Tagged articles

multi-scheduler

3 articles · Page 1 of 1
Cloud Architecture
Cloud Architecture
Jun 7, 2026 · Cloud Native

Deep Dive into Kubernetes Scheduler: From Scheduling Cycle to Managing Ten‑Thousands of Pods

This guide explains why the kube‑scheduler becomes a bottleneck in large clusters, walks through its architecture, scheduling cycle, queue mechanics, constraint handling, plugin framework, multi‑scheduler designs, production‑grade tuning, observability, and real‑world case studies for achieving stable, high‑throughput pod placement.

High ThroughputSchedulingkube-scheduler
0 likes · 37 min read
Deep Dive into Kubernetes Scheduler: From Scheduling Cycle to Managing Ten‑Thousands of Pods
Infra Learning Club
Infra Learning Club
Sep 23, 2024 · Cloud Native

How to Extend the Kubernetes Scheduler: Four Approaches

The article outlines four ways to extend the Kubernetes scheduler—Scheduler Extender, Scheduler Framework, deploying multiple schedulers, and a WebAssembly‑based plugin model—detailing their mechanisms, configuration steps, advantages, and drawbacks.

KubernetesScheduler ExtenderScheduler Framework
0 likes · 5 min read
How to Extend the Kubernetes Scheduler: Four Approaches
Baidu Geek Talk
Baidu Geek Talk
Aug 2, 2023 · Cloud Native

Baidu Intelligent Cloud GPU Container Virtualization 2.0: Advancements and Full-Scenario Practices

Baidu Intelligent Cloud’s GPU Container Virtualization 2.0 combines user‑mode and kernel‑mode isolation in a dual‑engine design that unifies scheduling of AI compute, rendering and encoding, supports mixed deployment and multi‑scheduler integration, and boosts GPU utilization across inference, offline tasks, autonomous‑driving simulation, and cloud‑gaming workloads.

AI workloadsContainer OrchestrationGPU virtualization
0 likes · 14 min read
Baidu Intelligent Cloud GPU Container Virtualization 2.0: Advancements and Full-Scenario Practices