~/talk

Real-Time Data Anonymization the Serverless Way

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github:rootfs
slides:none on file

Architecture that anonymizes images on upload by extending Ceph with a Ceph SQS-compatible API so KEDA can pull notifications directly from object storage and avoid exposing HTTP endpoints. Rook provisions the Ceph S3 buckets and bucket-notifications; Redis stores notifications with visibility timeouts and retention; a KEDA external scaler spins worker functions which download images, run Haar cascades for faces and a TensorFlow model for license plates, blur regions, and overwrite objects. Runs on MicroShift and can operate on a single-node (2 CPU, 2 GB) edge cluster.

AI-written summary · about

  1. 0:00Introduction
  2. 0:21Agenda
  3. 1:13Data Privacy
  4. 3:37Solution Architecture
  5. 6:03Building Blocks
  6. 7:33Rook
  7. 12:45Why do we need something else
  8. 14:09Summary
  9. 15:31Message Queue
  10. 17:25External Message Queue
  11. 18:12CNF Service Frameworks
  12. 20:50CATA Service Framework
  13. 22:18Object Detection
  14. 24:08Microshift
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