To provide advanced and scalable indexing and search across multi-tenant cloud resources.
|Source code - API and Listener Services||https://github.com/openstack/searchlight|
|Source code - Horizon UI Plugin||https://github.com/openstack/searchlight-ui|
|Source code - Python Client||https://github.com/openstack/python-searchlightclient|
Searchlight is intended to dramatically improving the user focused search capabilities and performance on behalf of various OpenStack cloud services.
It accomplishes this by offloading user search queries from existing API servers and indexing their data into ElasticSearch. ElasticSearch is a search server based on Lucene. It provides a distributed, scalable, near real-time, faceted, multitenant-capable full-text search engine with a RESTful web interface and schema-free JSON documents. ElasticSearch is developed and released as open source under the terms of the Apache License. Notable users of ElasticSearch include Wikimedia, StumbleUpon, Mozilla, Quora, Foursquare, Etsy, SoundCloud, GitHub, FDA, CERN, and Stack Exchange. (Source: http://en.wikipedia.org/wiki/Elasticsearch). The elastic-recheck project also uses Elasticsearch (and kibana) to classify and track OpenStack gate failures. (Source: http://status.openstack.org/elastic-recheck)
- (Mitaka) Integration with Horizon demoː https://www.youtube.com/watch?v=2feC1njvZe0
- (Mitaka) End of Cycle Presentation on Horizon, CLI, and Searchlightː https://www.youtube.com/watch?v=ExzULavwvNQ
- (Mitaka) Summit Presentationː https://www.youtube.com/watch?v=0jYXsK4j26s
- (Liberty) PTL Overviewː https://www.youtube.com/watch?v=yU5CrAOAlkA
- (Kilo summit) Concept Demoː https://youtu.be/eGnGr48E5_4
Concept Internals Overview
Please join with us to help move forward together as a community! We are sure that the ideas and concepts can use refinement and we'd like to identify where we can best fit in to the ecosystem.
Searchlight was originally developed and released in the Kilo release of Glance as the Catalog Index Service . At the Liberty Summit we decided to broaden the scope to provide advanced and scalable search across multi-tenant cloud resources.