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code.v1.dodo.cloud / pcloud / c17b19c95982daf35486b5b830d11c47d30f32ab
commitc17b19c95982daf35486b5b830d11c47d30f32ab[log] [tgz]
authorgiolekva <giolekva@gmail.com>Wed May 06 15:33:49 2020 +0400
committergiolekva <giolekva@gmail.com>Wed May 06 15:33:49 2020 +0400
treea58d49aa2203e847dcd3144115913b011e87e085
parentede6d2ba17e6281975f1e78eb6c82170df2707f0 [diff]
event-processor: configure service account and cluster role binding so it can create pods in any namespace
2 files changed
tree: a58d49aa2203e847dcd3144115913b011e87e085
  1. apps/
  2. archive/
  3. controller/
  4. docs/
  5. events/
  6. scripts/
  7. .gitignore
  8. README.md
README.md

PCloud

PCloud is a set of distributed infrustructure tools meant for setting up a personal cloud on commodity hardware such as Raspberry Pi. Goal of the project is to provide:

  • Blob storage: distributed file storage with configurable replication for redundancy
  • Namespace service: built on top of Blob storage to expose it, at least in read only mode, as a mountable file system
  • Metadata service: storing Blob annotations such as objects and their locations detected in the pictures
  • Search infrastructure: to index Blob metadata and provide search API
  • App infrastructure: to easily set up and run third party applications such as custom in picture object detection models

To prove viability of the project first milestone will be to build fully functional image storage and indexing infrustructure. User experience setting it up will look something like:

  • Set up PCloud on 3 or more servers and pair mobile device with it
  • Configure IFTTT (if this then that) like worklfow to automatically:
    • Back up every newly taken picture on PCloud
    • Run face detection app on backed up pictures and store this information in Metadata service
    • Index face annotations and make them searchable

User must be able to configure all of these from previously paired mobile device.