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in repository https://gitbox.apache.org/repos/asf/flink-web.git


The following commit(s) were added to refs/heads/asf-site by this push:
     new 0b4b01a  Rebuild page
0b4b01a is described below

commit 0b4b01af5977fb68de73923af52d26aafe7e48cc
Author: Dawid Wysakowicz <[email protected]>
AuthorDate: Mon May 3 17:41:19 2021 +0200

    Rebuild page
---
 content/blog/feed.xml                       | 21 +++++++++++++++------
 content/news/2021/05/03/release-1.13.0.html | 21 +++++++++++++++------
 2 files changed, 30 insertions(+), 12 deletions(-)

diff --git a/content/blog/feed.xml b/content/blog/feed.xml
index d3a6b6c..e0eef96 100644
--- a/content/blog/feed.xml
+++ b/content/blog/feed.xml
@@ -133,10 +133,19 @@ and ratios for busyness and backpressure.&lt;/p&gt;
 &lt;p&gt;The next question during performance analysis is typically: What part 
of work in the bottlenecked
 operator is expensive?&lt;/p&gt;
 
-&lt;p&gt;One visually effective means to investigate that is &lt;em&gt;Flame 
Graphs&lt;/em&gt;. They help answer question like:
-  - Which methods are currently consuming CPU resources?
-  - How does one method’s CPU consumption compare to other methods?
-  - Which series of calls on the stack led to executing a particular 
method?&lt;/p&gt;
+&lt;p&gt;One visually effective means to investigate that is &lt;em&gt;Flame 
Graphs&lt;/em&gt;. They help answer question like:&lt;/p&gt;
+
+&lt;ul&gt;
+  &lt;li&gt;
+    &lt;p&gt;Which methods are currently consuming CPU resources?&lt;/p&gt;
+  &lt;/li&gt;
+  &lt;li&gt;
+    &lt;p&gt;How does one method’s CPU consumption compare to other 
methods?&lt;/p&gt;
+  &lt;/li&gt;
+  &lt;li&gt;
+    &lt;p&gt;Which series of calls on the stack led to executing a particular 
method?&lt;/p&gt;
+  &lt;/li&gt;
+&lt;/ul&gt;
 
 &lt;p&gt;Flame Graphs are constructed by repeatedly sampling the thread stack 
traces. Every method call is
 represented by a bar, where the length of the bar is proportional to the 
number of times it is present
@@ -146,8 +155,8 @@ in the samples. When enabled, the graphs are shown in a new 
UI component for the
   &lt;img src=&quot;/img/blog/2021-05-03-release-1.13.0/7.png&quot; 
style=&quot;display: block; margin-left: auto; margin-right: auto; width: 
600px&quot; /&gt;
 &lt;/figure&gt;
 
-&lt;p&gt;Flame graphs are expensive to create: They may cause processing 
overhead and can put a heavy load
-on Flink’s metric system. Because of that, users need to explicitly enable 
them in the configuration.&lt;/p&gt;
+&lt;p&gt;The &lt;a 
href=&quot;https://ci.apache.org/projects/flink/flink-docs-release-1.13/docs/ops/debugging/flame_graphs&quot;&gt;Flame
 Graphs documentation&lt;/a&gt;
+contains more details and instructions for enabling this feature.&lt;/p&gt;
 
 &lt;p&gt;&lt;strong&gt;Access Latency Metrics for 
State&lt;/strong&gt;&lt;/p&gt;
 
diff --git a/content/news/2021/05/03/release-1.13.0.html 
b/content/news/2021/05/03/release-1.13.0.html
index c8ddaa1..1283cbc 100644
--- a/content/news/2021/05/03/release-1.13.0.html
+++ b/content/news/2021/05/03/release-1.13.0.html
@@ -327,10 +327,19 @@ and ratios for busyness and backpressure.</p>
 <p>The next question during performance analysis is typically: What part of 
work in the bottlenecked
 operator is expensive?</p>
 
-<p>One visually effective means to investigate that is <em>Flame Graphs</em>. 
They help answer question like:
-  - Which methods are currently consuming CPU resources?
-  - How does one method’s CPU consumption compare to other methods?
-  - Which series of calls on the stack led to executing a particular 
method?</p>
+<p>One visually effective means to investigate that is <em>Flame Graphs</em>. 
They help answer question like:</p>
+
+<ul>
+  <li>
+    <p>Which methods are currently consuming CPU resources?</p>
+  </li>
+  <li>
+    <p>How does one method’s CPU consumption compare to other methods?</p>
+  </li>
+  <li>
+    <p>Which series of calls on the stack led to executing a particular 
method?</p>
+  </li>
+</ul>
 
 <p>Flame Graphs are constructed by repeatedly sampling the thread stack 
traces. Every method call is
 represented by a bar, where the length of the bar is proportional to the 
number of times it is present
@@ -340,8 +349,8 @@ in the samples. When enabled, the graphs are shown in a new 
UI component for the
   <img src="/img/blog/2021-05-03-release-1.13.0/7.png" style="display: block; 
margin-left: auto; margin-right: auto; width: 600px" />
 </figure>
 
-<p>Flame graphs are expensive to create: They may cause processing overhead 
and can put a heavy load
-on Flink’s metric system. Because of that, users need to explicitly enable 
them in the configuration.</p>
+<p>The <a 
href="https://ci.apache.org/projects/flink/flink-docs-release-1.13/docs/ops/debugging/flame_graphs";>Flame
 Graphs documentation</a>
+contains more details and instructions for enabling this feature.</p>
 
 <p><strong>Access Latency Metrics for State</strong></p>
 

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