~/talk

Overview Of Challenges And Solutions For Orchestrating Applications To Multiple DC And Edge Clusters

name:Ritu Sood
links:none on file
slides:none on file

Compares concrete tools and gaps: Kubedge lightweight kubelet treats edge devices as nodes for sub‑1 vCPU/128 KB footprints and websocket sync, ArgoCD ApplicationSet gives one‑click GitOps multi‑cluster deployments but stops at post‑deploy automation, Karmada propagation and override policies handle placement and per‑cluster overrides with work resources, and EMCO intent‑based placement adds tenant isolation, SDO mTLS, temporal workflows for post‑deploy configuration and cross‑cluster traffic automation; shows which use cases each actually supports and where manual glue remains.

AI-written summary · about

  1. 0:00Intro
  2. 1:42Trend: Geo Distributed Computing trend with Edge-computing
  3. 3:17Geo-Distributed Computing - few use cases
  4. 5:29Multi-Cloud Challenges and Requirements
  5. 8:22Needs/Requirements - Preparation
  6. 9:21Needs/Requirements-Application deployment design
  7. 10:24Requirements - Workload Customization & Connectivity
  8. 12:43Requirements - Operations
  9. 14:13KubeEdge
  10. 17:50Argo CD Application Sets
  11. 20:19Karmada
  12. 22:40Edge Multi Cluster Orchestrator (EMCO)
  13. 26:21Use cases with EMCO
  14. 26:51Summary
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