Updates and recent posts about Lustre..

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@devopslinks added a new tool Fleet , 3 days, 16 hours ago.

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@kaptain added a new tool Rancher Kubernetes Engine (RKE2) , 3 days, 16 hours ago.

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@laura_garcia shared a post, 4 days ago

Software Developer, RELIANOID

🔥 𝗕𝗹𝗮𝗰𝗸 𝗙𝗿𝗶𝗱𝗮𝘆 𝗮𝘁 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗: 𝗘𝘅𝗰𝗹𝘂𝘀𝗶𝘃𝗲 𝗣𝗿𝗼𝗺𝗼𝘁𝗶𝗼𝗻𝘀 𝗔𝗿𝗲 𝗟𝗶𝘃𝗲! 🔥

This year, we’re taking Black Friday to the next level — with 𝘁𝗮𝗶𝗹𝗼𝗿𝗲𝗱 𝗽𝗿𝗼𝗺𝗼𝘁𝗶𝗼𝗻𝘀 designed specifically for our users, partners, and customers, who will receive their 𝗲𝘅𝗰𝗹𝘂𝘀𝗶𝘃𝗲 𝗼𝗳𝗳𝗲𝗿 𝗱𝗶𝗿𝗲𝗰𝘁𝗹𝘆 tomorrow, perfectly matched to their environment ➡️ 🎁 𝗖𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗲𝗱 𝗢𝗳𝗳𝗲𝗿𝘀 𝗳𝗼𝗿 𝗘𝘃𝗲𝗿𝘆 𝗡𝗲𝗲𝗱. 🚀 𝗗𝗼 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗸𝗻𝗼..

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@thiagoterzi shared a post, 4 days, 1 hour ago

CEO, dgt27

Overcoming Data Duplication in CRM Systems

Learn how to prevent and resolve CRM data duplication using automation, AI tools, and smart integrations like Marketo Salesforce integration to maintain cleaner data.

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@tim_david started using tool WordPress , 4 days, 4 hours ago.

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@tim_david started using tool Magento , 4 days, 4 hours ago.

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@tim_david started using tool HubSpot , 4 days, 4 hours ago.

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@tim_david started using tool Drupal , 4 days, 4 hours ago.

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@laura_garcia shared a post, 4 days, 22 hours ago

Software Developer, RELIANOID

🚀 New Deployment Guide: RELIANOID Enterprise Edition v8 on Azure with Terraform

We're excited to share a 1-minute deployment guide showing how to quickly launch the RELIANOID Load Balancer Enterprise Edition v8 on Microsoft Azure using our official Terraform module. 🔧 What’s inside the guide? Prerequisites (Terraform, Azure CLI, SSH keys) How to find the official Terraform modu..

terraform_relianoid_enterprise_azure_img2

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@thiagoterzi started using tool Salesforce Service Cloud , 4 days, 23 hours ago.

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.