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Updates and recent posts about Slurm.. Course
@eon01 published a course, 1 month ago
Founder, FAUN.dev
News FAUN.dev() Team Trending
@kaptain shared an update, 1 month ago
FAUN.dev()
Kubernetes v1.35 Timbernetes Release: 60 Enhancements
Kubernetes v1.35, the Timbernetes Release, debuts with 60 enhancements, including stable in-place Pod updates and beta features for workload identity and certificate rotation.
Activity
@kaptain added a new tool Kubernetes Gateway API , 1 month ago.
News FAUN.dev() Team
@kala shared an update, 1 month ago
FAUN.dev()
Google Releases Magika 1.0: AI File Detection in Rust
Google releases Magika 1.0, an AI file detection system rebuilt in Rust for improved performance and security.
News FAUN.dev() Team Trending
@kala shared an update, 1 month ago
FAUN.dev()
Google’s Cloud APIs Become Agent-Ready with Official MCP Support
Google supports the Model Context Protocol to enhance AI interactions across its services, introducing managed servers and enterprise capabilities through Apigee.
Activity
@devopslinks added a new tool BigQuery , 1 month ago.
News FAUN.dev() Team Trending
@devopslinks shared an update, 1 month ago
FAUN.dev()
AWS Previews DevOps Agent to Automate Incident Investigation Across Cloud Environments
AWS introduces an autonomous AI DevOps Agent to enhance incident response and system reliability, integrating with tools like Amazon CloudWatch and ServiceNow for proactive recommendations.
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@devopslinks added a new tool ServiceNow , 1 month ago.
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@cmndrsp0ck started using tool Terraform , 1 month 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.
