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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

Lustre is an open-source, parallel distributed file system built for high-performance computing environments that require extremely fast, large-scale data access. Designed to serve thousands of compute nodes concurrently, Lustre enables HPC clusters to read and write data at multi-terabyte-per-second speeds while maintaining low latency and fault tolerance.

A Lustre deployment separates metadata and file data into distinct services—Metadata Servers (MDS) handling namespace operations and Object Storage Servers (OSS) serving file contents stored across multiple Object Storage Targets (OSTs). This architecture allows clients to access data in parallel, achieving performance far beyond traditional network file systems.

Widely adopted in scientific computing, supercomputing centers, weather modeling, genomics, and large-scale AI training, Lustre remains a foundational component of modern HPC stacks. It integrates with resource managers like Slurm, supports POSIX semantics, and is designed to scale from small clusters to some of the world’s fastest supercomputers.

With strong community and enterprise support, Lustre provides a mature, battle-tested solution for workloads that demand extreme I/O performance, massive concurrency, and petabyte-scale distributed storage.