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

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

Software Developer, RELIANOID

𝗗𝗲𝘃𝗗𝗮𝘆𝘀 • 𝗗𝗲𝘃𝗢𝗽𝘀 𝗣𝗿𝗼 • 𝗖𝘆𝗯𝗲𝗿𝗪𝗶𝘀𝗲𝗖𝗼𝗻 𝗘𝘂𝗿𝗼𝗽𝗲

🚀 𝗗𝗲𝘃𝗗𝗮𝘆𝘀 • 𝗗𝗲𝘃𝗢𝗽𝘀 𝗣𝗿𝗼 • 𝗖𝘆𝗯𝗲𝗿𝗪𝗶𝘀𝗲𝗖𝗼𝗻 𝗘𝘂𝗿𝗼𝗽𝗲 𝘛𝘩𝘳𝘦𝘦 𝘤𝘰𝘯𝘧𝘦𝘳𝘦𝘯𝘤𝘦𝘴. 𝘖𝘯𝘦 𝘦𝘤𝘰𝘴𝘺𝘴𝘵𝘦𝘮. 𝘜𝘯𝘭𝘪𝘮𝘪𝘵𝘦𝘥 𝘪𝘯𝘯𝘰𝘷𝘢𝘵𝘪𝘰𝘯. From May 19–22, 2026, 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 will join the unified experience of 𝗗𝗲𝘃𝗗𝗮𝘆𝘀, 𝗗𝗲𝘃𝗢𝗽𝘀 𝗣𝗿𝗼, and 𝗖𝘆𝗯𝗲𝗿𝗪𝗶𝘀𝗲𝗖𝗼𝗻 𝗘𝘂𝗿𝗼𝗽𝗲 in Vilnius. A unique event bringing together developers, DevOps engineers, cybersecu..

devdays_devops_pro_cyberwisecon_europe_vilnius_2026_relianoid

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@harshilmalvi started using tool Microsoft Power Platform , 3 weeks, 3 days ago.

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@harshilmalvi started using tool CloudSuite , 3 weeks, 3 days ago.

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@mashka posted an event AI Is Already Inside Your SDLC. Now What? by Xygeni , 3 weeks, 3 days ago.

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@mfahlandt shared a link, 3 weeks, 4 days ago

Customer Delivery Architect, Kubermatic

Last Week in Cloud Native

Last Week in Cloud Native (LWCN) is a weekly newsletter dedicated to keeping the Cloud Native community informed about the latest releases, news, and developments in the CNCF ecosystem.

📅 Published: every Monday

🌍 Language: English

💶 Price: free, no paywall

🧑‍💻 Publisher: Mario Fahlandt

We believe staying current with the rapidly evolving Cloud Native landscape shouldn’t require hours of research. LWCN distills the most important updates from across the ecosystem into a concise, actionable weekly digest — written in a neutral, journalistic tone, with no marketing fluff.

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@laura_garcia shared a post, 3 weeks, 4 days ago

Software Developer, RELIANOID

𝗡𝗲𝘄 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗔𝗱𝘃𝗶𝘀𝗼𝗿𝘆: 𝗗𝗶𝗿𝘁𝘆 𝗙𝗿𝗮𝗴 (𝗖𝗩𝗘-𝟮𝟬𝟮𝟲-𝟰𝟯𝟮𝟴𝟰 & 𝗖𝗩𝗘-𝟮𝟬𝟮𝟲-𝟰𝟯𝟱𝟬𝟬)

🚨 𝗡𝗲𝘄 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗔𝗱𝘃𝗶𝘀𝗼𝗿𝘆: 𝗗𝗶𝗿𝘁𝘆 𝗙𝗿𝗮𝗴 (𝗖𝗩𝗘-𝟮𝟬𝟮𝟲-𝟰𝟯𝟮𝟴𝟰 & 𝗖𝗩𝗘-𝟮𝟬𝟮𝟲-𝟰𝟯𝟱𝟬𝟬) Two newly disclosed 𝘓𝘪𝘯𝘶𝘹 𝘬𝘦𝘳𝘯𝘦𝘭 𝘷𝘶𝘭𝘯𝘦𝘳𝘢𝘣𝘪𝘭𝘪𝘵𝘪𝘦𝘴 — collectively known as Dirty Frag — impact specific 𝗜𝗣𝘀𝗲𝗰/𝗫𝗙𝗥𝗠 𝗽𝗮𝗰𝗸𝗲𝘁 𝗵𝗮𝗻𝗱𝗹𝗶𝗻𝗴 𝗽𝗮𝘁𝗵𝘀 in Linux. What does this mean for RELIANOID users? ✅ 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 𝗹𝗼𝗮𝗱 𝗯𝗮𝗹𝗮𝗻𝗰𝗶𝗻𝗴 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀 𝗮𝗿𝗲 𝗡..

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@varbear shared a link, 3 weeks, 4 days ago

FAUN.dev()

6 Multi-Agent Orchestration Design Patterns Every Developer Should Know

Chris Pietschmann walks through six multi-agent orchestration patterns (sequential pipeline, fan-out/fan-in, hierarchical delegation, consensus, event-driven, iterative refinement) and the state management primitives that let them compose... read more

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@varbear shared a link, 3 weeks, 4 days ago

FAUN.dev()

Adventures in 30 Years in Engineering Productivity

Carlos Arguelles collects a decade of writing on engineering productivity at Microsoft, Amazon, and Google, covering monorepo versus microrepo CI/CD philosophies, hermetic test environments, ML-based bug deduplication, code coverage debates, and the AI-driven shift toward autonomous validation of ge.. read more

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@varbear shared a link, 3 weeks, 4 days ago

FAUN.dev()

I Deleted My Clever Code and the Database Got Better

A first-person walkthrough of rewriting an embedded key-value store after a friend spotted that the lock-free ring buffer was writing to a slot before claiming ownership, with the rebuilt single-mutex version 76 lines smaller, more correct, and explicit about every tradeoff (fsync on every write, no.. 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.