May 8 - 9, 2023 | Vancouver, Canada
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Tuesday, May 9 • 2:10pm - 2:25pm
A Quantitative Study on Argo Scalability - Andrew Anderson & Jun Duan, IBM

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In this work, we study Argo CD scalability, in terms of how many Argo CD Applications can be supported with reasonable performance. For performance, we care about the syncing delay from changes at the upstream git repositories to the resources at the downstream Kubernetes clusters. We identify that, with thousands of Argo CD Applications, CPU easily becomes the performance bottleneck. Naturally, we approach this problem from several angles --- reduce computational requirements, provision more computing power, expect longer syncing delay. In our experiments, we managed to sync 10k Argo CD applications in less than 40 minutes.

avatar for Andy Anderson

Andy Anderson

Research Engineering Manager, IBM Research
Andy is a Research Engineering Manager for IBM. He is working on challenges related to application lifecycle management and scalability at the Edge. Both challenges are centered around Kubernetes and extending it's functionality to cover edge-related concerns such as disconnected... Read More →
avatar for Jun Duan

Jun Duan

Staff Research Scientist, IBM
Jun Duan received his B.S. and M.S. degrees from School of Electronics Engineering and Computer Science, Peking University, China. He received his Ph.D. degree in Computer Engineering from Stony Brook University, USA. He is a Staff Research Scientist at IBM Thomas J. Watson Research... Read More →

Tuesday May 9, 2023 2:10pm - 2:25pm PDT
Meeting Room 220
  GitOps Lightning Talks