From a8ce3e1a33fe64dffafa952cc483e4be3758680d Mon Sep 17 00:00:00 2001 From: binhnguyennus Date: Sun, 3 Oct 2021 13:25:46 +0800 Subject: [PATCH] Scaling Hadoop YARN cluster beyond 10,000 nodes at LinkedIn --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 3735eec..27927d0 100644 --- a/README.md +++ b/README.md @@ -706,6 +706,7 @@ An updated and organized reading list for illustrating the patterns of scalable, * [Scaling a Mature Data Pipeline - Managing Overhead at Airbnb](https://medium.com/airbnb-engineering/scaling-a-mature-data-pipeline-managing-overhead-f34835cbc866) * [Spark Partitioning Strategies at Airbnb](https://medium.com/airbnb-engineering/on-spark-hive-and-small-files-an-in-depth-look-at-spark-partitioning-strategies-a9a364f908) * [Scaling the Hadoop Distributed File System at LinkedIn](https://engineering.linkedin.com/blog/2021/the-exabyte-club--linkedin-s-journey-of-scaling-the-hadoop-distr) + * [Scaling Hadoop YARN cluster beyond 10,000 nodes at LinkedIn](https://engineering.linkedin.com/blog/2021/scaling-linkedin-s-hadoop-yarn-cluster-beyond-10-000-nodes) * [Distributed Machine Learning](https://www.csie.ntu.edu.tw/~cjlin/talks/bigdata-bilbao.pdf) * [Aroma: Using ML for Code Recommendation at Facebook](https://code.fb.com/developer-tools/aroma/) * [Flyte: Cloud Native Machine Learning and Data Processing Platform at Lyft](https://eng.lyft.com/introducing-flyte-cloud-native-machine-learning-and-data-processing-platform-fb2bb3046a59)