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code.v1.dodo.cloud / pcloud / b84bf39625608b1026f44e1180caa17ac5702d58
commitb84bf39625608b1026f44e1180caa17ac5702d58[log] [tgz]
authorgiolekva <giolekva@gmail.com>Sat May 16 11:27:31 2020 +0400
committergiolekva <giolekva@gmail.com>Sat May 16 11:27:31 2020 +0400
treee413f5ea9d903caa04be405730c8126adc06b8f1
parent10428750d04b844ab6112a87a7ca9b3f2e51bc00 [diff]
app-minio: add create-bucket-with-webhook action
4 files changed
tree: e413f5ea9d903caa04be405730c8126adc06b8f1
  1. appmanager/
  2. apps/
  3. archive/
  4. controller/
  5. docs/
  6. events/
  7. scripts/
  8. .gitignore
  9. 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.