Samrat002 commented on code in PR #860:
URL: https://github.com/apache/flink-web/pull/860#discussion_r3479370641


##########
docs/content/posts/2026-06-14-announcing-native-s3-fs.md:
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@@ -0,0 +1,200 @@
+---
+title:  "Introducing Flink's Native S3 FileSystem: Built for Performance, 
Designed for Production"
+date: "2026-06-14T08:00:00.000Z"
+slug: "announcing-native-s3-fs"
+url: "/2026/06/14/announcing-native-s3-fs/"
+authors:
+- gaborgsomogyi:
+  name: "Gabor Somogyi"
+- Samrat002:
+  name: "Samrat Deb"
+aliases:
+- /news/2026/06/14/announcing-native-s3-fs.html
+---
+
+Apache Flink relies on the underlying filesystem for much of its work: reading 
and writing application data, materializing streaming sinks, and storing 
checkpoints and savepoints for recovery. For years, S3 support in Flink meant 
choosing between two Hadoop-based plugins, each with its own trade-offs and 
configuration quirks. With Flink 2.3, there is a better option.
+
+Today we're introducing `flink-s3-fs-native`, a ground-up, Hadoop-free S3 
filesystem built specifically for Flink. It ships as an [experimental opt-in 
plugin](#availability-and-roadmap) in Flink 2.3, is already running in 
production at scale at major technology companies, and delivers measurable, 
reproducible performance gains.
+
+
+**At a glance**
+
+| | |
+|---|---|
+| **[~2x faster checkpoints](#performance)** | 48.8 s average vs 90.1 s with 
the Presto plugin; up to 4.5x at small state sizes |
+| **Drop-in replacement** | Swap the JAR, keep your existing 
`flink-conf.yaml`, restart your cluster |
+| **No Hadoop dependency** | ~13 MB JAR vs ~30–93 MB; no CVE triage on Hadoop 
transitive dependencies |

Review Comment:
   👍🏻 called out the specific transitive baggage from hadoop-common (Jackson, 
Guava, protobuf, Jetty, Kerberos/Zookeeper) that drives CVE triage and version 
conflicts.



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