Top 9 APM Tools for Node.js Performance Monitoring
Compare top APM tools for Node.js — from open-source options to enterprise-grade platforms — and choose the best fit for your stack.
Updates and recent posts about Slurm.. Link
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Customer Marketing Manager, Last9
Top 11 Ruby APM Tools for 2025: A Performance-Driven Selection
Explore the top Ruby APM tools for 2025 — from open-source to enterprise — to monitor, trace, and optimize your app’s performance.
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Software Developer, RELIANOID
🔐 Defense-in-depth is no longer a theory—it's a necessity in industrial networks.
In our latest article, we explore how industrial sectors are implementing network segmentation and microsegmentation to protect critical systems. From vertical and horizontal segmentation models to modern OT firewalls and IoT gateways, we break down the architectures and tools driving zero-trust in ..
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@laura_garcia shared a post, 1 month, 1 week ago
Software Developer, RELIANOID
🌍 RELIANOID at DevOpsDays Almaty 2025 | 24 October | Almaty, Kazakhstan
DevOpsDays — a global series of technical conferences uniting software development and IT operations professionals — is coming to Almaty on 24 October 2025! 🎉 This event will gather local and international experts, engineers, and businesses to share insights, drive collaboration, and grow the DevOp..
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@thecodehazel started using tool React Redux , 1 month, 1 week ago.
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@thecodehazel started using tool Next.js , 1 month, 1 week ago.
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.
