MarkSfik commented on a change in pull request #373:
URL: https://github.com/apache/flink-web/pull/373#discussion_r479939254
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File path: _posts/2020-09-01-flink-1.11-memory-management-improvements.md
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@@ -0,0 +1,66 @@
+---
+layout: post
+title: "Memory Management improvements for Flink’s JobManager in Apache Flink
1.11"
+date: 2020-09-01T15:30:00.000Z
+authors:
+- Andrey:
+ name: "Andrey Zagrebin"
+categories: news
+excerpt: In a previous blog post focused on the memory model of the
TaskManagers and how it was improved with the Apache Flink 1.10 release. This
blog post addresses the same topic but for the JobManager instead.
+---
+
+Apache Flink 1.11 comes with significant changes to the memory model of
Flink’s JobManager and configuration options for your Flink clusters. These
recently-introduced changes make Flink adaptable to all kinds of deployment
environments (e.g. Kubernetes, Yarn, Mesos), providing better control over its
memory consumption.
+
+The [previous blog post]({{ site.baseurl
}}/news/2020/04/21/memory-management-improvements-flink-1.10.html), focused on
the memory model of the TaskManagers and how it was improved with the Apache
Flink 1.10 release. This blog post addresses the same topic but for the
JobManager instead. Flink 1.11 unifies the memory model of Flink’s processes.
The newly introduced memory model of the JobManager follows a similar approach
to that of the TaskManagers; it is simpler and has fewer components and tuning
knobs. This post might then seem very similar to our previous story on Flink’s
memory, but aims at providing a complete overview of Flink’s JobManager memory
model as of Flink 1.11. Read on for a full list of updates and changes below!
Review comment:
```suggestion
The [previous blog
post](https://flink.apache.org/news/2020/04/21/memory-management-improvements-flink-1.10.html),
focused on the memory model of the TaskManagers and how it was improved in
Flink 1.10. This post addresses the same topic but for the JobManager instead.
Flink 1.11 unifies the memory model of Flink’s processes. The newly-introduced
memory model of the JobManager follows a similar approach to that of the
TaskManagers; it is simpler and has fewer components and tuning knobs. This
post might consequently seem very similar to our previous story on Flink’s
memory but aims at providing a complete overview of Flink’s JobManager memory
model as of Flink 1.11. Read on for a full list of updates and changes below!
```
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