nsivabalan commented on a change in pull request #1683:
URL: https://github.com/apache/hudi/pull/1683#discussion_r441126105



##########
File path: docs/_pages/releases.md
##########
@@ -3,8 +3,30 @@ title: "Releases"
 permalink: /releases
 layout: releases
 toc: true
-last_modified_at: 2019-12-30T15:59:57-04:00
+last_modified_at: 2020-05-28T08:40:00-07:00
 ---
+## [Release 0.5.3](https://github.com/apache/hudi/releases/tag/release-0.5.3) 
([docs](/docs/0.5.3-quick-start-guide.html))
+
+### Download Information
+ * Source Release : [Apache Hudi 0.5.3 Source 
Release](https://downloads.apache.org/hudi/0.5.3/hudi-0.5.3.src.tgz) 
([asc](https://downloads.apache.org/hudi/0.5.3/hudi-0.5.3.src.tgz.asc), 
[sha512](https://downloads.apache.org/hudi/0.5.3/hudi-0.5.3.src.tgz.sha512))
+ * Apache Hudi jars corresponding to this release is available 
[here](https://repository.apache.org/#nexus-search;quick~hudi)
+
+### Migration Guide for this release
+ * This is a bug fix only release and no special migration steps needed when 
upgrading from 0.5.2. If you are upgrading from earlier releases “X”, please 
make sure you read the migration guide for each subsequent release between “X” 
and 0.5.3
+
+### Release Highlights
+ * Hudi now supports `aliyun OSS` storage service.
+ * Embedded Timeline Server is enabled by default for both delta-streamer and 
spark datasource writes. This feature was in experimental mode before this 
release. Embedded Timeline Server caches file listing calls in Spark driver and 
serves them to Spark writer tasks. This reduces the number of file listings 
needed to be performed for each write.
+ * Incremental Cleaning is enabled by default for both delta-streamer and 
spark datasource writes. This feature was also in experimental mode before this 
release. In the steady state, incremental cleaning avoids the costly step of 
scanning all partitions and instead uses Hudi metadata to find files to be 
cleaned up.
+ * Delta-streamer config files can now be placed in different filesystem than 
actual data.
+ * Hudi Hive Sync now supports tables partitioned by date type column.
+ * Hudi Hive Sync now supports syncing directly via Hive MetaStore.

Review comment:
       sure. 




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