tool Azure , 2 days, 7 hours ago.

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@work4bots added a new tool Bicep , 2 days, 7 hours ago.

Story FAUN.dev() Team

@eon01 shared a post, 2 days, 11 hours ago

Founder, FAUN.dev

AWX in Action is out, and there's a course

#red hat... #ansible #Tower #AWX

"AWX in Action: Ansible Orchestration at Scale" is now available in print and ebook. It covers running AWX on Kubernetes for real, not a sandbox demo that falls over the moment you add a second execution node.

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@varbear shared a link, 2 days, 12 hours ago

FAUN.dev()

When Code Becomes Cheap, What's Left?

Teams that use Claude Opus 4.6 for spec-driven development generate code at low cost, so they spend scarce developer time on review and QA. Developers create more value by judging code than by typing it... read more

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@varbear shared a link, 2 days, 12 hours ago

FAUN.dev()

I Did 11 Technical Interviews in 60 Days. Here Is the Pattern Nobody Tells You.

The key insight from the article is that at mid-to-senior backend levels, coding rounds matter least while judgment, communication, structure, and ability to defend decisions are critical. Focus on rehearsing key design, incident, and behavioral answer structures to succeed, not just LeetCode... read more

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.