Time Series Data Abstraction Layer at Netflix

Author: binhnguyennus

README.md

@@ -475,7 +475,8 @@ An updated and organized reading list for illustrating the patterns of scalable,
 	* [Heroic: Time Series Database at Spotify](https://labs.spotify.com/2015/11/17/monitoring-at-spotify-introducing-heroic/)
 	* [Roshi: Distributed Storage System for Time-Series Event at SoundCloud](https://developers.soundcloud.com/blog/roshi-a-crdt-system-for-timestamped-events)
 	* [Goku: Time Series Database at Pinterest](https://medium.com/@Pinterest_Engineering/goku-building-a-scalable-and-high-performant-time-series-database-system-a8ff5758a181)
-	* [Scaling Time Series Data Storage (2 parts) at Netflix](https://medium.com/netflix-techblog/scaling-time-series-data-storage-part-ii-d67939655586)	
+	* [Scaling Time Series Data Storage (2 parts) at Netflix](https://medium.com/netflix-techblog/scaling-time-series-data-storage-part-ii-d67939655586)
+	* [Time Series Data Abstraction Layer at Netflix](https://netflixtechblog.com/introducing-netflix-timeseries-data-abstraction-layer-31552f6326f8)
 	* [Druid - Real-time Analytics Database](https://druid.apache.org/)
 		* [Druid at Airbnb](https://medium.com/airbnb-engineering/druid-airbnb-data-platform-601c312f2a4c)
 		* [Druid at Walmart](https://medium.com/walmartlabs/event-stream-analytics-at-walmart-with-druid-dcf1a37ceda7)