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1
Intro
2
The Large Hadron Collider
3
High Energy Physics
4
Legacy Infrastructure
5
Grid Sites
6
Challenges
7
Cluster
8
Workflow
9
Example Workflow
10
The Problem
11
The HD Condor Operator
12
The HD Condor Implementation
13
Running HD Condor jobs with Argo
14
Conclusion
15
Questions
16
Storage
17
Workflows
18
Other tools
19
Other questions
20
Improvements
Description:
Explore how CERN leverages Kubernetes to analyze billions of particle collision events from the Large Hadron Collider while integrating legacy high-throughput computing systems. Learn about the challenges of processing massive datasets in particle physics research and how cloud-native technologies are revolutionizing scientific computing. Discover the implementation of complex physics analysis workflows using Kubernetes, the role of software containers in open science, and the innovative use of the HTCondor Operator to bridge modern and traditional computing infrastructures. Gain insights into the intricate world of high-energy physics computing, the importance of legacy systems, and the future of scientific data processing in the cloud era.

Hunting for New Particles Leveraging Legacy Infrastructure with Kubernetes

CNCF [Cloud Native Computing Foundation]
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