~/talk

Leveraging Argo WorkflowTemplates Within a Data Platform

links:none on file
name:Yao Lin
links:none on file
slides:none on file

Two companies build a control plane that syncs Argo WorkflowTemplates from GitHub/GitLab into clusters, using a deployment API + Postgres, Fluent Bit + GraphQL for history, and agents that pull templates at runtime; a demo shows a template is pulled down in 40s and runs to completion, templates lock at workflow creation so in‑flight runs stay stable, versioning uses metadata labels to pin git tag/branch/commit, promotion to production requires approval, cleanup uses either a cron + deletor or an agent loop with default TTL 24h and user-cancellable deletion.

AI-written summary · about

  1. 0:00Argo WorkflowTemplates intro
  2. 1:23WorkflowTemplate cluster challenges
  3. 3:09Bloomberg template lifecycle
  4. 5:17Pipekit git-based platform
  5. 7:48Bloomberg version history
  6. 10:38Pipekit git integration goals
  7. 12:02Live demo workflow invocation
  8. 13:05Bloomberg template cleanup
  9. 15:38Pipekit garbage collection
  10. 17:27Bloomberg vs Pipekit comparison
  11. 19:12Future improvements
  12. 20:16Q&A
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