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@faun shared a link, 7 months, 1 week ago
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Coding emerges as generative AI’s breakout star

AI coding tools are revolutionizing software development, with many developers already using them for efficiency gains. OpenAI's latest model ranks in the top competitive coders percentile, showing rapid progress in reasoning abilities. AI coding tools are set to support huge context windows, potent.. read more  

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@faun shared a link, 7 months, 1 week ago
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‘AI is already eating its own’: Prompt engineering is quickly going extinct

AI prompt engineering has vanished as a standalone job, absorbed into general AI roles. New AI roles demand deeper technical expertise and are reshaping the job market quickly... read more  

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Amid DeepSeek Threat Sundar Pichai-Led Google Ups AI-Generated Coding By Over 30% To Boost Productivity

Google now churns out more than 55% of its code with AI, a big leap from last year's 25%.Meanwhile, CEO Sundar Pichai plays it cool, warning we're still in the AI toddler phase. But they're not just tinkering. Google's diving headfirst into AI Modes with Search, aiming to flip the script for a billi.. read more  

Amid DeepSeek Threat Sundar Pichai-Led Google Ups AI-Generated Coding By Over 30% To Boost Productivity
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@faun shared a link, 7 months, 1 week ago
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Cloudflare CEO: AI is killing the business model of the web

Google's dominance in search is fading due to AI, leading to a decline in traffic for content creators, threatening the web's sustainability... read more  

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@faun shared a link, 7 months, 1 week ago
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AI use damages professional reputation, study suggests

Duke University reveals a startling twist: AI tools like ChatGPT don't just supercharge work; they also slap users with unfair labels.Lazy. Replaceable. These biases stick to everyone, demographics be damned. Even when productivity soars, fellow workers and bosses often question AI users' competence.. read more  

AI use damages professional reputation, study suggests
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@anjali shared a link, 7 months, 1 week ago
Customer Marketing Manager, Last9

Angular OpenTelemetry Setup and Troubleshooting

Learn how to set up OpenTelemetry in your Angular app and troubleshoot common issues with tracing, instrumentation, and export configuration.

Opentelemetry tracing
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@faun shared a link, 7 months, 1 week ago
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1.33: Volume Populators Graduate to GA

Kubernetes v1.33unleashesvolume populatorsfor all to enjoy. Custom resources now power data sources. Say goodbye to pesky resource leaks, mishmash configurations, and sleepy metrics. Prepare for a wild ride of flexibility... read more  

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@faun shared a link, 7 months, 1 week ago
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v1.33: From Secrets to Service Accounts: Image Pulls Evolved

Kubernetes drops ephemeral KSA tokens into the mix for image pulls, putting long-lived credentials in the rearview mirror. Granular access? Absolutely rocks. Compliance? Consider it handled... read more  

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@faun shared a link, 7 months, 1 week ago
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Impromptu disaster recovery

K3s reconciler threw a fit. A botched YAML reformat doubled up resources and obliterated the author’s cluster, courtesy of the clumsy hands of language models. It’s a vivid postcard from the island of LLM limitations. Luckily, Hetzner’s system rebuild stepped in to save the day. But it wasn’t painle.. read more  

Impromptu disaster recovery
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@faun shared a link, 7 months, 1 week ago
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Anubis and caddy-docker-proxy

CKANfaced a barrage: 60 requests per second, courtesy of some mischief-maker in Brazil. EnterAnubis. With its SHA256 challenge, it cut through the chaos like a hot knife through warm Brazilian pão de queijo. Now, plugging Anubis intocaddy-docker-proxypractically did itself. The proxy auto-configures.. 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.