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Slurm

Slurm is an open-source workload manager and job scheduler for Linux clusters, providing resource allocation, job execution, and queue management for large-scale high-performance computing environmen…

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Updates and recent posts about Slurm..

Posts
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@pramod_kumar_0820 shared a link, 3 weeks ago

Software Engineer, Teknospire

Java 26 Released 🚀: What’s New, What Matters & Why It’s Faster Than Ever

Java 26 (March 2026) is out, and while it’s not a headline-heavy release, it brings meaningful improvements where it counts — performance, networking, and concurrency.

Some notable updates:

🌐 HTTP/3 support (QUIC-based, lower latency, better reliability)

🧵 Structured Concurrency (Preview) for safer multithreading

⚡ JVM & GC optimizations improving startup and runtime performance

🧠 Continued evolution of pattern matching

🧪 Vector API (Incubator) for high-performance workloads

This release is less about flashy features and more about incremental improvements that impact real-world systems.

java_26_released_version

Link

@mmaksimovic shared a link, 3 weeks ago

Monitoring Your App Without Running Your Own Prometheus Stack

When to use Prometheus and when to look for other solutions.

Monitoring Your App Without Running Your Own Prometheus Stack

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@tellsaqib shared a link, 3 weeks ago

How Cloudways is manages its 90K servers fleet using Agentic SRE

Scaling Autonomous Site Reliability Engineering: Architecture, Orchestration, and Validation for a 90,000+ Server Fleet

How Cloudways is manages its 90K servers fleet using Agentic SRE

News FAUN.dev() Team Trending

@kala shared an update, 3 weeks, 2 days ago

FAUN.dev()

Anthropic Asked 81,000 People What They Want From AI. Here's What They Said.

#Study #researc... #Anthrop... #Claude #AI

Anthropic's global AI study surveyed 80,508 participants across 159 countries, revealing desires for more personal time and concerns about AI's unreliability and job displacement. Sentiments vary regionally, with lower-income countries seeing AI as an equalizer, while Western Europe and North America focus on governance issues. The study highlights a complex mix of hope and fear regarding AI's impact.

Anthropic Asked 81,000 People What They Want From AI. Here's What They Said.

Activity

@kala added a new tool Claude , 3 weeks, 2 days ago.

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@varbear shared a link, 3 weeks, 2 days ago

FAUN.dev()

How Slack Rebuilt Notifications

At Slack, notifications were redesigned to address the overwhelming noise issue by simplifying choices and improving controls. The legacy system had complex preferences that made it difficult for users to understand and control notifications. Through a collaborative effort, the team refactored prefe.. read more

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@varbear shared a link, 3 weeks, 2 days ago

FAUN.dev()

The Slow Collapse of MkDocs

On March 9, 2026 a former maintainer grabbed the PyPI package forMkDocs. The original author's rights got stripped. Ownership snapped back within six hours. Core development stalled for 18 months.Material for MkDocswent into maintenance. The ecosystem splintered intoProperDocs,MaterialX, andZensical.. read more

The Slow Collapse of MkDocs

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@varbear shared a link, 3 weeks, 2 days ago

FAUN.dev()

How we monitor internal coding agents for misalignment

AI systems are acting with more autonomy in real-world settings, with OpenAI focusing on responsibly navigating this transition to AGI by building capable systems and developing monitoring methods to deploy and manage them safely. OpenAI has implemented a monitoring system for coding agents to learn.. read more

How we monitor internal coding agents for misalignment

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@varbear shared a link, 3 weeks, 2 days ago

FAUN.dev()

Why I Vibe in Go, Not Rust or Python

In a world where the machine writes most of the code, Python lacks solid type enforcement, Rust is overly strict with complex lifetimes, while Go strikes the right balance by catching critical issues without hindering development velocity. The article argues in favor of Go over Python and Rust for A.. read more

Why I Vibe in Go, Not Rust or Python

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@varbear shared a link, 3 weeks, 2 days ago

FAUN.dev()

What if Python was natively distributable?

The Python ecosystem's insistence on solving multiple problems when distributing functions has led to unnecessary complexity. The dominant frameworks have fused orchestration into the execution layer, imposing constraints on function shape, argument serialization, control flow, and error handling. W.. 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.