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@viktoriiagolovtseva shared a post, 2 weeks, 4 days ago

Your Guide to Cloning in JIRA: How to Clone Issues in Different Ways

While cloning in Jira can be done in just a few clicks, it becomes less straightforward when you have special requirements. What if you need to clone an issue to a different project, clone tasks in bulk, or do this automatically on a schedule? In this article, we explore all these scenarios and provide you with examples and step-by-step instructions.

Zrzut ekranu 2025-12-30 142435
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@ilobe started using tool Snyk , 2 weeks, 4 days ago.
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@ilobe started using tool Weights & Biases , 2 weeks, 4 days ago.
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@ilobe started using tool Azure , 2 weeks, 4 days ago.
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@ilobe started using tool Amazon Web Services , 2 weeks, 4 days ago.
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@ilobe added a new tool Weights & Biases , 2 weeks, 4 days ago.
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@ilobe started using tool Python , 2 weeks, 5 days ago.
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@ilobe started using tool Docker Desktop , 2 weeks, 5 days ago.
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@ek121268 shared a link, 2 weeks, 5 days ago
VP of Product Marketing, http://checkmarx.com

Securing the Museum of Software in an AI Coding Tsunami

In Securing the Museum of Software in an AI Coding Tsunami, Eran Kinsbruner argues that software now consists of legacy, modern, and rapidly AI-generated code, creating unprecedented complexity and risk. Traditional AppSec can’t keep up with machine-speed development. He calls for a unified, developer-first, agentic AppSec platform that embeds security into coding workflows to prevent, fix, and secure all code eras before vulnerabilities reach repositories.

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@eon01 shared a post, 2 weeks, 5 days ago
Founder, FAUN.dev

100 GitHub Projects That Defined 2025: A Community-Driven Ranking

This article ranks the 100 developer tools developers acted on most in 2025, based on real interaction data from across FAUN·dev() ecosystem.

100 GitHub Projects That Defined 2025
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.