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Search Architecture at Box

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binhnguyennus 2019-09-26 08:28:26 +08:00
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@ -289,8 +289,9 @@ An updated and organized reading list for illustrating the patterns of scalable,
* [Collection and Analysis of Daemon Logs at Badoo](https://badoo.com/techblog/blog/2016/06/06/collection-and-analysis-of-daemon-logs-at-badoo/)
* [Log Parsing with Static Code Analysis at Palantir](https://medium.com/palantir/using-static-code-analysis-to-improve-log-parsing-18f0d1843965)
* [Distributed Searching](http://nwds.cs.washington.edu/files/nwds/pdf/Distributed-WR.pdf)
* [Search Architecture of Instagram](https://instagram-engineering.com/search-architecture-eeb34a936d3a)
* [Search Architecture of eBay](http://www.cs.otago.ac.nz/homepages/andrew/papers/2017-8.pdf)
* [Search Architecture at Instagram](https://instagram-engineering.com/search-architecture-eeb34a936d3a)
* [Search Architecture at eBay](http://www.cs.otago.ac.nz/homepages/andrew/papers/2017-8.pdf)
* [Search Architecture at Box](https://medium.com/box-tech-blog/scaling-box-search-using-lumos-22d9e0cb4175)
* [Universal Search System at Pinterest](https://medium.com/pinterest-engineering/building-a-universal-search-system-for-pinterest-e4cb03a898d4)
* [Improving Search Engine Efficiency by over 25% at eBay](https://www.ebayinc.com/stories/blogs/tech/making-e-commerce-search-faster/)
* [Indexing and Querying Telemetry Logs with Lucene at Palantir](https://medium.com/palantir/indexing-and-querying-telemetry-logs-with-lucene-234c5ce3e5f3)
@ -374,7 +375,7 @@ An updated and organized reading list for illustrating the patterns of scalable,
* [Data Wrangling at Slack](https://slack.engineering/data-wrangling-at-slack-f2e0ff633b69)
* [Presto in Big Data Platform on AWS at Netflix](https://medium.com/netflix-techblog/using-presto-in-our-big-data-platform-on-aws-938035909fd4)
* [NoSQL Databases](https://www.thoughtworks.com/insights/blog/nosql-databases-overview)
* [Key-Value Databases (DynamoDB)](http://www.cs.ucsb.edu/~agrawal/fall2009/dynamo.pdf)
* [Key-Value Databases](http://www.cs.ucsb.edu/~agrawal/fall2009/dynamo.pdf)
* [DynamoDB at Nike](https://medium.com/nikeengineering/becoming-a-nimble-giant-how-dynamo-db-serves-nike-at-scale-4cc375dbb18e)
* [DynamoDB at Segment](https://segment.com/blog/the-million-dollar-eng-problem/)
* [DynamoDB at Mapbox](https://blog.mapbox.com/scaling-mapbox-infrastructure-with-dynamodb-streams-d53eabc5e972)
@ -384,7 +385,7 @@ An updated and organized reading list for illustrating the patterns of scalable,
* [MPH: Fast and Compact Immutable Key-Value Stores at Indeed](http://engineering.indeedblog.com/blog/2018/02/indeed-mph/)
* [zBase: High Performance, Elastic, Distributed Key-Value Store at Zynga](https://www.zynga.com/blogs/engineering/zbase-high-performance-elastic-distributed-key-value-store-2)
* [Venice: Distributed Key-Value Database at Linkedin](https://engineering.linkedin.com/blog/2017/02/building-venice-with-apache-helix)
* [Columnar Databases (Cassandra, HBase, Redshift)](https://aws.amazon.com/nosql/columnar/)
* [Columnar Databases](https://aws.amazon.com/nosql/columnar/)
* [Cassandra](http://www.cs.cornell.edu/projects/ladis2009/papers/lakshman-ladis2009.pdf)
* [Cassandra at Instagram](https://www.slideshare.net/DataStax/cassandra-at-instagram-2016)
* [Storing Images in Cassandra at Walmart](https://medium.com/walmartlabs/building-object-store-storing-images-in-cassandra-walmart-scale-a6b9c02af593)
@ -407,7 +408,7 @@ An updated and organized reading list for illustrating the patterns of scalable,
* [Redshift at GIPHY](https://engineering.giphy.com/scaling-redshift-without-scaling-costs/)
* [Redshift at Hudl](https://www.hudl.com/bits/the-low-hanging-fruit-of-redshift-performance)
* [Redshift at Drivy](https://drivy.engineering/redshift_tips_ticks_part_1/)
* [Document Databases (MongoDB, SimpleDB, CouchDB)](https://msdn.microsoft.com/en-us/magazine/hh547103.aspx)
* [Document Databases](https://msdn.microsoft.com/en-us/magazine/hh547103.aspx)
* [eBay: Building Mission-Critical Multi-Data Center Applications with MongoDB](https://www.mongodb.com/blog/post/ebay-building-mission-critical-multi-data-center-applications-with-mongodb)
* [MongoDB at Baidu: Multi-Tenant Cluster Storing 200+ Billion Documents across 160 Shards](https://www.mongodb.com/blog/post/mongodb-at-baidu-powering-100-apps-across-600-nodes-at-pb-scale)
* [Migrating Mongo Data at Addepar](https://medium.com/build-addepar/migrating-mountains-of-mongo-data-63e530539952)