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@viktoriiagolovtseva shared a post, 2 weeks, 1 day ago

Jira Action Items Functionality

Jira Action Items are a new feature introduced in Jira to help teams track small tasks inside a work item (issue) without needing to create subtasks. Instead of breaking out additional tickets for quick to-dos or follow-ups, you can now add lightweight checklists directly into rich text fields like ..

Zrzut ekranu 2026-01-02 152946
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Software Developer, RELIANOID

What is AWS (Amazon Web Services)?

AWS is a global public cloud platform that lets you run compute, storage, networking, databases, and more on demand, pay-as-you-go, and at scale across multiple Regions and Availability Zones. 👉 Build resilient architectures 👉 Automate everything with APIs & IaC 👉 Scale securely and globally in minu..

Knowledge base Why Deploy RELIANOID Load Balancer on AWS
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Vendor Payment Template for Jira

Vendor Payments Take Too Much Time And There Is a Way Out of the Vicious Cycle

Zrzut ekranu 2026-01-02 142203
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@laura_garcia shared a post, 2 weeks, 3 days ago
Software Developer, RELIANOID

✨ Thank You, 2025 — What a Year for RELIANOID! ✨

As the year comes to a close, we want to take a moment to look back and saythank youto everyone who has been part of RELIANOID’s journey in 2025. This year has been all aboutgrowth, innovation, and community: 🚀Product & Technology - Continued evolution ofRELIANOID Enterprise Edition, delivering high..

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@laura_garcia shared a post, 2 weeks, 4 days ago
Software Developer, RELIANOID

AI-driven cyberthreats are reshaping industrial security faster than many manufacturers expect.

As we approach 2026, attackers are already leveraging AI to automate reconnaissance, social engineering and intrusion workflows—often at machine speed. For manufacturing environments, where IT and OT increasingly converge, this creates a new risk landscape. In our latest article, we explore: - Why A..

Blog Manufacturing industry cyberthreats previsions 2026 RELIANOID
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.