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LinkedInAttic/indextank-service

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About IndexTank Service

IndexTank Service (http://indextank.com) contains the source code for implementing the Search-as-a-Service platform. It contains the components that allow managing user accounts, server instances (worker) and index instances (deploy); it depends on IndexTank Engine (https://github.com/linkedin/indextank-engine) binary.

Homepage:

Find out more about at: TBD

License:

Apache Public License (APL) 2.0

Components:

  1. API
  2. Backoffice
  3. Storefront
  4. Nebu

Dependencies:

Getting started:

  1. Create the database schema (python manage.py syncdb).
  2. Create an account.
  3. Start an index instance (IndexTank Engine).
  4. Start API.

API

Django application implementing the REST JSON API, enables index management per account, indexing functions and search. Interacts via Thrift with specific index instances (deploy).

Backoffice

Django application that allows manual administration.

Storefront

Django application with the service web, contains the user registration form (allows creating accounts).

Nebu

Index, deploy & worker manager. A worker (server instance) may contain a deploy (index instance) or many.

About

The API, BackOffice, Storefront, and Nebulizer for IndexTank

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