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@ -119,6 +119,7 @@ An updated and curated list of selected readings to illustrate Scalability, Avai
* [LogDevice: Distributed Data Store for Logs at Facebook](https://code.facebook.com/posts/357056558062811/logdevice-a-distributed-data-store-for-logs/)
* [Distributed Messaging](https://arxiv.org/pdf/1704.00411.pdf)
* [Understanding When to use RabbitMQ or Apache Kafka](https://content.pivotal.io/blog/understanding-when-to-use-rabbitmq-or-apache-kafka)
* [Should You Put Several Event Types in the Same Kafka Topic? - Martin Kleppmann](https://www.confluent.io/blog/put-several-event-types-kafka-topic/)
* [Running Kafka at scale at Linkedin](https://engineering.linkedin.com/kafka/running-kafka-scale)
* [Delaying Asynchronous Message Processing with RabbitMQ at Indeed](http://engineering.indeedblog.com/blog/2017/06/delaying-messages/)
* [Real-time Data Pipeline with Kafka at Yelp](https://engineeringblog.yelp.com/2016/07/billions-of-messages-a-day-yelps-real-time-data-pipeline.html)
@ -126,8 +127,7 @@ An updated and curated list of selected readings to illustrate Scalability, Avai
* [Deduplication Techniques](https://en.wikipedia.org/wiki/Data_deduplication)
* [Exactly-once Semantics are Possible: Here’s How Kafka Does it](https://www.confluent.io/blog/exactly-once-semantics-are-possible-heres-how-apache-kafka-does-it/)
* [Real-time Deduping at Scale with Kafka-based Pipleline at Tapjoy](http://eng.tapjoy.com/blog-list/real-time-deduping-at-scale)
* [Delivering Billions of Messages Exactly Once: Deduping at Segment](https://segment.com/blog/exactly-once-delivery/)
* [Should You Put Several Event Types in the Same Kafka Topic? - Martin Kleppmann](https://www.confluent.io/blog/put-several-event-types-kafka-topic/)
* [Delivering Billions of Messages Exactly Once: Deduping at Segment](https://segment.com/blog/exactly-once-delivery/)
* [Distributed Searching](http://nwds.cs.washington.edu/files/nwds/pdf/Distributed-WR.pdf)
* [Search Architecture of Instagram](https://engineering.instagram.com/search-architecture-eeb34a936d3a)
* [Search Architecture of eBay](http://www.cs.otago.ac.nz/homepages/andrew/papers/2017-8.pdf)
@ -146,12 +146,11 @@ An updated and curated list of selected readings to illustrate Scalability, Avai
* [Optimizing Memcached Efficiency at Quora](https://engineering.quora.com/Optimizing-Memcached-Efficiency)
* [Real-Time Data Warehouse with MemSQL on Cisco UCS](https://blogs.cisco.com/datacenter/memsql)
* [Moving to MemSQL at Tapjoy: Horizontally Scalable, ACID Compliant, MySQL Compatibility](http://eng.tapjoy.com/blog-list/moving-to-memsql)
* [Durable Storage (typically Object Storage)](http://www.datacenterknowledge.com/archives/2013/10/04/object-storage-the-future-of-scale-out)
* [Amazon S3](https://aws.amazon.com/s3/)
* [Reasons for Choosing S3 over HDFS at Databricks](https://databricks.com/blog/2017/05/31/top-5-reasons-for-choosing-s3-over-hdfs.html)
* [S3 in the Data Infrastructure at Airbnb](https://medium.com/airbnb-engineering/data-infrastructure-at-airbnb-8adfb34f169c)
* [Quantcast File System on Amazon S3](https://www.quantcast.com/blog/quantcast-file-system-on-amazon-s3/)
* [Using S3 in Netflix Chukwa](https://medium.com/netflix-techblog/evolution-of-the-netflix-data-pipeline-da246ca36905)
* [Durable Storage (Amazon S3)](http://www.datacenterknowledge.com/archives/2013/10/04/object-storage-the-future-of-scale-out)
* [Reasons for Choosing S3 over HDFS at Databricks](https://databricks.com/blog/2017/05/31/top-5-reasons-for-choosing-s3-over-hdfs.html)
* [S3 in the Data Infrastructure at Airbnb](https://medium.com/airbnb-engineering/data-infrastructure-at-airbnb-8adfb34f169c)
* [Quantcast File System on Amazon S3](https://www.quantcast.com/blog/quantcast-file-system-on-amazon-s3/)
* [Using S3 in Netflix Chukwa](https://medium.com/netflix-techblog/evolution-of-the-netflix-data-pipeline-da246ca36905)
* [Yahoo Cloud Object Store - Object Storage at Exabyte Scale](https://yahooeng.tumblr.com/post/116391291701/yahoo-cloud-object-store-object-storage-at)
* [Ambry: Distributed Immutable Object Store at LinkedIn](https://www.usenix.org/conference/srecon17americas/program/presentation/shenoy)
* [Hammerspace: Persistent, Concurrent, Off-heap Storage at Airbnb](https://medium.com/airbnb-engineering/hammerspace-persistent-concurrent-off-heap-storage-3db39bb04472)