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Deploy RELIANOID Load Balancer Community Edition v7 on AWS in minutes with Terraform.

⚡ Deploy RELIANOID Load Balancer Community Edition v7 on AWS in minutes with Terraform. From zero to a fully functional load balancer — automated, reproducible, and ready to go. 👉 Follow the step-by-step guide and get started fast. #Terraform#AWS#InfrastructureAsCode#DevOps#RELIANOID#Automation http..

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𝗨𝗞 𝗣𝗦𝗧𝗜 𝗔𝗰𝘁: 𝗔 𝗡𝗲𝘄 𝗘𝗿𝗮 𝗳𝗼𝗿 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗲𝗱 𝗗𝗲𝘃𝗶𝗰𝗲 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆

🔐 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗨𝗞 𝗣𝗦𝗧𝗜 𝗔𝗰𝘁: 𝗔 𝗡𝗲𝘄 𝗘𝗿𝗮 𝗳𝗼𝗿 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗲𝗱 𝗗𝗲𝘃𝗶𝗰𝗲 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 The UK is raising the bar on cybersecurity with the Product Security and Telecommunications Infrastructure (PSTI) Act, now in force since April 2024. As cyber threats continue to grow, this regulation introduces a baseline for ..

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FAUN.dev()

Introduction to PostgreSQL Indexes

This post is for developers that have an intuitive knowledge of what database indexes are, but don’t necessarily know how they work internally, what are the tradeoffs associated with indexes, what are the types of indexes provided by postgres and how you can use some of its more advanced options to .. 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.