MDN Web Docs evolves! Lowdown on the upcoming new platform – Mozilla Hacks - the Web developer blog
MDN Web Docs evolves! Lowdown on the upcoming new platform The time has come for Kuma — the platform that powers MDN Web Docs — to evolve. For quite some time now, the MDN developer team has been planning a radical platform change, and we are ready to start sharing the details of it. The question on your lips might be “What does a Kuma evolve into? A KumaMaMa?” For those of you not so into Pokémon
9 Tips on ElasticSearch Configuration for High Performance
The Loggly service utilizes Elasticsearch (ES) as the search engine underneath a lot of our core functionality. As Jon Gifford explained in his recent post on Elasticsearch vs Solr, log management imposes some tough requirements on search technology. To boil it down, it must be able to: Reliably perform near real-time indexing at huge scale – in our case, more than 100,000 log events per second Si
Elasticsearch5.0.0で再インデクシングの高速化を探究した話
第17回Elasticsearch勉強会の発表資料
Kibana: Explore, Visualize, Discover Data | Elastic
Search and analytics, data ingestion, and visualization – all at your fingertips.
Realtime Search: Solr vs Elasticsearch | Socialcast Engineering
What is Elasticsearch? Elasticsearch is REST based, distributed search engine powered by the excellent Lucene library. The built in JSON + HTTP API provides an elegant platform perfect for integrating with (ex: the elastic_searchable ruby gem). It’s simple, scalable and “cool, bonsai cool“. Why is it better than Solr? First of all, let’s set the record straight: Solr is fast. I’m serious…it’s rea
Elastic — The Search AI Company
Search and analytics, data ingestion, and visualization – all at your fingertips.
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Docker @ Elastic
Introducing beta releases of Elasticsearch and Kibana Docker images
GitHub - compose/transporter: Sync data between persistence engines, like ETL only not stodgy
Apache Solr vs Elasticsearch - the Feature Smackdown!