diff --git a/README.md b/README.md
index 525e5b1..46aa08d 100644
--- a/README.md
+++ b/README.md
@@ -358,7 +358,7 @@ An organized reading list for illustrating the patterns of scalable, reliable, a
 	* [Sharding (Horizontal Partitioning)](https://www.educative.io/collection/page/5668639101419520/5649050225344512/5146118144917504)
 		* [Sharding MySQL at Pinterest](https://medium.com/@Pinterest_Engineering/sharding-pinterest-how-we-scaled-our-mysql-fleet-3f341e96ca6f)
 		* [Sharding MySQL at Twilio](https://www.twilio.com/engineering/2014/06/26/how-we-replaced-our-data-pipeline-with-zero-downtime)
-        * [Sharding MySQL at Square](https://medium.com/square-corner-blog/sharding-cash-10280fa3ef3b)
+		* [Sharding MySQL at Square](https://medium.com/square-corner-blog/sharding-cash-10280fa3ef3b)
 		* [Sharding Layer of Schemaless Datastore at Uber](https://eng.uber.com/schemaless-rewrite/)
 		* [Sharding & IDs at Instagram](https://instagram-engineering.com/sharding-ids-at-instagram-1cf5a71e5a5c)
 		* [Solr: Improving Performance for Batch Indexing at Box](https://blog.box.com/blog/solr-improving-performance-batch-indexing/)	
@@ -368,6 +368,7 @@ An organized reading list for illustrating the patterns of scalable, reliable, a
 		* [Presto at Grab](https://engineering.grab.com/scaling-like-a-boss-with-presto)
 		* [Engineering Data Analytics with Presto and Apache Parquet at Uber](https://eng.uber.com/presto/)
 		* [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)
 		* [DynamoDB at Nike](https://medium.com/nikeengineering/becoming-a-nimble-giant-how-dynamo-db-serves-nike-at-scale-4cc375dbb18e)