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1
Introduction
2
Agenda
3
About LinkedIn
4
Our Mission
5
Our Scale
6
Our Cost Management Platform
7
Fabric Architecture
8
Deployment Control Plane
9
Locker Container
10
Batch Jobs
11
Challenges
12
Kubernetes Performance
13
Kubernetes extensibility
14
Pluggable scheduler architecture
15
First use case
16
Jupiter Hub
17
Kubernetes Journey
18
Notebook Pod Crash
19
Debugging
20
Particle Networking
21
Pod Network
22
Pod Network Crash
23
Jupiter Hub Pod
24
Pod Preset
25
Batch Batch
26
Model Serving
27
Use Cases
28
Stack vs Kubernetes
29
Bringing both worlds together
30
Kerberos
31
Unified Topology
32
Wrap Up
Description:
Explore LinkedIn's journey in adopting Kubernetes for their next-generation cluster management system in this conference talk. Learn about the challenges faced and lessons learned during the integration process with LinkedIn's existing ecosystem. Discover how the company evaluated and decided to adopt Kubernetes' declarative API and extensible architecture to support heterogeneous compute workloads. Gain insights into LinkedIn's cluster management ecosystem, including RAIN, their resource management system. Understand the performance and extensibility challenges encountered with Kubernetes, and how LinkedIn addressed them through a pluggable scheduler architecture. Examine specific use cases such as Jupiter Hub, batch processing, and model serving. Compare the Stack vs Kubernetes approach and learn how LinkedIn aims to bring both worlds together. Delve into topics like Kerberos integration and unified topology as part of their adaptation process.

Unified and Pluggable Cluster Management Platform at LinkedIn

Linux Foundation
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