Join us

ContentUpdates and recent posts about kueue..
 Activity
@laurent-indermuehle started using tool Fedora , 3 weeks, 3 days ago.
 Activity
@laurent-indermuehle started using tool Ansible , 3 weeks, 3 days ago.
News FAUN.dev() Team Trending
@devopslinks shared an update, 3 weeks, 3 days ago
FAUN.dev()

2025 Internet Trends: Explosive AI Crawling Growth and the Rise of 30+ Tbps DDoS Attacks

In 2025, Internet growth was driven less by humans and more by AI, with AI crawling and user-triggered access surging while post-quantum encryption secured over half of human web traffic. Security risks intensified as record-breaking DDoS attacks topped 30 Tbps and government-imposed shutdowns accounted for nearly half of major global outages.

2025 Internet Trends: Explosive AI Crawling Growth and the Rise of 30+ Tbps DDoS Attacks
News FAUN.dev() Team
@kala shared an update, 3 weeks, 3 days ago
FAUN.dev()

Meta Acquires Autonomous AI Startup Manus for $3B

Manus AI

Meta has acquired Manus AI for $3 billion, integrating its autonomous AI agents into Meta's products. Manus will continue operations and expand services under Meta, excluding China due to the removal of Chinese ownership.

Manus AI
 Activity
@kala added a new tool Manus AI , 3 weeks, 3 days ago.
Story
@laura_garcia shared a post, 3 weeks, 3 days ago
Software Developer, RELIANOID

What is Load Balancing in DigitalOcean? ⚖️

A quick 3-minute read on how traffic is distributed across Droplets to improve performance, scalability, and availability—and how RELIANOID enhances it with advanced monitoring, security, and flexibility. 👉 Smart traffic distribution. High availability. Seamless scaling. #LoadBalancing#DigitalOcean#..

Knowledge base Load Balancing in DigitalOcean  RELIANOID
 Activity
@smnuman started using tool Visual Studio Code , 3 weeks, 5 days ago.
 Activity
@smnuman started using tool OpenGrok , 3 weeks, 5 days ago.
 Activity
@smnuman started using tool GitLab CI/CD , 3 weeks, 5 days ago.
 Activity
@smnuman started using tool GitHub Pages , 3 weeks, 5 days ago.
Kueue is a Kubernetes-native job queueing and workload management system designed for large-scale, mixed compute environments such as AI/ML training, batch workloads, and HPC workflows. Instead of scheduling individual Pods, Kueue operates at the job level, deciding when a job should run based on resource quotas, fair-sharing policies, cluster availability, and workload priorities.

Kueue integrates tightly with Kubernetes, working alongside the default scheduler rather than replacing it. It provides features such as all-or-nothing (gang) admission, workload preemption, quota-based sharing across teams or tenants, and support for advanced frameworks like JobSet and Ray. Its goal is to help Kubernetes clusters run efficiently under heavy load while ensuring that critical, latency-sensitive, or large training jobs receive the resources they need without starving lower-priority workloads.