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Posted to notifications@skywalking.apache.org by gi...@apache.org on 2022/01/25 04:39:49 UTC

[skywalking-website] branch asf-site updated: deploy: 3b4e35eac93868aad83145932adfc8fcc047c4f0

This is an automated email from the ASF dual-hosted git repository.

github-bot pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/skywalking-website.git


The following commit(s) were added to refs/heads/asf-site by this push:
     new a26daf5  deploy: 3b4e35eac93868aad83145932adfc8fcc047c4f0
a26daf5 is described below

commit a26daf57a854314f7dcab0b57e5b79775514df68
Author: wu-sheng <wu...@users.noreply.github.com>
AuthorDate: Tue Jan 25 04:39:40 2022 +0000

    deploy: 3b4e35eac93868aad83145932adfc8fcc047c4f0
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index ffc41ed..ff3a5ca 100644
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 <meta itemprop="name" content="[Community win] SkyWalking achieved 500 contributors milestone.">
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 <meta itemprop="datePublished" content="2021-07-10T00:00:00+00:00" />
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diff --git a/blog/2021-08-01-skywalking-8-intro/index.html b/blog/2021-08-01-skywalking-8-intro/index.html
index 99742b2..7abb16a 100644
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 <meta itemprop="name" content="[Webinar] SkyWalking 8.x Introduction">
 <meta itemprop="description" content="Introduce the concepts of Apache SkyWalking, why we built it, and how we build it.">
 <meta itemprop="datePublished" content="2021-08-04T00:00:00+00:00" />
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diff --git a/blog/2021-09-12-skywalking-python-profiling/index.html b/blog/2021-09-12-skywalking-python-profiling/index.html
index 7fae39f..3daeaaf 100644
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diff --git a/blog/2021-11-23-design-of-iotdb-storage-option/index.html b/blog/2021-11-23-design-of-iotdb-storage-option/index.html
index 74006d9..c837669 100644
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 <meta itemprop="name" content="The Design of Apache IoTDB Storage Option">
 <meta itemprop="description" content="This is an introduction to IoTDB Storage Option. It introduces some basic concept about IoTDB and the storage schema design.">
 <meta itemprop="datePublished" content="2021-11-23T00:00:00+00:00" />
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diff --git a/blog/2021-12-06-extend-skywalking-with-nbb/index.html b/blog/2021-12-06-extend-skywalking-with-nbb/index.html
index e9404a6..7d82e6a 100644
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diff --git a/blog/2021-12-08-apisix-integrate-skywalking-plugin/apisix-integrate-skywalking-plugin/index.html b/blog/2021-12-08-apisix-integrate-skywalking-plugin/apisix-integrate-skywalking-plugin/index.html
index 50b2919..19ac1c2 100644
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diff --git a/blog/2021-12-08-application-guide-of-iotdb-storage-option/index.html b/blog/2021-12-08-application-guide-of-iotdb-storage-option/index.html
index eda1b3a..eb87840 100644
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diff --git a/blog/2021-12-13-skywalking-nginx-agent-integration/index.html b/blog/2021-12-13-skywalking-nginx-agent-integration/index.html
index fe69dc4..68b0cd8 100644
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diff --git a/blog/2021-12-21-better-observability-for-chaos-engineering/index.html b/blog/2021-12-21-better-observability-for-chaos-engineering/index.html
index 2559891..6352f57 100644
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@@ -316,7 +316,7 @@ The Routing steps are as follows:</p>
 <p>Proxy still needs to deal with the load balancing problem from client to itself, especially when deploying a Proxy cluster in a production environment.</p>
 <p>There are three ways to solve this problem:</p>
 <ol>
-<li><strong>Connection management</strong>: Use the <code>max_connection*</code> config on the client-side to specify the maximum connection duration of each connection. For more information, please read the proposal.</li>
+<li><strong>Connection management</strong>: Use the <code>max_connection</code> config on the client-side to specify the maximum connection duration of each connection. For more information, please read the <a href="https://github.com/grpc/proposal/blob/master/A9-server-side-conn-mgt.md">proposal</a>.</li>
 <li><strong>Cluster awareness</strong>: The proxy has cluster awareness, and actively disconnects the connection when the load is unbalanced to allow the client to re-pick up the proxy.</li>
 <li><strong>Resource limit+HPA</strong>: Restrict the connection resource situation of each proxy, and no longer accept new connections when the resource limit is reached. And use the HPA mechanism of Kubernetes to dynamically scale out the number of the proxy.</li>
 </ol>
@@ -371,7 +371,7 @@ The Routing steps are as follows:</p>
 </ol>
 <p>NOTE: All commands could be accessed through <a href="https://github.com/mrproliu/sw-satellite-demo-scripts/tree/1180c23e8f3bb36778307f9ae15395274ca039b3">GitHub</a>.</p>
 <h3 id="skywalking-scaling">SkyWalking Scaling</h3>
-<p>We will use the <a href="https://istio.io/latest/docs/examples/bookinfo/">bookinfo application</a> to demonstrate how to integrate Apache SkyWalking 8.9.1 with Apache SkyWalking-Satellite 0.5.0+, and observe the service mesh through the Envoy ALS protocol.</p>
+<p>We will use the <a href="https://istio.io/latest/docs/examples/bookinfo/">bookinfo application</a> to demonstrate how to integrate Apache SkyWalking 8.9.1 with Apache SkyWalking-Satellite 0.5.0, and observe the service mesh through the Envoy ALS protocol.</p>
 <p>Before starting, please make sure that you already have a Kubernetes environment.</p>
 <h4 id="install-istio">Install Istio</h4>
 <p>Istio provides a very convenient way to configure the Envoy proxy and enable the access log service. The following step:</p>
diff --git a/blog/e2e-design/index.html b/blog/e2e-design/index.html
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diff --git a/blog/end-user-tracing-in-a-skywalking-observed-browser/index.html b/blog/end-user-tracing-in-a-skywalking-observed-browser/index.html
index 6f95e05..9637361 100644
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 <meta itemprop="datePublished" content="2021-03-25T00:00:00+00:00" />
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diff --git a/blog/index.xml b/blog/index.xml
index a5e3959..d7f2d81 100644
--- a/blog/index.xml
+++ b/blog/index.xml
@@ -114,7 +114,7 @@ The Routing steps are as follows:&lt;/p&gt;
 &lt;p&gt;Proxy still needs to deal with the load balancing problem from client to itself, especially when deploying a Proxy cluster in a production environment.&lt;/p&gt;
 &lt;p&gt;There are three ways to solve this problem:&lt;/p&gt;
 &lt;ol&gt;
-&lt;li&gt;&lt;strong&gt;Connection management&lt;/strong&gt;: Use the &lt;code&gt;max_connection*&lt;/code&gt; config on the client-side to specify the maximum connection duration of each connection. For more information, please read the proposal.&lt;/li&gt;
+&lt;li&gt;&lt;strong&gt;Connection management&lt;/strong&gt;: Use the &lt;code&gt;max_connection&lt;/code&gt; config on the client-side to specify the maximum connection duration of each connection. For more information, please read the &lt;a href=&#34;https://github.com/grpc/proposal/blob/master/A9-server-side-conn-mgt.md&#34;&gt;proposal&lt;/a&gt;.&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;Cluster awareness&lt;/strong&gt;: The proxy has cluster awareness, and actively disconnects the connection when the load is unbalanced to allow the client to re-pick up the proxy.&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;Resource limit+HPA&lt;/strong&gt;: Restrict the connection resource situation of each proxy, and no longer accept new connections when the resource limit is reached. And use the HPA mechanism of Kubernetes to dynamically scale out the number of the proxy.&lt;/li&gt;
 &lt;/ol&gt;
@@ -169,7 +169,7 @@ The Routing steps are as follows:&lt;/p&gt;
 &lt;/ol&gt;
 &lt;p&gt;NOTE: All commands could be accessed through &lt;a href=&#34;https://github.com/mrproliu/sw-satellite-demo-scripts/tree/1180c23e8f3bb36778307f9ae15395274ca039b3&#34;&gt;GitHub&lt;/a&gt;.&lt;/p&gt;
 &lt;h3 id=&#34;skywalking-scaling&#34;&gt;SkyWalking Scaling&lt;/h3&gt;
-&lt;p&gt;We will use the &lt;a href=&#34;https://istio.io/latest/docs/examples/bookinfo/&#34;&gt;bookinfo application&lt;/a&gt; to demonstrate how to integrate Apache SkyWalking 8.9.1 with Apache SkyWalking-Satellite 0.5.0+, and observe the service mesh through the Envoy ALS protocol.&lt;/p&gt;
+&lt;p&gt;We will use the &lt;a href=&#34;https://istio.io/latest/docs/examples/bookinfo/&#34;&gt;bookinfo application&lt;/a&gt; to demonstrate how to integrate Apache SkyWalking 8.9.1 with Apache SkyWalking-Satellite 0.5.0, and observe the service mesh through the Envoy ALS protocol.&lt;/p&gt;
 &lt;p&gt;Before starting, please make sure that you already have a Kubernetes environment.&lt;/p&gt;
 &lt;h4 id=&#34;install-istio&#34;&gt;Install Istio&lt;/h4&gt;
 &lt;p&gt;Istio provides a very convenient way to configure the Envoy proxy and enable the access log service. The following step:&lt;/p&gt;
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index 90c871f..0608385 100644
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 <meta property="og:type" content="article" />
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 <meta itemprop="name" content="Observe VM Service Meshes with Apache SkyWalking and the Envoy Access Log Service">
 <meta itemprop="description" content="In this tutorial, you can learn how to use Apache SkyWalking for service mesh observability, in Kubernetes and / or in virtual machines.">
 <meta itemprop="datePublished" content="2021-02-21T00:00:00+00:00" />
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diff --git a/blog/skywalking8-4-release/index.html b/blog/skywalking8-4-release/index.html
index cde7dc3..995c0fb 100644
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index aad2bce..06bff90 100644
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index a0aefdc..e90f738 100644
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diff --git a/events/skywalking-graduated-as-apache-top-level-project/index.html b/events/skywalking-graduated-as-apache-top-level-project/index.html
index 66561d2..d6af70e 100644
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diff --git a/events/skywalking-nginx-lua-0-1-0-release/index.html b/events/skywalking-nginx-lua-0-1-0-release/index.html
index 43e9211..7eb86ee 100644
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+<meta property="article:modified_time" content="2022-01-25T12:37:51+08:00" />
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 <meta itemprop="description" content="Support tracing and collect metrics from Nginx server. Require SkyWalking APM 7.0&#43;.">
 <meta itemprop="datePublished" content="2020-03-10T00:00:00+00:00" />
-<meta itemprop="dateModified" content="2022-01-25T11:59:42+08:00" />
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diff --git a/events/skywalkingday-2021/index.html b/events/skywalkingday-2021/index.html
index 90ae81b..f787b76 100644
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+<meta property="article:modified_time" content="2022-01-25T12:37:51+08:00" />
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diff --git a/events/transfer-docker-images-to-apache-official-repository/index.html b/events/transfer-docker-images-to-apache-official-repository/index.html
index c14e2e1..5f482be 100644
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diff --git a/events/welcome-gui-cao-as-new-committer/index.html b/events/welcome-gui-cao-as-new-committer/index.html
index 1c8bdb5..5e9476a 100644
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 <meta itemprop="name" content="Welcome Gui Cao as new committer">
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 <meta itemprop="datePublished" content="2020-12-04T00:00:00+00:00" />
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diff --git a/events/welcome-hailin-wang-as-new-committer/index.html b/events/welcome-hailin-wang-as-new-committer/index.html
index ce97521..ae62f41 100644
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-<meta property="article:modified_time" content="2022-01-25T11:59:42+08:00" />
+<meta property="article:modified_time" content="2022-01-25T12:37:51+08:00" />
 <meta itemprop="name" content="Welcome Hailin Wang as new committer">
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 <meta itemprop="datePublished" content="2021-05-06T00:00:00+00:00" />
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diff --git a/events/welcome-han-liu-as-new-committer/index.html b/events/welcome-han-liu-as-new-committer/index.html
index 5b65784..1c3f4f4 100644
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+<meta property="article:modified_time" content="2022-01-25T12:37:51+08:00" />
 <meta itemprop="name" content="Welcome Han Liu as new committer">
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diff --git a/events/welcome-haochao-zhuang-as-new-committer/index.html b/events/welcome-haochao-zhuang-as-new-committer/index.html
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diff --git a/events/welcome-hongwei-zhai-to-join-the-pmc/index.html b/events/welcome-hongwei-zhai-to-join-the-pmc/index.html
index a0bad1d..5b3fb55 100644
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-<meta itemprop="dateModified" content="2022-01-25T11:59:42+08:00" />
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diff --git a/events/welcome-huaxi-jiang-as-new-committer/index.html b/events/welcome-huaxi-jiang-as-new-committer/index.html
index e162773..325f0dc 100644
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+<meta property="article:modified_time" content="2022-01-25T12:37:51+08:00" />
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 <meta itemprop="datePublished" content="2020-09-28T00:00:00+00:00" />
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diff --git a/events/welcome-jian-tan-as-a-new-committer/index.html b/events/welcome-jian-tan-as-a-new-committer/index.html
index e5a6728..18c9db2 100644
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+<meta property="article:modified_time" content="2022-01-25T12:37:51+08:00" />
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index 879f650..9b59416 100644
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diff --git a/events/welcome-jiapeng-liu-as-new-committer/index.html b/events/welcome-jiapeng-liu-as-new-committer/index.html
index 77d4db5..d27742b 100644
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 <meta itemprop="datePublished" content="2020-11-05T00:00:00+00:00" />
-<meta itemprop="dateModified" content="2022-01-25T11:59:42+08:00" />
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diff --git a/events/welcome-jinlin-fu-as-new-committer/index.html b/events/welcome-jinlin-fu-as-new-committer/index.html
index a82410f..8002070 100644
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+<meta property="article:modified_time" content="2022-01-25T12:37:51+08:00" />
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 <meta itemprop="datePublished" content="2019-01-10T00:00:00+00:00" />
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diff --git a/events/welcome-juntao-zhang-to-join-the-pmc/index.html b/events/welcome-juntao-zhang-to-join-the-pmc/index.html
index 0456d0d..ab43253 100644
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+<meta property="article:modified_time" content="2022-01-25T12:37:51+08:00" />
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diff --git a/events/welcome-kai-wan-to-join-the-pmc/index.html b/events/welcome-kai-wan-to-join-the-pmc/index.html
index f98f526..88ece46 100644
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 <meta itemprop="name" content="Welcome Kai Wan (万凯) to join the PMC">
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diff --git a/events/welcome-ke-zhang-as-new-committer/index.html b/events/welcome-ke-zhang-as-new-committer/index.html
index 58b0a71..e828de0 100644
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 <meta itemprop="name" content="Welcome Ke Zhang (张可) as new committer">
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diff --git a/events/welcome-lang-li-as-a-new-committer/index.html b/events/welcome-lang-li-as-a-new-committer/index.html
index 9ebe948..9c7adf7 100644
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 <meta itemprop="wordCount" content="16">
 
 
diff --git a/index.json b/index.json
index 008cfb1..a8a91c9 100644
--- a/index.json
+++ b/index.json
@@ -1 +1 @@
-[{"body":"","excerpt":"","ref":"/tags/performance/","title":"Performance"},{"body":"Background In the Apache SkyWalking ecosystem, the OAP obtains metrics, traces, logs, and event data through SkyWalking Agent, Envoy, or other data sources. Under the gRPC protocol, it transmits data by communicating with a single server node. Only when the connection is broken, the reconnecting policy would be used based on DNS round-robin mode. When new services are added at runtime or the OAP load is k [...]
\ No newline at end of file
+[{"body":"","excerpt":"","ref":"/tags/performance/","title":"Performance"},{"body":"Background In the Apache SkyWalking ecosystem, the OAP obtains metrics, traces, logs, and event data through SkyWalking Agent, Envoy, or other data sources. Under the gRPC protocol, it transmits data by communicating with a single server node. Only when the connection is broken, the reconnecting policy would be used based on DNS round-robin mode. When new services are added at runtime or the OAP load is k [...]
\ No newline at end of file
diff --git a/index.xml b/index.xml
index 9ca41cd..21d3e4d 100644
--- a/index.xml
+++ b/index.xml
@@ -113,7 +113,7 @@ The Routing steps are as follows:&lt;/p&gt;
 &lt;p&gt;Proxy still needs to deal with the load balancing problem from client to itself, especially when deploying a Proxy cluster in a production environment.&lt;/p&gt;
 &lt;p&gt;There are three ways to solve this problem:&lt;/p&gt;
 &lt;ol&gt;
-&lt;li&gt;&lt;strong&gt;Connection management&lt;/strong&gt;: Use the &lt;code&gt;max_connection*&lt;/code&gt; config on the client-side to specify the maximum connection duration of each connection. For more information, please read the proposal.&lt;/li&gt;
+&lt;li&gt;&lt;strong&gt;Connection management&lt;/strong&gt;: Use the &lt;code&gt;max_connection&lt;/code&gt; config on the client-side to specify the maximum connection duration of each connection. For more information, please read the &lt;a href=&#34;https://github.com/grpc/proposal/blob/master/A9-server-side-conn-mgt.md&#34;&gt;proposal&lt;/a&gt;.&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;Cluster awareness&lt;/strong&gt;: The proxy has cluster awareness, and actively disconnects the connection when the load is unbalanced to allow the client to re-pick up the proxy.&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;Resource limit+HPA&lt;/strong&gt;: Restrict the connection resource situation of each proxy, and no longer accept new connections when the resource limit is reached. And use the HPA mechanism of Kubernetes to dynamically scale out the number of the proxy.&lt;/li&gt;
 &lt;/ol&gt;
@@ -168,7 +168,7 @@ The Routing steps are as follows:&lt;/p&gt;
 &lt;/ol&gt;
 &lt;p&gt;NOTE: All commands could be accessed through &lt;a href=&#34;https://github.com/mrproliu/sw-satellite-demo-scripts/tree/1180c23e8f3bb36778307f9ae15395274ca039b3&#34;&gt;GitHub&lt;/a&gt;.&lt;/p&gt;
 &lt;h3 id=&#34;skywalking-scaling&#34;&gt;SkyWalking Scaling&lt;/h3&gt;
-&lt;p&gt;We will use the &lt;a href=&#34;https://istio.io/latest/docs/examples/bookinfo/&#34;&gt;bookinfo application&lt;/a&gt; to demonstrate how to integrate Apache SkyWalking 8.9.1 with Apache SkyWalking-Satellite 0.5.0+, and observe the service mesh through the Envoy ALS protocol.&lt;/p&gt;
+&lt;p&gt;We will use the &lt;a href=&#34;https://istio.io/latest/docs/examples/bookinfo/&#34;&gt;bookinfo application&lt;/a&gt; to demonstrate how to integrate Apache SkyWalking 8.9.1 with Apache SkyWalking-Satellite 0.5.0, and observe the service mesh through the Envoy ALS protocol.&lt;/p&gt;
 &lt;p&gt;Before starting, please make sure that you already have a Kubernetes environment.&lt;/p&gt;
 &lt;h4 id=&#34;install-istio&#34;&gt;Install Istio&lt;/h4&gt;
 &lt;p&gt;Istio provides a very convenient way to configure the Envoy proxy and enable the access log service. The following step:&lt;/p&gt;
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index 70e5bec..26d3d3c 100644
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index f47166c..5e531f4 100644
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diff --git a/tags/performance/index.html b/tags/performance/index.html
index e492df3..2931246 100644
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diff --git a/tags/performance/index.xml b/tags/performance/index.xml
index 2a4a5a1..00af321 100644
--- a/tags/performance/index.xml
+++ b/tags/performance/index.xml
@@ -115,7 +115,7 @@ The Routing steps are as follows:&lt;/p&gt;
 &lt;p&gt;Proxy still needs to deal with the load balancing problem from client to itself, especially when deploying a Proxy cluster in a production environment.&lt;/p&gt;
 &lt;p&gt;There are three ways to solve this problem:&lt;/p&gt;
 &lt;ol&gt;
-&lt;li&gt;&lt;strong&gt;Connection management&lt;/strong&gt;: Use the &lt;code&gt;max_connection*&lt;/code&gt; config on the client-side to specify the maximum connection duration of each connection. For more information, please read the proposal.&lt;/li&gt;
+&lt;li&gt;&lt;strong&gt;Connection management&lt;/strong&gt;: Use the &lt;code&gt;max_connection&lt;/code&gt; config on the client-side to specify the maximum connection duration of each connection. For more information, please read the &lt;a href=&#34;https://github.com/grpc/proposal/blob/master/A9-server-side-conn-mgt.md&#34;&gt;proposal&lt;/a&gt;.&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;Cluster awareness&lt;/strong&gt;: The proxy has cluster awareness, and actively disconnects the connection when the load is unbalanced to allow the client to re-pick up the proxy.&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;Resource limit+HPA&lt;/strong&gt;: Restrict the connection resource situation of each proxy, and no longer accept new connections when the resource limit is reached. And use the HPA mechanism of Kubernetes to dynamically scale out the number of the proxy.&lt;/li&gt;
 &lt;/ol&gt;
@@ -170,7 +170,7 @@ The Routing steps are as follows:&lt;/p&gt;
 &lt;/ol&gt;
 &lt;p&gt;NOTE: All commands could be accessed through &lt;a href=&#34;https://github.com/mrproliu/sw-satellite-demo-scripts/tree/1180c23e8f3bb36778307f9ae15395274ca039b3&#34;&gt;GitHub&lt;/a&gt;.&lt;/p&gt;
 &lt;h3 id=&#34;skywalking-scaling&#34;&gt;SkyWalking Scaling&lt;/h3&gt;
-&lt;p&gt;We will use the &lt;a href=&#34;https://istio.io/latest/docs/examples/bookinfo/&#34;&gt;bookinfo application&lt;/a&gt; to demonstrate how to integrate Apache SkyWalking 8.9.1 with Apache SkyWalking-Satellite 0.5.0+, and observe the service mesh through the Envoy ALS protocol.&lt;/p&gt;
+&lt;p&gt;We will use the &lt;a href=&#34;https://istio.io/latest/docs/examples/bookinfo/&#34;&gt;bookinfo application&lt;/a&gt; to demonstrate how to integrate Apache SkyWalking 8.9.1 with Apache SkyWalking-Satellite 0.5.0, and observe the service mesh through the Envoy ALS protocol.&lt;/p&gt;
 &lt;p&gt;Before starting, please make sure that you already have a Kubernetes environment.&lt;/p&gt;
 &lt;h4 id=&#34;install-istio&#34;&gt;Install Istio&lt;/h4&gt;
 &lt;p&gt;Istio provides a very convenient way to configure the Envoy proxy and enable the access log service. The following step:&lt;/p&gt;
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-                                <a href="https://github.com/Fine0830" target="_blank">
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-                                <a href="https://github.com/rootsongjc" target="_blank">
+                                <a href="https://github.com/Fine0830" target="_blank">
                                     <i class="fab fa-github"></i>
-                                    rootsongjc
+                                    Fine0830
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diff --git a/zh/2018-05-24-skywalking-net/index.html b/zh/2018-05-24-skywalking-net/index.html
index 1bcb09c..e1f80c4 100644
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+<meta property="article:modified_time" content="2022-01-25T12:37:51+08:00" />
 <meta itemprop="name" content="Apache SkyWalking 为.NET Core带来开箱即用的分布式追踪和应用性能监控">
 <meta itemprop="description" content="SkyWalking .NET Core SDK 现已可用。">
 <meta itemprop="datePublished" content="2018-05-24T00:00:00+00:00" />
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diff --git a/zh/2018-12-18-apache-skywalking-5-0-userguide/index.html b/zh/2018-12-18-apache-skywalking-5-0-userguide/index.html
index 1850cef..94c4997 100644
--- a/zh/2018-12-18-apache-skywalking-5-0-userguide/index.html
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@@ -24,11 +24,11 @@
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+<meta property="article:modified_time" content="2022-01-25T12:37:51+08:00" />
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 <meta itemprop="datePublished" content="2018-12-18T00:00:00+00:00" />
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diff --git a/zh/2018-12-21-skywalking-apm-sniffer-beginning/index.html b/zh/2018-12-21-skywalking-apm-sniffer-beginning/index.html
index 17fd627..61c4e12 100644
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+<meta property="article:modified_time" content="2022-01-25T12:37:51+08:00" />
 <meta itemprop="name" content="SkyWalking apm-sniffer 原理学习与插件编写">
 <meta itemprop="description" content="SkyWalking apm-sniffer 插件编写实践 与 ByteBuddy实现类转化的实践。">
 <meta itemprop="datePublished" content="2018-12-21T00:00:00+00:00" />
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diff --git a/zh/2018-12-21-skywalking-source-code-read/index.html b/zh/2018-12-21-skywalking-source-code-read/index.html
index 1235d39..32394a5 100644
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diff --git a/zh/2019-01-02-skywalking-elasticsearch-basic/index.html b/zh/2019-01-02-skywalking-elasticsearch-basic/index.html
index 84b2424..ec34254 100644
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diff --git a/zh/2019-01-02-understand-trace-trans2cn/index.html b/zh/2019-01-02-understand-trace-trans2cn/index.html
index a494eae..a17227c 100644
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diff --git a/zh/2019-01-03-monitor-microservice/index.html b/zh/2019-01-03-monitor-microservice/index.html
index 0927ad3..f445267 100644
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diff --git a/zh/2019-01-21-agent-plugin-practice/index.html b/zh/2019-01-21-agent-plugin-practice/index.html
index 48f4748..9080a78 100644
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diff --git a/zh/2019-01-24-skywalking-remote-debug/index.html b/zh/2019-01-24-skywalking-remote-debug/index.html
index 714f3d8..38bcd80 100644
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diff --git a/zh/2019-02-24-skywalking-pk-pinpoint/index.html b/zh/2019-02-24-skywalking-pk-pinpoint/index.html
index 8bcd7f6..7ad6b09 100644
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diff --git a/zh/2019-03-01-skywalking-troubleshoot/index.html b/zh/2019-03-01-skywalking-troubleshoot/index.html
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diff --git a/zh/2019-03-29-introduction-of-skywalking-and-simple-practice/index.html b/zh/2019-03-29-introduction-of-skywalking-and-simple-practice/index.html
index 15afb3c..62996cf 100644
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 <meta itemprop="datePublished" content="2019-03-23T00:00:00+00:00" />
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diff --git a/zh/2019-08-30-how-to-use-skywalking-agent/index.html b/zh/2019-08-30-how-to-use-skywalking-agent/index.html
index 28183f4..4e63ee0 100644
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 <meta itemprop="description" content="本文将教你如何在 docker 或者 kubernetes 使用Skywalking Agent。">
 <meta itemprop="datePublished" content="2019-08-30T00:00:00+00:00" />
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diff --git a/zh/2019-09-12-apache-skywalking-committer-apply-process/index.html b/zh/2019-09-12-apache-skywalking-committer-apply-process/index.html
index c0a2621..528a19e 100644
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diff --git a/zh/2019-10-08-how-to-use-sw-chart/index.html b/zh/2019-10-08-how-to-use-sw-chart/index.html
index 42e48a1..854fa5c 100644
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diff --git a/zh/2019-11-07-skywalking-elasticsearch-storage-optimization/index.html b/zh/2019-11-07-skywalking-elasticsearch-storage-optimization/index.html
index 9f3db52..3a9c9bf 100644
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 <meta itemprop="name" content="Chaos Mesh X SkyWalking: 可观测的混沌工程">
 <meta itemprop="description" content="本教程将分享如何通过将 SkyWalking 和 Chaos Mesh 结合,运用 Event 信息监控,实时了解混沌实验对应用服务性能造成的影响。">
 <meta itemprop="datePublished" content="2021-11-29T00:00:00+00:00" />
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index ff82b35..c4f35b5 100644
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 <meta itemprop="name" content="Cyborg Flow X SkyWalking: 生产环境全链路压测">
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 <meta itemprop="datePublished" content="2022-01-18T00:00:00+00:00" />
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diff --git a/zh/2022-01-24-scaling-with-apache-skywalking/index.html b/zh/2022-01-24-scaling-with-apache-skywalking/index.html
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+<title>SkyWalking 针对 gRPC 的负载均衡和自动扩容实践 | Apache SkyWalking</title><meta property="og:title" content="SkyWalking 针对 gRPC 的负载均衡和自动扩容实践" />
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-    <title>SkyWalking 针对gRPC 的负载均衡和自动扩容实践 | Apache SkyWalking</title>
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-	<h1>SkyWalking 针对gRPC 的负载均衡和自动扩容实践</h1>
+	<h1>SkyWalking 针对 gRPC 的负载均衡和自动扩容实践</h1>
 	<div class="lead">本文介绍如何通过 SkyWalking Satellite 在 SkyWalking 后台和代理之间进行负载均衡。</div>
 	<div class="td-byline mb-4">
 		By <b>刘晗,吴晟</b> |
@@ -222,11 +222,11 @@ if (!doNotTrack) {
 
 	</div>
 	<h2 id="背景介绍">背景介绍</h2>
-<p>在 Apache SkyWalking 生态系统中,OAP 通过 SkyWalking Agent、Envoy 或其他数据源获得度量、追踪、日志和事件数据。在 gRPC 协议下,它通过与单个服务器节点进行通信来传输数据。只有当连接中断时,才会使用基于 DNS 轮流模式的重新连接策略。当新的服务在运行时被添加,或者由于观察到的服务的流量增加而使 OAP 负载保持高位时,OAP 集群需要为增加的流量进行扩容。由于所有现有的代理已经连接到以前的节点,新的 OAP 节点的负载会比较小。即使没有扩展,OAP 节点的负载也会不平衡,因为代理会由于启动阶段的随机策略而保持连接。在这些情况下,保持所有节点的健康状态,还能在需要时进行扩展,将成为一个挑战。</p>
+<p>在 Apache SkyWalking 生态系统中,OAP 通过 SkyWalking Agent、Envoy 或其他数据源获得指标、追踪、日志和事件数据。在 gRPC 协议下,它通过与单个服务器节点进行通信来传输数据。只有当连接中断时,才会使用基于 DNS 轮流模式的重新连接策略。当新的服务在运行时被添加,或者由于观察到的服务的流量增加而使 OAP 负载保持高位时,OAP 集群需要为增加的流量进行扩容。由于所有现有的代理已经连接到以前的节点,新的 OAP 节点的负载会比较小。即使没有扩展,OAP 节点的负载也会不平衡,因为代理会由于启动阶段的随机策略而保持连接。在这些情况下,保持所有节点的健康状态,还能在需要时进行扩展,将成为一个挑战。</p>
 <p>在这篇文章中,我们主要讨论如何解决 SkyWalking 中的这一挑战。</p>
 <h2 id="如何实现负载均衡">如何实现负载均衡</h2>
 <p>SkyWalking 主要使用 gRPC 协议进行数据传输,所以本文主要介绍 gRPC 协议中的负载均衡。</p>
-<h3 id="代理人或客户端">代理人或客户端</h3>
+<h3 id="代理或客户端">代理或客户端</h3>
 <p>根据 <a href="https://grpc.io/blog/grpc-load-balancing/">gRPC 官方负载均衡博客</a>,有两种负载均衡的方法。</p>
 <ol>
 <li><strong>客户端</strong>。客户端感知到多个后端服务,并使用负载均衡算法为每个 RPC 选择一个后端服务。</li>
@@ -245,7 +245,7 @@ if (!doNotTrack) {
 <tr>
 <td>客户端</td>
 <td>由于消除了额外的跳跃,所以性能很高</td>
-<td>复杂的客户端(集群感知、负载均衡、健康检查等)确保每个要连接的数据源提供复杂的客户端功能</td>
+<td>复杂的客户端(集群感知、负载均衡、健康检查等);确保每个要连接的数据源提供复杂的客户端功能</td>
 </tr>
 <tr>
 <td>代理</td>
@@ -256,29 +256,29 @@ if (!doNotTrack) {
 </table>
 <p>我们选择代理模式是出于以下原因:</p>
 <ol>
-<li>可观察的数据对时间不是很敏感,传输造成的一点延迟是可以接受的。多跳一点是可以接受的,对客户端没有影响。</li>
+<li>可观察的数据对时间不是很敏感,传输造成的一点延迟是可以接受的。多一层跳跃是可以接受的,对客户端没有影响。</li>
 <li>作为一个观察性平台,我们不能 / 不应该要求改变客户端。他们做出自己的技术决定,并可能有自己的商业考虑。</li>
 </ol>
-<h3 id="传输政策">传输政策</h3>
+<h3 id="传输策略">传输策略</h3>
 <p>在代理模式下,我们应该确定下行和上行之间的传输路径。</p>
 <p>不同的数据协议需要不同的处理策略。有两种传输政策:</p>
 <ol>
 <li><strong>同步</strong>:适用于需要在客户端交换数据的协议,如 SkyWalking 动态配置服务。这种类型的协议提供实时结果。</li>
 <li><strong>异步批处理</strong>:当客户端不关心上游的处理结果,而只关心传输的数据(如追踪报告、日志报告等)时使用。</li>
 </ol>
-<p>同步策略要求代理在收到客户端消息时向上游服务器发送消息,并同步返回响应数据给下游客户端。通常情况下,只有少数协议需要使用同步策略。</p>
-<p>如下图所示,在客户端向代理发送请求后,代理将同步向服务器发送消息。当代理机构收到结果后,会返回给客户端。</p>
+<p>同步策略要求代理在收到客户端消息时,同时向上游服务器发送消息,并同步返回响应数据给下游客户端。通常情况下,只有少数协议需要使用同步策略。</p>
+<p>如下图所示,在客户端向代理发送请求后,代理将同步向服务器发送消息。当代理收到结果后,会返回给客户端。</p>
 <p><img src="./transmission-policy-synchronous.png" alt=""></p>
 <p>异步批处理策略意味着数据被异步地分批发送到上游服务器。这种策略比较常见,因为 SkyWalking 中的大多数协议主要是基于数据报告的。我们认为将队列作为一个缓冲区可以起到很好的效果。异步批处理策略是按照以下步骤执行的:</p>
 <ol>
 <li>代理接收数据并将其包装成一个事件对象。</li>
 <li>一个事件被添加到队列中。</li>
-<li>当达到循环时间或队列元素达到固定数量时,队列中的元素将被并行消耗并发送至 OAP。</li>
+<li>当达到一定间隔时间或队列元素达到固定数量时,队列中的元素将被并行消费并发送至 OAP。</li>
 </ol>
 <p>使用队列的好处是:</p>
 <ol>
 <li>将数据接收和发送分开,以减少相互影响。</li>
-<li>区间量化机制可用于组合事件,这有助于加快向 OAP 发送事件的速度。</li>
+<li>间隔时间和固定元素数机制可以很好的将事件合并,这有助于加快向 OAP 发送事件的速度。</li>
 <li>使用多线程的消费队列事件可以更充分地利用网络 IO。</li>
 </ol>
 <p>如下图所示,在代理收到消息后,代理将把消息包装成一个事件并推送到队列中。消息发送者将从队列中获取批量事件,并将其发送给上游的 OAP。</p>
@@ -287,9 +287,9 @@ if (!doNotTrack) {
 <p>路由算法被用来将消息路由到单一的上游服务器节点。</p>
 <p>Round-Robin 算法从上游服务节点的列表中按顺序选择节点。这种算法的优点是,每个节点被选择的次数是平均的。当数据的大小接近时,每个上游节点可以处理相同数量的数据内容。</p>
 <p><img src="./routing-round-robin.png" alt=""></p>
-<p>在 Weight Round-Robin 中,每个上游服务器节点都有一个相应的路由权重比。与Round-Robin 不同的是,每个上游节点根据其权重有更多机会被路由。这种算法更适合在上游服务器节点机器配置不同时使用。</p>
+<p>在 Weight Round-Robin 中,每个上游服务器节点都有一个相应的路由权重比。与 Round-Robin 不同的是,每个上游节点根据其权重设置,有更多机会被路由。这种算法更适合在上游服务器节点机器配置不同时使用。</p>
 <p><img src="./routing-weight-round-robin.png" alt=""></p>
-<p>Fixed 算法是一种混合算法。它可以保证相同的数据被路由到同一个上游服务器节点,当上游服务器规模缩小时,它仍然保持对同一节点的路由;除非上游节点不存在,否则它将重新路由。这种算法主要用于 SkyWalking Meter 协议,因为该协议需要确保同一服务实例的指标被发送到同一 OAP 节点。路由步骤如下:</p>
+<p>Fixed 算法是一种混合算法。它可以保证相同的数据被路由到同一个上游服务器节点,当上游服务器规模扩大或缩小时,它仍然保持对同一节点的路由;除非上游节点不存在,否则它将重新路由。这种算法主要用于 SkyWalking Meter 协议,因为该协议需要确保同一服务实例的指标被发送到同一 OAP 节点。路由步骤如下:</p>
 <ol>
 <li>根据数据内容生成一个独特的识别字符串,越短越好。数据量是可控的。</li>
 <li>从 LRU Cache 中获取身份的上游节点,如果存在就使用它。</li>
@@ -305,14 +305,14 @@ if (!doNotTrack) {
 <p><img src="./routing-fixed.png" alt=""></p>
 <p>我们选择使用 Round-Robin 和 Fixed 算法的组合进行路由。</p>
 <ol>
-<li>Fixed 路由算法适用于特定的协议,主要在向 SkyWalking Meter 协议传递度量数据时使用。</li>
+<li>Fixed 路由算法适用于特定的协议,主要在向 SkyWalking Meter 协议传递指标数据时使用。</li>
 <li>默认使用 Round-Robin 算法。当 SkyWalking OAP 集群被部署时,节点的配置需要尽可能的相同,所以就没有必要使用 Weight Round-Robin 算法。</li>
 </ol>
 <h2 id="如何平衡负载均衡器本身">如何平衡负载均衡器本身?</h2>
 <p>Proxy 仍然需要处理从客户端到自身的负载均衡问题,特别是在生产环境中部署 Proxy 集群时。</p>
 <p>有三种方法来解决这个问题:</p>
 <ol>
-<li><strong>连接管理</strong>:在客户端使用 max_connection * 配置来指定每个连接的最大连接时间。欲了解更多信息,请阅读提案。</li>
+<li><strong>连接管理</strong>:在客户端使用 <code>max_connection</code> 配置来指定每个连接的最大连接时间。欲了解更多信息,请阅读<a href="https://github.com/grpc/proposal/blob/master/A9-server-side-conn-mgt.md">提案</a>。</li>
 <li><strong>集群感知</strong>:代理有集群感知,当负载不均衡时,主动断开连接,让客户端重新接上代理。</li>
 <li><strong>资源限制 + HPA</strong>:限制每个代理的连接资源情况,达到资源限制时不再接受新连接。并利用 Kubernetes 的 HPA 机制来动态扩展代理的数量。</li>
 </ol>
@@ -340,7 +340,7 @@ if (!doNotTrack) {
 </tr>
 </tbody>
 </table>
-<p>我们选择 Limit+HPA 是出于这些原因:</p>
+<p>我们选择 资源限制+HPA 是出于这些原因:</p>
 <ol>
 <li>易于配置和使用代理,根据基本的数据指标,容易理解。</li>
 <li>没有因连接中断而导致的数据丢失。客户端不需要实施任何其他协议来防止数据丢失,特别是当客户端是一个商业产品时。</li>
@@ -349,15 +349,15 @@ if (!doNotTrack) {
 <h2 id="skywalking-satellite">SkyWalking-Satellite</h2>
 <p>我们已经在 <a href="https://github.com/apache/skywalking-satellite">SkyWalking-Satellite</a> 项目中实现了这个代理。它被用于客户端和 SkyWalking OAP 之间,有效地解决了负载均衡问题。</p>
 <p>系统部署后,Satellite 会接受来自客户端的流量,Satellite 会通过 Kubernetes 标签选择器或手动配置感知 OAP 的所有节点,并将流量负载均衡到上游的 OAP 节点。</p>
-<p>如下图所示,单个客户仍与单个 Satellite 保持连接,Satellite 将与每个 OAP 建立连接,并向 OAP 节点发送负载均衡信息。</p>
+<p>如下图所示,单个客户端仍与单个 Satellite 保持连接,Satellite 将与每个 OAP 建立连接,并将消息负载均衡的发向 OAP 节点。</p>
 <p><img src="./skywalking-satellites.png" alt=""></p>
 <p>在扩展 Satellite 时,我们需要在 Kubernetes 中部署 <a href="https://github.com/apache/skywalking-swck">SWCK</a> 适配器并配置 HPA。SWCK 是 SkyWalking 用户的平台,提供、升级、维护 SkyWalking 的相关组件,并使其在 Kubernetes 上原生工作。</p>
 <p>部署完成后,将进行以下步骤:</p>
 <ol>
-<li>从 OAP 中读取度量。HPA 要求 SWCK 指标适配器动态地读取 OAP 中的指标。</li>
-<li>扩大 Satellite 的规模。Kubernetes HPA 感觉到指标值符合预期,所以 Satellite 会自动进行扩展。</li>
+<li>从 OAP 中读取指标。HPA 要求 SWCK 指标适配器动态地读取 OAP 中的指标。</li>
+<li>扩大 Satellite 的规模。当 Kubernetes HPA 感知到指标值符合预期,Satellite 便会自动进行扩展。</li>
 </ol>
-<p>如下图所示,用虚线来划分这两部分。HPA 使用 SWCK 适配器来读取 OAP 中的度量。当达到阈值时,HPA 将对 Satellite 部署进行扩展。</p>
+<p>如下图所示,用虚线来划分这两部分。HPA 使用 SWCK 适配器来读取 OAP 中的指标。当达到阈值时,HPA 将对 Satellite 部署进行扩展。</p>
 <p><img src="swck-hpa.png" alt=""></p>
 <h2 id="例子">例子</h2>
 <p>在本节中,我们将展示两种情况。</p>
@@ -367,14 +367,14 @@ if (!doNotTrack) {
 </ol>
 <p>注意:所有命令都可以通过 <a href="https://github.com/mrproliu/sw-satellite-demo-scripts/tree/1180c23e8f3bb36778307f9ae15395274ca039b3">GitHub</a> 访问。</p>
 <h3 id="skywalking-扩展">SkyWalking 扩展</h3>
-<p>我们将使用 <a href="https://istio.io/latest/docs/examples/bookinfo/">bookinfo 应用程序</a>演示如何将 Apache SkyWalking 8.9.1 与 Apache SkyWalking-Satellite 0.5.0 + 集成,并通过 Envoy ALS 协议观察服务网格。</p>
+<p>我们将使用 <a href="https://istio.io/latest/docs/examples/bookinfo/">bookinfo 应用程序</a> 演示如何将 Apache SkyWalking 8.9.1 与 Apache SkyWalking-Satellite 0.5.0 集成,并通过 Envoy ALS 协议观察服务网格。</p>
 <p>在开始之前,请确保你已经有一个 Kubernetes 环境。</p>
 <h4 id="安装-istio"><strong>安装 Istio</strong></h4>
 <p>Istio 提供了一个非常方便的方法来配置 Envoy 代理并启用访问日志服务。下面的步骤:</p>
 <ol>
 <li>在本地安装 istioctl 以帮助管理 Istio 服务网格。</li>
-<li>将 Istio 安装到 Kubernetes 环境中,使用演示配置配置文件,并启用 Envoy ALS。将 ALS 消息传输到 Satellite 上。我们稍后将部署的 Satellite。</li>
-<li>将标签添加到默认命名空间中,这样 Istio 就可以在你以后部署应用程序时自动注入 Envoy 挎包代理。</li>
+<li>将 Istio 安装到 Kubernetes 环境中,使用 demo 配置,并启用 Envoy ALS。将 ALS 消息传输到 Satellite 上。我们稍后将部署的 Satellite。</li>
+<li>将标签添加到默认命名空间中,这样 Istio 就可以在你以后部署应用程序时自动注入 Envoy sidecar 代理。</li>
 </ol>
 <div class="highlight"><pre style="background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4"><code class="language-sh" data-lang="sh"><span style="color:#998;font-style:italic"># install istioctl</span>
 <span style="color:#0086b3">export</span> <span style="color:#008080">ISTIO_VERSION</span><span style="color:#000;font-weight:bold">=</span>1.12.0
@@ -389,7 +389,7 @@ istioctl install -y --set <span style="color:#008080">profile</span><span style=
 <span style="color:#998;font-style:italic"># enbale envoy proxy in default namespace</span>
 kubectl label namespace default istio-injection<span style="color:#000;font-weight:bold">=</span>enabled
 </code></pre></div><h4 id="安装-swck"><strong>安装 SWCK</strong></h4>
-<p>SWCK 为用户部署和升级基于 Kubernetes 的 SkyWalking 相关组件提供了便利。Satellite 的自动扩展功能也主要依赖于 SWCK。更多信息,你可以参考<a href="https://github.com/apache/skywalking-swck/blob/master/docs/operator.md#guides-of-operator-deployment">官方文档</a>。</p>
+<p>SWCK 为用户部署和升级基于 Kubernetes 的 SkyWalking 相关组件提供了便利。Satellite 的自动扩展功能也主要依赖于 SWCK。更多信息,你可以参考 <a href="https://github.com/apache/skywalking-swck/blob/master/docs/operator.md#guides-of-operator-deployment">官方文档</a> 。</p>
 <div class="highlight"><pre style="background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4"><code class="language-sh" data-lang="sh"><span style="color:#998;font-style:italic"># Install cert-manager</span>
 kubectl apply -f https://github.com/jetstack/cert-manager/releases/download/v1.3.1/cert-manager.yaml
 
@@ -412,7 +412,7 @@ kubectl apply -f https://raw.githubusercontent.com/istio/istio/<span style="colo
 kubectl <span style="color:#0086b3">wait</span> --for<span style="color:#000;font-weight:bold">=</span><span style="color:#008080">condition</span><span style="color:#000;font-weight:bold">=</span>Ready pods --all --timeout<span style="color:#000;font-weight:bold">=</span>1200s
 kubectl port-forward service/productpage <span style="color:#099">9080</span>
 </code></pre></div><p>接下来,请打开你的浏览器并访问 http://localhost:9080。你应该能够看到 Bookinfo 应用程序。多次刷新网页以产生足够的访问日志。</p>
-<p>然后,你可以在 SkyWalking WebUI 上看到 Bookinfo 应用程序的拓扑结构和指标。这时,你可以看到,Satellite 正在工作。</p>
+<p>然后,你可以在 SkyWalking WebUI 上看到 Bookinfo 应用程序的拓扑结构和指标。这时你可以看到,Satellite 已经正在工作。</p>
 <h4 id="部署监控器"><strong>部署监控器</strong></h4>
 <p>我们需要安装 OpenTelemetry Collector 来收集 OAP 中的指标并对其进行分析。</p>
 <div class="highlight"><pre style="background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4"><code class="language-sh" data-lang="sh"><span style="color:#998;font-style:italic"># Add OTEL collector</span>
@@ -422,7 +422,7 @@ kubectl port-forward -n skywalking-system  service/skywalking-system-ui 8080:80
 </code></pre></div><p>接下来,请打开浏览器,访问 http://localhost:8080/,并在仪表板上创建一个新项目。下图中的 SkyWalking Web UI 显示了数据内容的应用方式。</p>
 <p><img src="./mesh-count-conf.png" alt=""></p>
 <h4 id="扩容-oap">扩容 OAP</h4>
-<p>通过部署扩容 OAP 的数量。</p>
+<p>通过 Deployment,扩容 OAP 的数量。</p>
 <div class="highlight"><pre style="background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4"><code class="language-sh" data-lang="sh">kubectl scale --replicas<span style="color:#000;font-weight:bold">=</span><span style="color:#099">3</span> -n skywalking-system deployment/skywalking-system-oap
 </code></pre></div><h4 id="完成">完成</h4>
 <p>一段时间后,你会看到 OAP 的数量变成了 3 个,而且 ALS 的流量被平衡到每个 OAP。</p>
@@ -430,12 +430,12 @@ kubectl port-forward -n skywalking-system  service/skywalking-system-ui 8080:80
 <h3 id="扩容-satellite">扩容 Satellite</h3>
 <p>在我们完成了 SkyWalking Scaling 之后,我们将进行 Satellite Scaling 演示。</p>
 <h4 id="部署-swck-hpa"><strong>部署 SWCK HPA</strong></h4>
-<p>SWCK 提供了一个适配器来实现 Kubernetes 外部指标,通过读取 SkyWalking OAP 中的指标来适应 HPA。我们将 Satellite 中的度量服务暴露给 OAP,并配置 HPA 资源来自动扩展 Satellite。</p>
+<p>SWCK 提供了一个适配器来实现 Kubernetes 外部指标监控,通过读取 SkyWalking OAP 中的指标来适应 HPA。我们将 Satellite 中的指标服务暴露给 OAP,并配置 HPA 资源来自动扩展 Satellite。</p>
 <p>将 SWCK 适配器安装到 Kubernetes 环境中。</p>
 <div class="highlight"><pre style="background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4"><code class="language-sh" data-lang="sh">kubectl apply -f skywalking-swck/config/adapter-bundle.yaml
 </code></pre></div><p>创建 HPA 资源,并限制每个 Satellite 最多可处理 10 个连接。</p>
 <div class="highlight"><pre style="background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4"><code class="language-sh" data-lang="sh">kubectl apply -f https://raw.githubusercontent.com/mrproliu/sw-satellite-demo-scripts/5821a909b647f7c8f99c70378e197630836f45f7/resources/satellite-hpa.yaml
-</code></pre></div><p>然后,你可以看到我们在一个 Satellite 上有 9 个连接。一个特使代理可能建立多个连接到 Satellite。</p>
+</code></pre></div><p>然后,你可以看到我们在一个 Satellite 上有 9 个连接。一个 Envoy 代理可能建立多个连接到 Satellite。</p>
 <div class="highlight"><pre style="background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4"><code class="language-sh" data-lang="sh">$ kubectl get HorizontalPodAutoscaler -n skywalking-system
 NAME       REFERENCE                                TARGETS   MINPODS   MAXPODS   REPLICAS   AGE
 hpa-demo   Deployment/skywalking-system-satellite   9/10      <span style="color:#099">1</span>         <span style="color:#099">3</span>         <span style="color:#099">1</span>          5m18s
@@ -443,8 +443,8 @@ hpa-demo   Deployment/skywalking-system-satellite   9/10      <span style="color
 <p>扩容应用程序可以建立更多与 Satellite 的连接,以验证 HPA 是否生效。</p>
 <div class="highlight"><pre style="background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4"><code class="language-sh" data-lang="sh">kubectl scale --replicas<span style="color:#000;font-weight:bold">=</span><span style="color:#099">3</span> deployment/productpage-v1 deployment/details-v1
 </code></pre></div><h4 id="完成-1">完成</h4>
-<p>默认情况下,Satellite 将部署一个实例,一个实例只能接受 11 个连接。HPA 资源限制一个 Satellite 处理 10 个连接,并使用一个稳定窗口使 Satellite 稳定扩展。在这种情况下,我们在扩展后将 Bookinfo 应用程序部署在 10 多个实例中,这意味着将有 10 多个连接建立到 Satellite 上。</p>
-<p>所以在 HPA 资源运行后,Satellite 会自动扩展到 2 个实例。你可以通过<a href="https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/#algorithm-details">官方文档</a>了解复制的计算算法。运行下面的命令来查看运行状态。</p>
+<p>默认情况下,Satellite 将部署一个实例,一个实例只能接受 11 个连接。HPA 资源限制一个 Satellite 处理 10 个连接,并使用稳定窗口使 Satellite 稳定扩展。在这种情况下,我们在扩展后将 Bookinfo 应用程序部署在 10 多个实例中,这意味着将有 10 多个连接建立到 Satellite 上。</p>
+<p>所以在 HPA 资源运行后,Satellite 会自动扩展到 2 个实例。你可以通过 <a href="https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/#algorithm-details">官方文档</a> 了解扩容/缩容的计算算法。运行下面的命令来查看运行状态。</p>
 <div class="highlight"><pre style="background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4"><code class="language-sh" data-lang="sh">$ kubectl get HorizontalPodAutoscaler -n skywalking-system --watch
 NAME       REFERENCE                                TARGETS   MINPODS   MAXPODS   REPLICAS   AGE
 hpa-demo   Deployment/skywalking-system-satellite   11/10     <span style="color:#099">1</span>         <span style="color:#099">3</span>         <span style="color:#099">1</span>          3m31s
@@ -452,7 +452,7 @@ hpa-demo   Deployment/skywalking-system-satellite   11/10     <span style="color
 hpa-demo   Deployment/skywalking-system-satellite   11/10     <span style="color:#099">1</span>         <span style="color:#099">3</span>         <span style="color:#099">2</span>          4m38s
 hpa-demo   Deployment/skywalking-system-satellite   11/10     <span style="color:#099">1</span>         <span style="color:#099">3</span>         <span style="color:#099">2</span>          5m8s
 hpa-demo   Deployment/skywalking-system-satellite   6/10      <span style="color:#099">1</span>         <span style="color:#099">3</span>         <span style="color:#099">2</span>          5m23s
-</code></pre></div><p>通过观察 “连接数 “指标,我们将能够看到,当每个 gRPC 的连接数超过 10 个连接时,那么 Satellite 就会通过 HPA 规则自动进行扩展。结果是,连接数下降到正常状态(在这个例子中,小于 10 个)</p>
+</code></pre></div><p>通过观察 “连接数“ 指标,我们将能够看到,当每个 gRPC 的连接数超过 10 个连接时,那么 Satellite 就会通过 HPA 规则自动进行扩展。结果是,连接数下降到正常状态(在这个例子中,小于 10 个)</p>
 <div class="highlight"><pre style="background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4"><code class="language-sh" data-lang="sh">swctl metrics linear --name satellite_service_grpc_connect_count --service-name satellite::satellite-service
 </code></pre></div><p><img src="satellite-connection-metrics.png" alt=""></p>
 
@@ -603,8 +603,8 @@ hpa-demo   Deployment/skywalking-system-satellite   6/10      <span style="color
         <li><a href="#背景介绍">背景介绍</a></li>
         <li><a href="#如何实现负载均衡">如何实现负载均衡</a>
           <ul>
-            <li><a href="#代理人或客户端">代理人或客户端</a></li>
-            <li><a href="#传输政策">传输政策</a></li>
+            <li><a href="#代理或客户端">代理或客户端</a></li>
+            <li><a href="#传输策略">传输策略</a></li>
             <li><a href="#路由">路由</a></li>
           </ul>
         </li>
diff --git a/zh/index.html b/zh/index.html
index bf0aa86..a5a96f7 100644
--- a/zh/index.html
+++ b/zh/index.html
@@ -212,7 +212,7 @@ if (!doNotTrack) {
 			
 			<li class="media mb-4">
 				<div class="media-body">
-					<h5 class="mt-0 mb-1"><a href="/zh/2022-01-24-scaling-with-apache-skywalking/">SkyWalking 针对gRPC 的负载均衡和自动扩容实践</a></h5>
+					<h5 class="mt-0 mb-1"><a href="/zh/2022-01-24-scaling-with-apache-skywalking/">SkyWalking 针对 gRPC 的负载均衡和自动扩容实践</a></h5>
 					<p class="mb-2 mb-md-3"><small class="text-muted">Monday, January 24, 2022 in 博客</small></p>
 					
 
diff --git a/zh/index.xml b/zh/index.xml
index f76a687..e975eac 100644
--- a/zh/index.xml
+++ b/zh/index.xml
@@ -14,7 +14,7 @@
     
     
     <item>
-      <title>Zh: SkyWalking 针对gRPC 的负载均衡和自动扩容实践</title>
+      <title>Zh: SkyWalking 针对 gRPC 的负载均衡和自动扩容实践</title>
       <link>/zh/2022-01-24-scaling-with-apache-skywalking/</link>
       <pubDate>Mon, 24 Jan 2022 00:00:00 +0000</pubDate>
       
@@ -23,11 +23,11 @@
         
         
         &lt;h2 id=&#34;背景介绍&#34;&gt;背景介绍&lt;/h2&gt;
-&lt;p&gt;在 Apache SkyWalking 生态系统中,OAP 通过 SkyWalking Agent、Envoy 或其他数据源获得度量、追踪、日志和事件数据。在 gRPC 协议下,它通过与单个服务器节点进行通信来传输数据。只有当连接中断时,才会使用基于 DNS 轮流模式的重新连接策略。当新的服务在运行时被添加,或者由于观察到的服务的流量增加而使 OAP 负载保持高位时,OAP 集群需要为增加的流量进行扩容。由于所有现有的代理已经连接到以前的节点,新的 OAP 节点的负载会比较小。即使没有扩展,OAP 节点的负载也会不平衡,因为代理会由于启动阶段的随机策略而保持连接。在这些情况下,保持所有节点的健康状态,还能在需要时进行扩展,将成为一个挑战。&lt;/p&gt;
+&lt;p&gt;在 Apache SkyWalking 生态系统中,OAP 通过 SkyWalking Agent、Envoy 或其他数据源获得指标、追踪、日志和事件数据。在 gRPC 协议下,它通过与单个服务器节点进行通信来传输数据。只有当连接中断时,才会使用基于 DNS 轮流模式的重新连接策略。当新的服务在运行时被添加,或者由于观察到的服务的流量增加而使 OAP 负载保持高位时,OAP 集群需要为增加的流量进行扩容。由于所有现有的代理已经连接到以前的节点,新的 OAP 节点的负载会比较小。即使没有扩展,OAP 节点的负载也会不平衡,因为代理会由于启动阶段的随机策略而保持连接。在这些情况下,保持所有节点的健康状态,还能在需要时进行扩展,将成为一个挑战。&lt;/p&gt;
 &lt;p&gt;在这篇文章中,我们主要讨论如何解决 SkyWalking 中的这一挑战。&lt;/p&gt;
 &lt;h2 id=&#34;如何实现负载均衡&#34;&gt;如何实现负载均衡&lt;/h2&gt;
 &lt;p&gt;SkyWalking 主要使用 gRPC 协议进行数据传输,所以本文主要介绍 gRPC 协议中的负载均衡。&lt;/p&gt;
-&lt;h3 id=&#34;代理人或客户端&#34;&gt;代理人或客户端&lt;/h3&gt;
+&lt;h3 id=&#34;代理或客户端&#34;&gt;代理或客户端&lt;/h3&gt;
 &lt;p&gt;根据 &lt;a href=&#34;https://grpc.io/blog/grpc-load-balancing/&#34;&gt;gRPC 官方负载均衡博客&lt;/a&gt;,有两种负载均衡的方法。&lt;/p&gt;
 &lt;ol&gt;
 &lt;li&gt;&lt;strong&gt;客户端&lt;/strong&gt;。客户端感知到多个后端服务,并使用负载均衡算法为每个 RPC 选择一个后端服务。&lt;/li&gt;
@@ -46,7 +46,7 @@
 &lt;tr&gt;
 &lt;td&gt;客户端&lt;/td&gt;
 &lt;td&gt;由于消除了额外的跳跃,所以性能很高&lt;/td&gt;
-&lt;td&gt;复杂的客户端(集群感知、负载均衡、健康检查等)确保每个要连接的数据源提供复杂的客户端功能&lt;/td&gt;
+&lt;td&gt;复杂的客户端(集群感知、负载均衡、健康检查等);确保每个要连接的数据源提供复杂的客户端功能&lt;/td&gt;
 &lt;/tr&gt;
 &lt;tr&gt;
 &lt;td&gt;代理&lt;/td&gt;
@@ -57,29 +57,29 @@
 &lt;/table&gt;
 &lt;p&gt;我们选择代理模式是出于以下原因:&lt;/p&gt;
 &lt;ol&gt;
-&lt;li&gt;可观察的数据对时间不是很敏感,传输造成的一点延迟是可以接受的。多跳一点是可以接受的,对客户端没有影响。&lt;/li&gt;
+&lt;li&gt;可观察的数据对时间不是很敏感,传输造成的一点延迟是可以接受的。多一层跳跃是可以接受的,对客户端没有影响。&lt;/li&gt;
 &lt;li&gt;作为一个观察性平台,我们不能 / 不应该要求改变客户端。他们做出自己的技术决定,并可能有自己的商业考虑。&lt;/li&gt;
 &lt;/ol&gt;
-&lt;h3 id=&#34;传输政策&#34;&gt;传输政策&lt;/h3&gt;
+&lt;h3 id=&#34;传输策略&#34;&gt;传输策略&lt;/h3&gt;
 &lt;p&gt;在代理模式下,我们应该确定下行和上行之间的传输路径。&lt;/p&gt;
 &lt;p&gt;不同的数据协议需要不同的处理策略。有两种传输政策:&lt;/p&gt;
 &lt;ol&gt;
 &lt;li&gt;&lt;strong&gt;同步&lt;/strong&gt;:适用于需要在客户端交换数据的协议,如 SkyWalking 动态配置服务。这种类型的协议提供实时结果。&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;异步批处理&lt;/strong&gt;:当客户端不关心上游的处理结果,而只关心传输的数据(如追踪报告、日志报告等)时使用。&lt;/li&gt;
 &lt;/ol&gt;
-&lt;p&gt;同步策略要求代理在收到客户端消息时向上游服务器发送消息,并同步返回响应数据给下游客户端。通常情况下,只有少数协议需要使用同步策略。&lt;/p&gt;
-&lt;p&gt;如下图所示,在客户端向代理发送请求后,代理将同步向服务器发送消息。当代理机构收到结果后,会返回给客户端。&lt;/p&gt;
+&lt;p&gt;同步策略要求代理在收到客户端消息时,同时向上游服务器发送消息,并同步返回响应数据给下游客户端。通常情况下,只有少数协议需要使用同步策略。&lt;/p&gt;
+&lt;p&gt;如下图所示,在客户端向代理发送请求后,代理将同步向服务器发送消息。当代理收到结果后,会返回给客户端。&lt;/p&gt;
 &lt;p&gt;&lt;img src=&#34;./transmission-policy-synchronous.png&#34; alt=&#34;&#34;&gt;&lt;/p&gt;
 &lt;p&gt;异步批处理策略意味着数据被异步地分批发送到上游服务器。这种策略比较常见,因为 SkyWalking 中的大多数协议主要是基于数据报告的。我们认为将队列作为一个缓冲区可以起到很好的效果。异步批处理策略是按照以下步骤执行的:&lt;/p&gt;
 &lt;ol&gt;
 &lt;li&gt;代理接收数据并将其包装成一个事件对象。&lt;/li&gt;
 &lt;li&gt;一个事件被添加到队列中。&lt;/li&gt;
-&lt;li&gt;当达到循环时间或队列元素达到固定数量时,队列中的元素将被并行消耗并发送至 OAP。&lt;/li&gt;
+&lt;li&gt;当达到一定间隔时间或队列元素达到固定数量时,队列中的元素将被并行消费并发送至 OAP。&lt;/li&gt;
 &lt;/ol&gt;
 &lt;p&gt;使用队列的好处是:&lt;/p&gt;
 &lt;ol&gt;
 &lt;li&gt;将数据接收和发送分开,以减少相互影响。&lt;/li&gt;
-&lt;li&gt;区间量化机制可用于组合事件,这有助于加快向 OAP 发送事件的速度。&lt;/li&gt;
+&lt;li&gt;间隔时间和固定元素数机制可以很好的将事件合并,这有助于加快向 OAP 发送事件的速度。&lt;/li&gt;
 &lt;li&gt;使用多线程的消费队列事件可以更充分地利用网络 IO。&lt;/li&gt;
 &lt;/ol&gt;
 &lt;p&gt;如下图所示,在代理收到消息后,代理将把消息包装成一个事件并推送到队列中。消息发送者将从队列中获取批量事件,并将其发送给上游的 OAP。&lt;/p&gt;
@@ -88,9 +88,9 @@
 &lt;p&gt;路由算法被用来将消息路由到单一的上游服务器节点。&lt;/p&gt;
 &lt;p&gt;Round-Robin 算法从上游服务节点的列表中按顺序选择节点。这种算法的优点是,每个节点被选择的次数是平均的。当数据的大小接近时,每个上游节点可以处理相同数量的数据内容。&lt;/p&gt;
 &lt;p&gt;&lt;img src=&#34;./routing-round-robin.png&#34; alt=&#34;&#34;&gt;&lt;/p&gt;
-&lt;p&gt;在 Weight Round-Robin 中,每个上游服务器节点都有一个相应的路由权重比。与Round-Robin 不同的是,每个上游节点根据其权重有更多机会被路由。这种算法更适合在上游服务器节点机器配置不同时使用。&lt;/p&gt;
+&lt;p&gt;在 Weight Round-Robin 中,每个上游服务器节点都有一个相应的路由权重比。与 Round-Robin 不同的是,每个上游节点根据其权重设置,有更多机会被路由。这种算法更适合在上游服务器节点机器配置不同时使用。&lt;/p&gt;
 &lt;p&gt;&lt;img src=&#34;./routing-weight-round-robin.png&#34; alt=&#34;&#34;&gt;&lt;/p&gt;
-&lt;p&gt;Fixed 算法是一种混合算法。它可以保证相同的数据被路由到同一个上游服务器节点,当上游服务器规模缩小时,它仍然保持对同一节点的路由;除非上游节点不存在,否则它将重新路由。这种算法主要用于 SkyWalking Meter 协议,因为该协议需要确保同一服务实例的指标被发送到同一 OAP 节点。路由步骤如下:&lt;/p&gt;
+&lt;p&gt;Fixed 算法是一种混合算法。它可以保证相同的数据被路由到同一个上游服务器节点,当上游服务器规模扩大或缩小时,它仍然保持对同一节点的路由;除非上游节点不存在,否则它将重新路由。这种算法主要用于 SkyWalking Meter 协议,因为该协议需要确保同一服务实例的指标被发送到同一 OAP 节点。路由步骤如下:&lt;/p&gt;
 &lt;ol&gt;
 &lt;li&gt;根据数据内容生成一个独特的识别字符串,越短越好。数据量是可控的。&lt;/li&gt;
 &lt;li&gt;从 LRU Cache 中获取身份的上游节点,如果存在就使用它。&lt;/li&gt;
@@ -106,14 +106,14 @@
 &lt;p&gt;&lt;img src=&#34;./routing-fixed.png&#34; alt=&#34;&#34;&gt;&lt;/p&gt;
 &lt;p&gt;我们选择使用 Round-Robin 和 Fixed 算法的组合进行路由。&lt;/p&gt;
 &lt;ol&gt;
-&lt;li&gt;Fixed 路由算法适用于特定的协议,主要在向 SkyWalking Meter 协议传递度量数据时使用。&lt;/li&gt;
+&lt;li&gt;Fixed 路由算法适用于特定的协议,主要在向 SkyWalking Meter 协议传递指标数据时使用。&lt;/li&gt;
 &lt;li&gt;默认使用 Round-Robin 算法。当 SkyWalking OAP 集群被部署时,节点的配置需要尽可能的相同,所以就没有必要使用 Weight Round-Robin 算法。&lt;/li&gt;
 &lt;/ol&gt;
 &lt;h2 id=&#34;如何平衡负载均衡器本身&#34;&gt;如何平衡负载均衡器本身?&lt;/h2&gt;
 &lt;p&gt;Proxy 仍然需要处理从客户端到自身的负载均衡问题,特别是在生产环境中部署 Proxy 集群时。&lt;/p&gt;
 &lt;p&gt;有三种方法来解决这个问题:&lt;/p&gt;
 &lt;ol&gt;
-&lt;li&gt;&lt;strong&gt;连接管理&lt;/strong&gt;:在客户端使用 max_connection * 配置来指定每个连接的最大连接时间。欲了解更多信息,请阅读提案。&lt;/li&gt;
+&lt;li&gt;&lt;strong&gt;连接管理&lt;/strong&gt;:在客户端使用 &lt;code&gt;max_connection&lt;/code&gt; 配置来指定每个连接的最大连接时间。欲了解更多信息,请阅读&lt;a href=&#34;https://github.com/grpc/proposal/blob/master/A9-server-side-conn-mgt.md&#34;&gt;提案&lt;/a&gt;。&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;集群感知&lt;/strong&gt;:代理有集群感知,当负载不均衡时,主动断开连接,让客户端重新接上代理。&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;资源限制 + HPA&lt;/strong&gt;:限制每个代理的连接资源情况,达到资源限制时不再接受新连接。并利用 Kubernetes 的 HPA 机制来动态扩展代理的数量。&lt;/li&gt;
 &lt;/ol&gt;
@@ -141,7 +141,7 @@
 &lt;/tr&gt;
 &lt;/tbody&gt;
 &lt;/table&gt;
-&lt;p&gt;我们选择 Limit+HPA 是出于这些原因:&lt;/p&gt;
+&lt;p&gt;我们选择 资源限制+HPA 是出于这些原因:&lt;/p&gt;
 &lt;ol&gt;
 &lt;li&gt;易于配置和使用代理,根据基本的数据指标,容易理解。&lt;/li&gt;
 &lt;li&gt;没有因连接中断而导致的数据丢失。客户端不需要实施任何其他协议来防止数据丢失,特别是当客户端是一个商业产品时。&lt;/li&gt;
@@ -150,15 +150,15 @@
 &lt;h2 id=&#34;skywalking-satellite&#34;&gt;SkyWalking-Satellite&lt;/h2&gt;
 &lt;p&gt;我们已经在 &lt;a href=&#34;https://github.com/apache/skywalking-satellite&#34;&gt;SkyWalking-Satellite&lt;/a&gt; 项目中实现了这个代理。它被用于客户端和 SkyWalking OAP 之间,有效地解决了负载均衡问题。&lt;/p&gt;
 &lt;p&gt;系统部署后,Satellite 会接受来自客户端的流量,Satellite 会通过 Kubernetes 标签选择器或手动配置感知 OAP 的所有节点,并将流量负载均衡到上游的 OAP 节点。&lt;/p&gt;
-&lt;p&gt;如下图所示,单个客户仍与单个 Satellite 保持连接,Satellite 将与每个 OAP 建立连接,并向 OAP 节点发送负载均衡信息。&lt;/p&gt;
+&lt;p&gt;如下图所示,单个客户端仍与单个 Satellite 保持连接,Satellite 将与每个 OAP 建立连接,并将消息负载均衡的发向 OAP 节点。&lt;/p&gt;
 &lt;p&gt;&lt;img src=&#34;./skywalking-satellites.png&#34; alt=&#34;&#34;&gt;&lt;/p&gt;
 &lt;p&gt;在扩展 Satellite 时,我们需要在 Kubernetes 中部署 &lt;a href=&#34;https://github.com/apache/skywalking-swck&#34;&gt;SWCK&lt;/a&gt; 适配器并配置 HPA。SWCK 是 SkyWalking 用户的平台,提供、升级、维护 SkyWalking 的相关组件,并使其在 Kubernetes 上原生工作。&lt;/p&gt;
 &lt;p&gt;部署完成后,将进行以下步骤:&lt;/p&gt;
 &lt;ol&gt;
-&lt;li&gt;从 OAP 中读取度量。HPA 要求 SWCK 指标适配器动态地读取 OAP 中的指标。&lt;/li&gt;
-&lt;li&gt;扩大 Satellite 的规模。Kubernetes HPA 感觉到指标值符合预期,所以 Satellite 会自动进行扩展。&lt;/li&gt;
+&lt;li&gt;从 OAP 中读取指标。HPA 要求 SWCK 指标适配器动态地读取 OAP 中的指标。&lt;/li&gt;
+&lt;li&gt;扩大 Satellite 的规模。当 Kubernetes HPA 感知到指标值符合预期,Satellite 便会自动进行扩展。&lt;/li&gt;
 &lt;/ol&gt;
-&lt;p&gt;如下图所示,用虚线来划分这两部分。HPA 使用 SWCK 适配器来读取 OAP 中的度量。当达到阈值时,HPA 将对 Satellite 部署进行扩展。&lt;/p&gt;
+&lt;p&gt;如下图所示,用虚线来划分这两部分。HPA 使用 SWCK 适配器来读取 OAP 中的指标。当达到阈值时,HPA 将对 Satellite 部署进行扩展。&lt;/p&gt;
 &lt;p&gt;&lt;img src=&#34;swck-hpa.png&#34; alt=&#34;&#34;&gt;&lt;/p&gt;
 &lt;h2 id=&#34;例子&#34;&gt;例子&lt;/h2&gt;
 &lt;p&gt;在本节中,我们将展示两种情况。&lt;/p&gt;
@@ -168,14 +168,14 @@
 &lt;/ol&gt;
 &lt;p&gt;注意:所有命令都可以通过 &lt;a href=&#34;https://github.com/mrproliu/sw-satellite-demo-scripts/tree/1180c23e8f3bb36778307f9ae15395274ca039b3&#34;&gt;GitHub&lt;/a&gt; 访问。&lt;/p&gt;
 &lt;h3 id=&#34;skywalking-扩展&#34;&gt;SkyWalking 扩展&lt;/h3&gt;
-&lt;p&gt;我们将使用 &lt;a href=&#34;https://istio.io/latest/docs/examples/bookinfo/&#34;&gt;bookinfo 应用程序&lt;/a&gt;演示如何将 Apache SkyWalking 8.9.1 与 Apache SkyWalking-Satellite 0.5.0 + 集成,并通过 Envoy ALS 协议观察服务网格。&lt;/p&gt;
+&lt;p&gt;我们将使用 &lt;a href=&#34;https://istio.io/latest/docs/examples/bookinfo/&#34;&gt;bookinfo 应用程序&lt;/a&gt; 演示如何将 Apache SkyWalking 8.9.1 与 Apache SkyWalking-Satellite 0.5.0 集成,并通过 Envoy ALS 协议观察服务网格。&lt;/p&gt;
 &lt;p&gt;在开始之前,请确保你已经有一个 Kubernetes 环境。&lt;/p&gt;
 &lt;h4 id=&#34;安装-istio&#34;&gt;&lt;strong&gt;安装 Istio&lt;/strong&gt;&lt;/h4&gt;
 &lt;p&gt;Istio 提供了一个非常方便的方法来配置 Envoy 代理并启用访问日志服务。下面的步骤:&lt;/p&gt;
 &lt;ol&gt;
 &lt;li&gt;在本地安装 istioctl 以帮助管理 Istio 服务网格。&lt;/li&gt;
-&lt;li&gt;将 Istio 安装到 Kubernetes 环境中,使用演示配置配置文件,并启用 Envoy ALS。将 ALS 消息传输到 Satellite 上。我们稍后将部署的 Satellite。&lt;/li&gt;
-&lt;li&gt;将标签添加到默认命名空间中,这样 Istio 就可以在你以后部署应用程序时自动注入 Envoy 挎包代理。&lt;/li&gt;
+&lt;li&gt;将 Istio 安装到 Kubernetes 环境中,使用 demo 配置,并启用 Envoy ALS。将 ALS 消息传输到 Satellite 上。我们稍后将部署的 Satellite。&lt;/li&gt;
+&lt;li&gt;将标签添加到默认命名空间中,这样 Istio 就可以在你以后部署应用程序时自动注入 Envoy sidecar 代理。&lt;/li&gt;
 &lt;/ol&gt;
 &lt;div class=&#34;highlight&#34;&gt;&lt;pre style=&#34;background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4&#34;&gt;&lt;code class=&#34;language-sh&#34; data-lang=&#34;sh&#34;&gt;&lt;span style=&#34;color:#998;font-style:italic&#34;&gt;# install istioctl&lt;/span&gt;
 &lt;span style=&#34;color:#0086b3&#34;&gt;export&lt;/span&gt; &lt;span style=&#34;color:#008080&#34;&gt;ISTIO_VERSION&lt;/span&gt;&lt;span style=&#34;color:#000;font-weight:bold&#34;&gt;=&lt;/span&gt;1.12.0
@@ -190,7 +190,7 @@ istioctl install -y --set &lt;span style=&#34;color:#008080&#34;&gt;profile&lt;/
 &lt;span style=&#34;color:#998;font-style:italic&#34;&gt;# enbale envoy proxy in default namespace&lt;/span&gt;
 kubectl label namespace default istio-injection&lt;span style=&#34;color:#000;font-weight:bold&#34;&gt;=&lt;/span&gt;enabled
 &lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;h4 id=&#34;安装-swck&#34;&gt;&lt;strong&gt;安装 SWCK&lt;/strong&gt;&lt;/h4&gt;
-&lt;p&gt;SWCK 为用户部署和升级基于 Kubernetes 的 SkyWalking 相关组件提供了便利。Satellite 的自动扩展功能也主要依赖于 SWCK。更多信息,你可以参考&lt;a href=&#34;https://github.com/apache/skywalking-swck/blob/master/docs/operator.md#guides-of-operator-deployment&#34;&gt;官方文档&lt;/a&gt;。&lt;/p&gt;
+&lt;p&gt;SWCK 为用户部署和升级基于 Kubernetes 的 SkyWalking 相关组件提供了便利。Satellite 的自动扩展功能也主要依赖于 SWCK。更多信息,你可以参考 &lt;a href=&#34;https://github.com/apache/skywalking-swck/blob/master/docs/operator.md#guides-of-operator-deployment&#34;&gt;官方文档&lt;/a&gt; 。&lt;/p&gt;
 &lt;div class=&#34;highlight&#34;&gt;&lt;pre style=&#34;background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4&#34;&gt;&lt;code class=&#34;language-sh&#34; data-lang=&#34;sh&#34;&gt;&lt;span style=&#34;color:#998;font-style:italic&#34;&gt;# Install cert-manager&lt;/span&gt;
 kubectl apply -f https://github.com/jetstack/cert-manager/releases/download/v1.3.1/cert-manager.yaml
 
@@ -213,7 +213,7 @@ kubectl apply -f https://raw.githubusercontent.com/istio/istio/&lt;span style=&#
 kubectl &lt;span style=&#34;color:#0086b3&#34;&gt;wait&lt;/span&gt; --for&lt;span style=&#34;color:#000;font-weight:bold&#34;&gt;=&lt;/span&gt;&lt;span style=&#34;color:#008080&#34;&gt;condition&lt;/span&gt;&lt;span style=&#34;color:#000;font-weight:bold&#34;&gt;=&lt;/span&gt;Ready pods --all --timeout&lt;span style=&#34;color:#000;font-weight:bold&#34;&gt;=&lt;/span&gt;1200s
 kubectl port-forward service/productpage &lt;span style=&#34;color:#099&#34;&gt;9080&lt;/span&gt;
 &lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;p&gt;接下来,请打开你的浏览器并访问 http://localhost:9080。你应该能够看到 Bookinfo 应用程序。多次刷新网页以产生足够的访问日志。&lt;/p&gt;
-&lt;p&gt;然后,你可以在 SkyWalking WebUI 上看到 Bookinfo 应用程序的拓扑结构和指标。这时,你可以看到,Satellite 正在工作。&lt;/p&gt;
+&lt;p&gt;然后,你可以在 SkyWalking WebUI 上看到 Bookinfo 应用程序的拓扑结构和指标。这时你可以看到,Satellite 已经正在工作。&lt;/p&gt;
 &lt;h4 id=&#34;部署监控器&#34;&gt;&lt;strong&gt;部署监控器&lt;/strong&gt;&lt;/h4&gt;
 &lt;p&gt;我们需要安装 OpenTelemetry Collector 来收集 OAP 中的指标并对其进行分析。&lt;/p&gt;
 &lt;div class=&#34;highlight&#34;&gt;&lt;pre style=&#34;background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4&#34;&gt;&lt;code class=&#34;language-sh&#34; data-lang=&#34;sh&#34;&gt;&lt;span style=&#34;color:#998;font-style:italic&#34;&gt;# Add OTEL collector&lt;/span&gt;
@@ -223,7 +223,7 @@ kubectl port-forward -n skywalking-system  service/skywalking-system-ui 8080:80
 &lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;p&gt;接下来,请打开浏览器,访问 http://localhost:8080/,并在仪表板上创建一个新项目。下图中的 SkyWalking Web UI 显示了数据内容的应用方式。&lt;/p&gt;
 &lt;p&gt;&lt;img src=&#34;./mesh-count-conf.png&#34; alt=&#34;&#34;&gt;&lt;/p&gt;
 &lt;h4 id=&#34;扩容-oap&#34;&gt;扩容 OAP&lt;/h4&gt;
-&lt;p&gt;通过部署扩容 OAP 的数量。&lt;/p&gt;
+&lt;p&gt;通过 Deployment,扩容 OAP 的数量。&lt;/p&gt;
 &lt;div class=&#34;highlight&#34;&gt;&lt;pre style=&#34;background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4&#34;&gt;&lt;code class=&#34;language-sh&#34; data-lang=&#34;sh&#34;&gt;kubectl scale --replicas&lt;span style=&#34;color:#000;font-weight:bold&#34;&gt;=&lt;/span&gt;&lt;span style=&#34;color:#099&#34;&gt;3&lt;/span&gt; -n skywalking-system deployment/skywalking-system-oap
 &lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;h4 id=&#34;完成&#34;&gt;完成&lt;/h4&gt;
 &lt;p&gt;一段时间后,你会看到 OAP 的数量变成了 3 个,而且 ALS 的流量被平衡到每个 OAP。&lt;/p&gt;
@@ -231,12 +231,12 @@ kubectl port-forward -n skywalking-system  service/skywalking-system-ui 8080:80
 &lt;h3 id=&#34;扩容-satellite&#34;&gt;扩容 Satellite&lt;/h3&gt;
 &lt;p&gt;在我们完成了 SkyWalking Scaling 之后,我们将进行 Satellite Scaling 演示。&lt;/p&gt;
 &lt;h4 id=&#34;部署-swck-hpa&#34;&gt;&lt;strong&gt;部署 SWCK HPA&lt;/strong&gt;&lt;/h4&gt;
-&lt;p&gt;SWCK 提供了一个适配器来实现 Kubernetes 外部指标,通过读取 SkyWalking OAP 中的指标来适应 HPA。我们将 Satellite 中的度量服务暴露给 OAP,并配置 HPA 资源来自动扩展 Satellite。&lt;/p&gt;
+&lt;p&gt;SWCK 提供了一个适配器来实现 Kubernetes 外部指标监控,通过读取 SkyWalking OAP 中的指标来适应 HPA。我们将 Satellite 中的指标服务暴露给 OAP,并配置 HPA 资源来自动扩展 Satellite。&lt;/p&gt;
 &lt;p&gt;将 SWCK 适配器安装到 Kubernetes 环境中。&lt;/p&gt;
 &lt;div class=&#34;highlight&#34;&gt;&lt;pre style=&#34;background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4&#34;&gt;&lt;code class=&#34;language-sh&#34; data-lang=&#34;sh&#34;&gt;kubectl apply -f skywalking-swck/config/adapter-bundle.yaml
 &lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;p&gt;创建 HPA 资源,并限制每个 Satellite 最多可处理 10 个连接。&lt;/p&gt;
 &lt;div class=&#34;highlight&#34;&gt;&lt;pre style=&#34;background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4&#34;&gt;&lt;code class=&#34;language-sh&#34; data-lang=&#34;sh&#34;&gt;kubectl apply -f https://raw.githubusercontent.com/mrproliu/sw-satellite-demo-scripts/5821a909b647f7c8f99c70378e197630836f45f7/resources/satellite-hpa.yaml
-&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;p&gt;然后,你可以看到我们在一个 Satellite 上有 9 个连接。一个特使代理可能建立多个连接到 Satellite。&lt;/p&gt;
+&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;p&gt;然后,你可以看到我们在一个 Satellite 上有 9 个连接。一个 Envoy 代理可能建立多个连接到 Satellite。&lt;/p&gt;
 &lt;div class=&#34;highlight&#34;&gt;&lt;pre style=&#34;background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4&#34;&gt;&lt;code class=&#34;language-sh&#34; data-lang=&#34;sh&#34;&gt;$ kubectl get HorizontalPodAutoscaler -n skywalking-system
 NAME       REFERENCE                                TARGETS   MINPODS   MAXPODS   REPLICAS   AGE
 hpa-demo   Deployment/skywalking-system-satellite   9/10      &lt;span style=&#34;color:#099&#34;&gt;1&lt;/span&gt;         &lt;span style=&#34;color:#099&#34;&gt;3&lt;/span&gt;         &lt;span style=&#34;color:#099&#34;&gt;1&lt;/span&gt;          5m18s
@@ -244,8 +244,8 @@ hpa-demo   Deployment/skywalking-system-satellite   9/10      &lt;span style=&#3
 &lt;p&gt;扩容应用程序可以建立更多与 Satellite 的连接,以验证 HPA 是否生效。&lt;/p&gt;
 &lt;div class=&#34;highlight&#34;&gt;&lt;pre style=&#34;background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4&#34;&gt;&lt;code class=&#34;language-sh&#34; data-lang=&#34;sh&#34;&gt;kubectl scale --replicas&lt;span style=&#34;color:#000;font-weight:bold&#34;&gt;=&lt;/span&gt;&lt;span style=&#34;color:#099&#34;&gt;3&lt;/span&gt; deployment/productpage-v1 deployment/details-v1
 &lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;h4 id=&#34;完成-1&#34;&gt;完成&lt;/h4&gt;
-&lt;p&gt;默认情况下,Satellite 将部署一个实例,一个实例只能接受 11 个连接。HPA 资源限制一个 Satellite 处理 10 个连接,并使用一个稳定窗口使 Satellite 稳定扩展。在这种情况下,我们在扩展后将 Bookinfo 应用程序部署在 10 多个实例中,这意味着将有 10 多个连接建立到 Satellite 上。&lt;/p&gt;
-&lt;p&gt;所以在 HPA 资源运行后,Satellite 会自动扩展到 2 个实例。你可以通过&lt;a href=&#34;https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/#algorithm-details&#34;&gt;官方文档&lt;/a&gt;了解复制的计算算法。运行下面的命令来查看运行状态。&lt;/p&gt;
+&lt;p&gt;默认情况下,Satellite 将部署一个实例,一个实例只能接受 11 个连接。HPA 资源限制一个 Satellite 处理 10 个连接,并使用稳定窗口使 Satellite 稳定扩展。在这种情况下,我们在扩展后将 Bookinfo 应用程序部署在 10 多个实例中,这意味着将有 10 多个连接建立到 Satellite 上。&lt;/p&gt;
+&lt;p&gt;所以在 HPA 资源运行后,Satellite 会自动扩展到 2 个实例。你可以通过 &lt;a href=&#34;https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/#algorithm-details&#34;&gt;官方文档&lt;/a&gt; 了解扩容/缩容的计算算法。运行下面的命令来查看运行状态。&lt;/p&gt;
 &lt;div class=&#34;highlight&#34;&gt;&lt;pre style=&#34;background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4&#34;&gt;&lt;code class=&#34;language-sh&#34; data-lang=&#34;sh&#34;&gt;$ kubectl get HorizontalPodAutoscaler -n skywalking-system --watch
 NAME       REFERENCE                                TARGETS   MINPODS   MAXPODS   REPLICAS   AGE
 hpa-demo   Deployment/skywalking-system-satellite   11/10     &lt;span style=&#34;color:#099&#34;&gt;1&lt;/span&gt;         &lt;span style=&#34;color:#099&#34;&gt;3&lt;/span&gt;         &lt;span style=&#34;color:#099&#34;&gt;1&lt;/span&gt;          3m31s
@@ -253,7 +253,7 @@ hpa-demo   Deployment/skywalking-system-satellite   11/10     &lt;span style=&#3
 hpa-demo   Deployment/skywalking-system-satellite   11/10     &lt;span style=&#34;color:#099&#34;&gt;1&lt;/span&gt;         &lt;span style=&#34;color:#099&#34;&gt;3&lt;/span&gt;         &lt;span style=&#34;color:#099&#34;&gt;2&lt;/span&gt;          4m38s
 hpa-demo   Deployment/skywalking-system-satellite   11/10     &lt;span style=&#34;color:#099&#34;&gt;1&lt;/span&gt;         &lt;span style=&#34;color:#099&#34;&gt;3&lt;/span&gt;         &lt;span style=&#34;color:#099&#34;&gt;2&lt;/span&gt;          5m8s
 hpa-demo   Deployment/skywalking-system-satellite   6/10      &lt;span style=&#34;color:#099&#34;&gt;1&lt;/span&gt;         &lt;span style=&#34;color:#099&#34;&gt;3&lt;/span&gt;         &lt;span style=&#34;color:#099&#34;&gt;2&lt;/span&gt;          5m23s
-&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;p&gt;通过观察 “连接数 “指标,我们将能够看到,当每个 gRPC 的连接数超过 10 个连接时,那么 Satellite 就会通过 HPA 规则自动进行扩展。结果是,连接数下降到正常状态(在这个例子中,小于 10 个)&lt;/p&gt;
+&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;p&gt;通过观察 “连接数“ 指标,我们将能够看到,当每个 gRPC 的连接数超过 10 个连接时,那么 Satellite 就会通过 HPA 规则自动进行扩展。结果是,连接数下降到正常状态(在这个例子中,小于 10 个)&lt;/p&gt;
 &lt;div class=&#34;highlight&#34;&gt;&lt;pre style=&#34;background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4&#34;&gt;&lt;code class=&#34;language-sh&#34; data-lang=&#34;sh&#34;&gt;swctl metrics linear --name satellite_service_grpc_connect_count --service-name satellite::satellite-service
 &lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;p&gt;&lt;img src=&#34;satellite-connection-metrics.png&#34; alt=&#34;&#34;&gt;&lt;/p&gt;
 
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diff --git a/zh/skywalking-day-2021/index.html b/zh/skywalking-day-2021/index.html
index f511580..b1a92e8 100644
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+<meta property="article:modified_time" content="2022-01-25T12:37:51+08:00" />
 <meta itemprop="name" content="[视频] SkyWalking Day 2021 演讲视频">
 <meta itemprop="description" content="SkyWalking Day 2021 讲师视频,请到 B 站观看。">
 <meta itemprop="datePublished" content="2021-07-06T00:00:00+00:00" />
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diff --git a/zh/whats-new-in-skywalking-metersystem-and-mesh-monitoring-in-8-0/index.html b/zh/whats-new-in-skywalking-metersystem-and-mesh-monitoring-in-8-0/index.html
index ae45d03..4d5c3ae 100644
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index 1e4ea68..6401f31 100644
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index a93bfe0..4a1fd40 100644
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index 07ee554..02d9249 100644
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index f2e078d..2c562a9 100644
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index 1290def..20e31f1 100644
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index c6f52a9..256db53 100644
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index 04a7959..f9892d5 100644
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diff --git "a/zh_tags/\346\200\247\350\203\275/index.html" "b/zh_tags/\346\200\247\350\203\275/index.html"
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@@ -24,7 +24,7 @@
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-<meta property="og:updated_time" content="2022-01-25T11:59:42+08:00" />
+<meta property="og:updated_time" content="2022-01-25T12:37:51+08:00" />
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-                    <h5 class="mt-0 mb-1"><a href="/zh/2022-01-24-scaling-with-apache-skywalking/">SkyWalking 针对gRPC 的负载均衡和自动扩容实践</a></h5>
+                    <h5 class="mt-0 mb-1"><a href="/zh/2022-01-24-scaling-with-apache-skywalking/">SkyWalking 针对 gRPC 的负载均衡和自动扩容实践</a></h5>
                     <p class="mb-2 mb-md-3"><small class="text-muted">Monday, January 24, 2022 in 博客</small>
 
                         
diff --git "a/zh_tags/\346\200\247\350\203\275/index.xml" "b/zh_tags/\346\200\247\350\203\275/index.xml"
index 893239d..8ba603a 100644
--- "a/zh_tags/\346\200\247\350\203\275/index.xml"
+++ "b/zh_tags/\346\200\247\350\203\275/index.xml"
@@ -15,7 +15,7 @@
     
     
     <item>
-      <title>Zh: SkyWalking 针对gRPC 的负载均衡和自动扩容实践</title>
+      <title>Zh: SkyWalking 针对 gRPC 的负载均衡和自动扩容实践</title>
       <link>/zh/2022-01-24-scaling-with-apache-skywalking/</link>
       <pubDate>Mon, 24 Jan 2022 00:00:00 +0000</pubDate>
       
@@ -24,11 +24,11 @@
         
         
         &lt;h2 id=&#34;背景介绍&#34;&gt;背景介绍&lt;/h2&gt;
-&lt;p&gt;在 Apache SkyWalking 生态系统中,OAP 通过 SkyWalking Agent、Envoy 或其他数据源获得度量、追踪、日志和事件数据。在 gRPC 协议下,它通过与单个服务器节点进行通信来传输数据。只有当连接中断时,才会使用基于 DNS 轮流模式的重新连接策略。当新的服务在运行时被添加,或者由于观察到的服务的流量增加而使 OAP 负载保持高位时,OAP 集群需要为增加的流量进行扩容。由于所有现有的代理已经连接到以前的节点,新的 OAP 节点的负载会比较小。即使没有扩展,OAP 节点的负载也会不平衡,因为代理会由于启动阶段的随机策略而保持连接。在这些情况下,保持所有节点的健康状态,还能在需要时进行扩展,将成为一个挑战。&lt;/p&gt;
+&lt;p&gt;在 Apache SkyWalking 生态系统中,OAP 通过 SkyWalking Agent、Envoy 或其他数据源获得指标、追踪、日志和事件数据。在 gRPC 协议下,它通过与单个服务器节点进行通信来传输数据。只有当连接中断时,才会使用基于 DNS 轮流模式的重新连接策略。当新的服务在运行时被添加,或者由于观察到的服务的流量增加而使 OAP 负载保持高位时,OAP 集群需要为增加的流量进行扩容。由于所有现有的代理已经连接到以前的节点,新的 OAP 节点的负载会比较小。即使没有扩展,OAP 节点的负载也会不平衡,因为代理会由于启动阶段的随机策略而保持连接。在这些情况下,保持所有节点的健康状态,还能在需要时进行扩展,将成为一个挑战。&lt;/p&gt;
 &lt;p&gt;在这篇文章中,我们主要讨论如何解决 SkyWalking 中的这一挑战。&lt;/p&gt;
 &lt;h2 id=&#34;如何实现负载均衡&#34;&gt;如何实现负载均衡&lt;/h2&gt;
 &lt;p&gt;SkyWalking 主要使用 gRPC 协议进行数据传输,所以本文主要介绍 gRPC 协议中的负载均衡。&lt;/p&gt;
-&lt;h3 id=&#34;代理人或客户端&#34;&gt;代理人或客户端&lt;/h3&gt;
+&lt;h3 id=&#34;代理或客户端&#34;&gt;代理或客户端&lt;/h3&gt;
 &lt;p&gt;根据 &lt;a href=&#34;https://grpc.io/blog/grpc-load-balancing/&#34;&gt;gRPC 官方负载均衡博客&lt;/a&gt;,有两种负载均衡的方法。&lt;/p&gt;
 &lt;ol&gt;
 &lt;li&gt;&lt;strong&gt;客户端&lt;/strong&gt;。客户端感知到多个后端服务,并使用负载均衡算法为每个 RPC 选择一个后端服务。&lt;/li&gt;
@@ -47,7 +47,7 @@
 &lt;tr&gt;
 &lt;td&gt;客户端&lt;/td&gt;
 &lt;td&gt;由于消除了额外的跳跃,所以性能很高&lt;/td&gt;
-&lt;td&gt;复杂的客户端(集群感知、负载均衡、健康检查等)确保每个要连接的数据源提供复杂的客户端功能&lt;/td&gt;
+&lt;td&gt;复杂的客户端(集群感知、负载均衡、健康检查等);确保每个要连接的数据源提供复杂的客户端功能&lt;/td&gt;
 &lt;/tr&gt;
 &lt;tr&gt;
 &lt;td&gt;代理&lt;/td&gt;
@@ -58,29 +58,29 @@
 &lt;/table&gt;
 &lt;p&gt;我们选择代理模式是出于以下原因:&lt;/p&gt;
 &lt;ol&gt;
-&lt;li&gt;可观察的数据对时间不是很敏感,传输造成的一点延迟是可以接受的。多跳一点是可以接受的,对客户端没有影响。&lt;/li&gt;
+&lt;li&gt;可观察的数据对时间不是很敏感,传输造成的一点延迟是可以接受的。多一层跳跃是可以接受的,对客户端没有影响。&lt;/li&gt;
 &lt;li&gt;作为一个观察性平台,我们不能 / 不应该要求改变客户端。他们做出自己的技术决定,并可能有自己的商业考虑。&lt;/li&gt;
 &lt;/ol&gt;
-&lt;h3 id=&#34;传输政策&#34;&gt;传输政策&lt;/h3&gt;
+&lt;h3 id=&#34;传输策略&#34;&gt;传输策略&lt;/h3&gt;
 &lt;p&gt;在代理模式下,我们应该确定下行和上行之间的传输路径。&lt;/p&gt;
 &lt;p&gt;不同的数据协议需要不同的处理策略。有两种传输政策:&lt;/p&gt;
 &lt;ol&gt;
 &lt;li&gt;&lt;strong&gt;同步&lt;/strong&gt;:适用于需要在客户端交换数据的协议,如 SkyWalking 动态配置服务。这种类型的协议提供实时结果。&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;异步批处理&lt;/strong&gt;:当客户端不关心上游的处理结果,而只关心传输的数据(如追踪报告、日志报告等)时使用。&lt;/li&gt;
 &lt;/ol&gt;
-&lt;p&gt;同步策略要求代理在收到客户端消息时向上游服务器发送消息,并同步返回响应数据给下游客户端。通常情况下,只有少数协议需要使用同步策略。&lt;/p&gt;
-&lt;p&gt;如下图所示,在客户端向代理发送请求后,代理将同步向服务器发送消息。当代理机构收到结果后,会返回给客户端。&lt;/p&gt;
+&lt;p&gt;同步策略要求代理在收到客户端消息时,同时向上游服务器发送消息,并同步返回响应数据给下游客户端。通常情况下,只有少数协议需要使用同步策略。&lt;/p&gt;
+&lt;p&gt;如下图所示,在客户端向代理发送请求后,代理将同步向服务器发送消息。当代理收到结果后,会返回给客户端。&lt;/p&gt;
 &lt;p&gt;&lt;img src=&#34;./transmission-policy-synchronous.png&#34; alt=&#34;&#34;&gt;&lt;/p&gt;
 &lt;p&gt;异步批处理策略意味着数据被异步地分批发送到上游服务器。这种策略比较常见,因为 SkyWalking 中的大多数协议主要是基于数据报告的。我们认为将队列作为一个缓冲区可以起到很好的效果。异步批处理策略是按照以下步骤执行的:&lt;/p&gt;
 &lt;ol&gt;
 &lt;li&gt;代理接收数据并将其包装成一个事件对象。&lt;/li&gt;
 &lt;li&gt;一个事件被添加到队列中。&lt;/li&gt;
-&lt;li&gt;当达到循环时间或队列元素达到固定数量时,队列中的元素将被并行消耗并发送至 OAP。&lt;/li&gt;
+&lt;li&gt;当达到一定间隔时间或队列元素达到固定数量时,队列中的元素将被并行消费并发送至 OAP。&lt;/li&gt;
 &lt;/ol&gt;
 &lt;p&gt;使用队列的好处是:&lt;/p&gt;
 &lt;ol&gt;
 &lt;li&gt;将数据接收和发送分开,以减少相互影响。&lt;/li&gt;
-&lt;li&gt;区间量化机制可用于组合事件,这有助于加快向 OAP 发送事件的速度。&lt;/li&gt;
+&lt;li&gt;间隔时间和固定元素数机制可以很好的将事件合并,这有助于加快向 OAP 发送事件的速度。&lt;/li&gt;
 &lt;li&gt;使用多线程的消费队列事件可以更充分地利用网络 IO。&lt;/li&gt;
 &lt;/ol&gt;
 &lt;p&gt;如下图所示,在代理收到消息后,代理将把消息包装成一个事件并推送到队列中。消息发送者将从队列中获取批量事件,并将其发送给上游的 OAP。&lt;/p&gt;
@@ -89,9 +89,9 @@
 &lt;p&gt;路由算法被用来将消息路由到单一的上游服务器节点。&lt;/p&gt;
 &lt;p&gt;Round-Robin 算法从上游服务节点的列表中按顺序选择节点。这种算法的优点是,每个节点被选择的次数是平均的。当数据的大小接近时,每个上游节点可以处理相同数量的数据内容。&lt;/p&gt;
 &lt;p&gt;&lt;img src=&#34;./routing-round-robin.png&#34; alt=&#34;&#34;&gt;&lt;/p&gt;
-&lt;p&gt;在 Weight Round-Robin 中,每个上游服务器节点都有一个相应的路由权重比。与Round-Robin 不同的是,每个上游节点根据其权重有更多机会被路由。这种算法更适合在上游服务器节点机器配置不同时使用。&lt;/p&gt;
+&lt;p&gt;在 Weight Round-Robin 中,每个上游服务器节点都有一个相应的路由权重比。与 Round-Robin 不同的是,每个上游节点根据其权重设置,有更多机会被路由。这种算法更适合在上游服务器节点机器配置不同时使用。&lt;/p&gt;
 &lt;p&gt;&lt;img src=&#34;./routing-weight-round-robin.png&#34; alt=&#34;&#34;&gt;&lt;/p&gt;
-&lt;p&gt;Fixed 算法是一种混合算法。它可以保证相同的数据被路由到同一个上游服务器节点,当上游服务器规模缩小时,它仍然保持对同一节点的路由;除非上游节点不存在,否则它将重新路由。这种算法主要用于 SkyWalking Meter 协议,因为该协议需要确保同一服务实例的指标被发送到同一 OAP 节点。路由步骤如下:&lt;/p&gt;
+&lt;p&gt;Fixed 算法是一种混合算法。它可以保证相同的数据被路由到同一个上游服务器节点,当上游服务器规模扩大或缩小时,它仍然保持对同一节点的路由;除非上游节点不存在,否则它将重新路由。这种算法主要用于 SkyWalking Meter 协议,因为该协议需要确保同一服务实例的指标被发送到同一 OAP 节点。路由步骤如下:&lt;/p&gt;
 &lt;ol&gt;
 &lt;li&gt;根据数据内容生成一个独特的识别字符串,越短越好。数据量是可控的。&lt;/li&gt;
 &lt;li&gt;从 LRU Cache 中获取身份的上游节点,如果存在就使用它。&lt;/li&gt;
@@ -107,14 +107,14 @@
 &lt;p&gt;&lt;img src=&#34;./routing-fixed.png&#34; alt=&#34;&#34;&gt;&lt;/p&gt;
 &lt;p&gt;我们选择使用 Round-Robin 和 Fixed 算法的组合进行路由。&lt;/p&gt;
 &lt;ol&gt;
-&lt;li&gt;Fixed 路由算法适用于特定的协议,主要在向 SkyWalking Meter 协议传递度量数据时使用。&lt;/li&gt;
+&lt;li&gt;Fixed 路由算法适用于特定的协议,主要在向 SkyWalking Meter 协议传递指标数据时使用。&lt;/li&gt;
 &lt;li&gt;默认使用 Round-Robin 算法。当 SkyWalking OAP 集群被部署时,节点的配置需要尽可能的相同,所以就没有必要使用 Weight Round-Robin 算法。&lt;/li&gt;
 &lt;/ol&gt;
 &lt;h2 id=&#34;如何平衡负载均衡器本身&#34;&gt;如何平衡负载均衡器本身?&lt;/h2&gt;
 &lt;p&gt;Proxy 仍然需要处理从客户端到自身的负载均衡问题,特别是在生产环境中部署 Proxy 集群时。&lt;/p&gt;
 &lt;p&gt;有三种方法来解决这个问题:&lt;/p&gt;
 &lt;ol&gt;
-&lt;li&gt;&lt;strong&gt;连接管理&lt;/strong&gt;:在客户端使用 max_connection * 配置来指定每个连接的最大连接时间。欲了解更多信息,请阅读提案。&lt;/li&gt;
+&lt;li&gt;&lt;strong&gt;连接管理&lt;/strong&gt;:在客户端使用 &lt;code&gt;max_connection&lt;/code&gt; 配置来指定每个连接的最大连接时间。欲了解更多信息,请阅读&lt;a href=&#34;https://github.com/grpc/proposal/blob/master/A9-server-side-conn-mgt.md&#34;&gt;提案&lt;/a&gt;。&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;集群感知&lt;/strong&gt;:代理有集群感知,当负载不均衡时,主动断开连接,让客户端重新接上代理。&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;资源限制 + HPA&lt;/strong&gt;:限制每个代理的连接资源情况,达到资源限制时不再接受新连接。并利用 Kubernetes 的 HPA 机制来动态扩展代理的数量。&lt;/li&gt;
 &lt;/ol&gt;
@@ -142,7 +142,7 @@
 &lt;/tr&gt;
 &lt;/tbody&gt;
 &lt;/table&gt;
-&lt;p&gt;我们选择 Limit+HPA 是出于这些原因:&lt;/p&gt;
+&lt;p&gt;我们选择 资源限制+HPA 是出于这些原因:&lt;/p&gt;
 &lt;ol&gt;
 &lt;li&gt;易于配置和使用代理,根据基本的数据指标,容易理解。&lt;/li&gt;
 &lt;li&gt;没有因连接中断而导致的数据丢失。客户端不需要实施任何其他协议来防止数据丢失,特别是当客户端是一个商业产品时。&lt;/li&gt;
@@ -151,15 +151,15 @@
 &lt;h2 id=&#34;skywalking-satellite&#34;&gt;SkyWalking-Satellite&lt;/h2&gt;
 &lt;p&gt;我们已经在 &lt;a href=&#34;https://github.com/apache/skywalking-satellite&#34;&gt;SkyWalking-Satellite&lt;/a&gt; 项目中实现了这个代理。它被用于客户端和 SkyWalking OAP 之间,有效地解决了负载均衡问题。&lt;/p&gt;
 &lt;p&gt;系统部署后,Satellite 会接受来自客户端的流量,Satellite 会通过 Kubernetes 标签选择器或手动配置感知 OAP 的所有节点,并将流量负载均衡到上游的 OAP 节点。&lt;/p&gt;
-&lt;p&gt;如下图所示,单个客户仍与单个 Satellite 保持连接,Satellite 将与每个 OAP 建立连接,并向 OAP 节点发送负载均衡信息。&lt;/p&gt;
+&lt;p&gt;如下图所示,单个客户端仍与单个 Satellite 保持连接,Satellite 将与每个 OAP 建立连接,并将消息负载均衡的发向 OAP 节点。&lt;/p&gt;
 &lt;p&gt;&lt;img src=&#34;./skywalking-satellites.png&#34; alt=&#34;&#34;&gt;&lt;/p&gt;
 &lt;p&gt;在扩展 Satellite 时,我们需要在 Kubernetes 中部署 &lt;a href=&#34;https://github.com/apache/skywalking-swck&#34;&gt;SWCK&lt;/a&gt; 适配器并配置 HPA。SWCK 是 SkyWalking 用户的平台,提供、升级、维护 SkyWalking 的相关组件,并使其在 Kubernetes 上原生工作。&lt;/p&gt;
 &lt;p&gt;部署完成后,将进行以下步骤:&lt;/p&gt;
 &lt;ol&gt;
-&lt;li&gt;从 OAP 中读取度量。HPA 要求 SWCK 指标适配器动态地读取 OAP 中的指标。&lt;/li&gt;
-&lt;li&gt;扩大 Satellite 的规模。Kubernetes HPA 感觉到指标值符合预期,所以 Satellite 会自动进行扩展。&lt;/li&gt;
+&lt;li&gt;从 OAP 中读取指标。HPA 要求 SWCK 指标适配器动态地读取 OAP 中的指标。&lt;/li&gt;
+&lt;li&gt;扩大 Satellite 的规模。当 Kubernetes HPA 感知到指标值符合预期,Satellite 便会自动进行扩展。&lt;/li&gt;
 &lt;/ol&gt;
-&lt;p&gt;如下图所示,用虚线来划分这两部分。HPA 使用 SWCK 适配器来读取 OAP 中的度量。当达到阈值时,HPA 将对 Satellite 部署进行扩展。&lt;/p&gt;
+&lt;p&gt;如下图所示,用虚线来划分这两部分。HPA 使用 SWCK 适配器来读取 OAP 中的指标。当达到阈值时,HPA 将对 Satellite 部署进行扩展。&lt;/p&gt;
 &lt;p&gt;&lt;img src=&#34;swck-hpa.png&#34; alt=&#34;&#34;&gt;&lt;/p&gt;
 &lt;h2 id=&#34;例子&#34;&gt;例子&lt;/h2&gt;
 &lt;p&gt;在本节中,我们将展示两种情况。&lt;/p&gt;
@@ -169,14 +169,14 @@
 &lt;/ol&gt;
 &lt;p&gt;注意:所有命令都可以通过 &lt;a href=&#34;https://github.com/mrproliu/sw-satellite-demo-scripts/tree/1180c23e8f3bb36778307f9ae15395274ca039b3&#34;&gt;GitHub&lt;/a&gt; 访问。&lt;/p&gt;
 &lt;h3 id=&#34;skywalking-扩展&#34;&gt;SkyWalking 扩展&lt;/h3&gt;
-&lt;p&gt;我们将使用 &lt;a href=&#34;https://istio.io/latest/docs/examples/bookinfo/&#34;&gt;bookinfo 应用程序&lt;/a&gt;演示如何将 Apache SkyWalking 8.9.1 与 Apache SkyWalking-Satellite 0.5.0 + 集成,并通过 Envoy ALS 协议观察服务网格。&lt;/p&gt;
+&lt;p&gt;我们将使用 &lt;a href=&#34;https://istio.io/latest/docs/examples/bookinfo/&#34;&gt;bookinfo 应用程序&lt;/a&gt; 演示如何将 Apache SkyWalking 8.9.1 与 Apache SkyWalking-Satellite 0.5.0 集成,并通过 Envoy ALS 协议观察服务网格。&lt;/p&gt;
 &lt;p&gt;在开始之前,请确保你已经有一个 Kubernetes 环境。&lt;/p&gt;
 &lt;h4 id=&#34;安装-istio&#34;&gt;&lt;strong&gt;安装 Istio&lt;/strong&gt;&lt;/h4&gt;
 &lt;p&gt;Istio 提供了一个非常方便的方法来配置 Envoy 代理并启用访问日志服务。下面的步骤:&lt;/p&gt;
 &lt;ol&gt;
 &lt;li&gt;在本地安装 istioctl 以帮助管理 Istio 服务网格。&lt;/li&gt;
-&lt;li&gt;将 Istio 安装到 Kubernetes 环境中,使用演示配置配置文件,并启用 Envoy ALS。将 ALS 消息传输到 Satellite 上。我们稍后将部署的 Satellite。&lt;/li&gt;
-&lt;li&gt;将标签添加到默认命名空间中,这样 Istio 就可以在你以后部署应用程序时自动注入 Envoy 挎包代理。&lt;/li&gt;
+&lt;li&gt;将 Istio 安装到 Kubernetes 环境中,使用 demo 配置,并启用 Envoy ALS。将 ALS 消息传输到 Satellite 上。我们稍后将部署的 Satellite。&lt;/li&gt;
+&lt;li&gt;将标签添加到默认命名空间中,这样 Istio 就可以在你以后部署应用程序时自动注入 Envoy sidecar 代理。&lt;/li&gt;
 &lt;/ol&gt;
 &lt;div class=&#34;highlight&#34;&gt;&lt;pre style=&#34;background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4&#34;&gt;&lt;code class=&#34;language-sh&#34; data-lang=&#34;sh&#34;&gt;&lt;span style=&#34;color:#998;font-style:italic&#34;&gt;# install istioctl&lt;/span&gt;
 &lt;span style=&#34;color:#0086b3&#34;&gt;export&lt;/span&gt; &lt;span style=&#34;color:#008080&#34;&gt;ISTIO_VERSION&lt;/span&gt;&lt;span style=&#34;color:#000;font-weight:bold&#34;&gt;=&lt;/span&gt;1.12.0
@@ -191,7 +191,7 @@ istioctl install -y --set &lt;span style=&#34;color:#008080&#34;&gt;profile&lt;/
 &lt;span style=&#34;color:#998;font-style:italic&#34;&gt;# enbale envoy proxy in default namespace&lt;/span&gt;
 kubectl label namespace default istio-injection&lt;span style=&#34;color:#000;font-weight:bold&#34;&gt;=&lt;/span&gt;enabled
 &lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;h4 id=&#34;安装-swck&#34;&gt;&lt;strong&gt;安装 SWCK&lt;/strong&gt;&lt;/h4&gt;
-&lt;p&gt;SWCK 为用户部署和升级基于 Kubernetes 的 SkyWalking 相关组件提供了便利。Satellite 的自动扩展功能也主要依赖于 SWCK。更多信息,你可以参考&lt;a href=&#34;https://github.com/apache/skywalking-swck/blob/master/docs/operator.md#guides-of-operator-deployment&#34;&gt;官方文档&lt;/a&gt;。&lt;/p&gt;
+&lt;p&gt;SWCK 为用户部署和升级基于 Kubernetes 的 SkyWalking 相关组件提供了便利。Satellite 的自动扩展功能也主要依赖于 SWCK。更多信息,你可以参考 &lt;a href=&#34;https://github.com/apache/skywalking-swck/blob/master/docs/operator.md#guides-of-operator-deployment&#34;&gt;官方文档&lt;/a&gt; 。&lt;/p&gt;
 &lt;div class=&#34;highlight&#34;&gt;&lt;pre style=&#34;background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4&#34;&gt;&lt;code class=&#34;language-sh&#34; data-lang=&#34;sh&#34;&gt;&lt;span style=&#34;color:#998;font-style:italic&#34;&gt;# Install cert-manager&lt;/span&gt;
 kubectl apply -f https://github.com/jetstack/cert-manager/releases/download/v1.3.1/cert-manager.yaml
 
@@ -214,7 +214,7 @@ kubectl apply -f https://raw.githubusercontent.com/istio/istio/&lt;span style=&#
 kubectl &lt;span style=&#34;color:#0086b3&#34;&gt;wait&lt;/span&gt; --for&lt;span style=&#34;color:#000;font-weight:bold&#34;&gt;=&lt;/span&gt;&lt;span style=&#34;color:#008080&#34;&gt;condition&lt;/span&gt;&lt;span style=&#34;color:#000;font-weight:bold&#34;&gt;=&lt;/span&gt;Ready pods --all --timeout&lt;span style=&#34;color:#000;font-weight:bold&#34;&gt;=&lt;/span&gt;1200s
 kubectl port-forward service/productpage &lt;span style=&#34;color:#099&#34;&gt;9080&lt;/span&gt;
 &lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;p&gt;接下来,请打开你的浏览器并访问 http://localhost:9080。你应该能够看到 Bookinfo 应用程序。多次刷新网页以产生足够的访问日志。&lt;/p&gt;
-&lt;p&gt;然后,你可以在 SkyWalking WebUI 上看到 Bookinfo 应用程序的拓扑结构和指标。这时,你可以看到,Satellite 正在工作。&lt;/p&gt;
+&lt;p&gt;然后,你可以在 SkyWalking WebUI 上看到 Bookinfo 应用程序的拓扑结构和指标。这时你可以看到,Satellite 已经正在工作。&lt;/p&gt;
 &lt;h4 id=&#34;部署监控器&#34;&gt;&lt;strong&gt;部署监控器&lt;/strong&gt;&lt;/h4&gt;
 &lt;p&gt;我们需要安装 OpenTelemetry Collector 来收集 OAP 中的指标并对其进行分析。&lt;/p&gt;
 &lt;div class=&#34;highlight&#34;&gt;&lt;pre style=&#34;background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4&#34;&gt;&lt;code class=&#34;language-sh&#34; data-lang=&#34;sh&#34;&gt;&lt;span style=&#34;color:#998;font-style:italic&#34;&gt;# Add OTEL collector&lt;/span&gt;
@@ -224,7 +224,7 @@ kubectl port-forward -n skywalking-system  service/skywalking-system-ui 8080:80
 &lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;p&gt;接下来,请打开浏览器,访问 http://localhost:8080/,并在仪表板上创建一个新项目。下图中的 SkyWalking Web UI 显示了数据内容的应用方式。&lt;/p&gt;
 &lt;p&gt;&lt;img src=&#34;./mesh-count-conf.png&#34; alt=&#34;&#34;&gt;&lt;/p&gt;
 &lt;h4 id=&#34;扩容-oap&#34;&gt;扩容 OAP&lt;/h4&gt;
-&lt;p&gt;通过部署扩容 OAP 的数量。&lt;/p&gt;
+&lt;p&gt;通过 Deployment,扩容 OAP 的数量。&lt;/p&gt;
 &lt;div class=&#34;highlight&#34;&gt;&lt;pre style=&#34;background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4&#34;&gt;&lt;code class=&#34;language-sh&#34; data-lang=&#34;sh&#34;&gt;kubectl scale --replicas&lt;span style=&#34;color:#000;font-weight:bold&#34;&gt;=&lt;/span&gt;&lt;span style=&#34;color:#099&#34;&gt;3&lt;/span&gt; -n skywalking-system deployment/skywalking-system-oap
 &lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;h4 id=&#34;完成&#34;&gt;完成&lt;/h4&gt;
 &lt;p&gt;一段时间后,你会看到 OAP 的数量变成了 3 个,而且 ALS 的流量被平衡到每个 OAP。&lt;/p&gt;
@@ -232,12 +232,12 @@ kubectl port-forward -n skywalking-system  service/skywalking-system-ui 8080:80
 &lt;h3 id=&#34;扩容-satellite&#34;&gt;扩容 Satellite&lt;/h3&gt;
 &lt;p&gt;在我们完成了 SkyWalking Scaling 之后,我们将进行 Satellite Scaling 演示。&lt;/p&gt;
 &lt;h4 id=&#34;部署-swck-hpa&#34;&gt;&lt;strong&gt;部署 SWCK HPA&lt;/strong&gt;&lt;/h4&gt;
-&lt;p&gt;SWCK 提供了一个适配器来实现 Kubernetes 外部指标,通过读取 SkyWalking OAP 中的指标来适应 HPA。我们将 Satellite 中的度量服务暴露给 OAP,并配置 HPA 资源来自动扩展 Satellite。&lt;/p&gt;
+&lt;p&gt;SWCK 提供了一个适配器来实现 Kubernetes 外部指标监控,通过读取 SkyWalking OAP 中的指标来适应 HPA。我们将 Satellite 中的指标服务暴露给 OAP,并配置 HPA 资源来自动扩展 Satellite。&lt;/p&gt;
 &lt;p&gt;将 SWCK 适配器安装到 Kubernetes 环境中。&lt;/p&gt;
 &lt;div class=&#34;highlight&#34;&gt;&lt;pre style=&#34;background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4&#34;&gt;&lt;code class=&#34;language-sh&#34; data-lang=&#34;sh&#34;&gt;kubectl apply -f skywalking-swck/config/adapter-bundle.yaml
 &lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;p&gt;创建 HPA 资源,并限制每个 Satellite 最多可处理 10 个连接。&lt;/p&gt;
 &lt;div class=&#34;highlight&#34;&gt;&lt;pre style=&#34;background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4&#34;&gt;&lt;code class=&#34;language-sh&#34; data-lang=&#34;sh&#34;&gt;kubectl apply -f https://raw.githubusercontent.com/mrproliu/sw-satellite-demo-scripts/5821a909b647f7c8f99c70378e197630836f45f7/resources/satellite-hpa.yaml
-&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;p&gt;然后,你可以看到我们在一个 Satellite 上有 9 个连接。一个特使代理可能建立多个连接到 Satellite。&lt;/p&gt;
+&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;p&gt;然后,你可以看到我们在一个 Satellite 上有 9 个连接。一个 Envoy 代理可能建立多个连接到 Satellite。&lt;/p&gt;
 &lt;div class=&#34;highlight&#34;&gt;&lt;pre style=&#34;background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4&#34;&gt;&lt;code class=&#34;language-sh&#34; data-lang=&#34;sh&#34;&gt;$ kubectl get HorizontalPodAutoscaler -n skywalking-system
 NAME       REFERENCE                                TARGETS   MINPODS   MAXPODS   REPLICAS   AGE
 hpa-demo   Deployment/skywalking-system-satellite   9/10      &lt;span style=&#34;color:#099&#34;&gt;1&lt;/span&gt;         &lt;span style=&#34;color:#099&#34;&gt;3&lt;/span&gt;         &lt;span style=&#34;color:#099&#34;&gt;1&lt;/span&gt;          5m18s
@@ -245,8 +245,8 @@ hpa-demo   Deployment/skywalking-system-satellite   9/10      &lt;span style=&#3
 &lt;p&gt;扩容应用程序可以建立更多与 Satellite 的连接,以验证 HPA 是否生效。&lt;/p&gt;
 &lt;div class=&#34;highlight&#34;&gt;&lt;pre style=&#34;background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4&#34;&gt;&lt;code class=&#34;language-sh&#34; data-lang=&#34;sh&#34;&gt;kubectl scale --replicas&lt;span style=&#34;color:#000;font-weight:bold&#34;&gt;=&lt;/span&gt;&lt;span style=&#34;color:#099&#34;&gt;3&lt;/span&gt; deployment/productpage-v1 deployment/details-v1
 &lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;h4 id=&#34;完成-1&#34;&gt;完成&lt;/h4&gt;
-&lt;p&gt;默认情况下,Satellite 将部署一个实例,一个实例只能接受 11 个连接。HPA 资源限制一个 Satellite 处理 10 个连接,并使用一个稳定窗口使 Satellite 稳定扩展。在这种情况下,我们在扩展后将 Bookinfo 应用程序部署在 10 多个实例中,这意味着将有 10 多个连接建立到 Satellite 上。&lt;/p&gt;
-&lt;p&gt;所以在 HPA 资源运行后,Satellite 会自动扩展到 2 个实例。你可以通过&lt;a href=&#34;https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/#algorithm-details&#34;&gt;官方文档&lt;/a&gt;了解复制的计算算法。运行下面的命令来查看运行状态。&lt;/p&gt;
+&lt;p&gt;默认情况下,Satellite 将部署一个实例,一个实例只能接受 11 个连接。HPA 资源限制一个 Satellite 处理 10 个连接,并使用稳定窗口使 Satellite 稳定扩展。在这种情况下,我们在扩展后将 Bookinfo 应用程序部署在 10 多个实例中,这意味着将有 10 多个连接建立到 Satellite 上。&lt;/p&gt;
+&lt;p&gt;所以在 HPA 资源运行后,Satellite 会自动扩展到 2 个实例。你可以通过 &lt;a href=&#34;https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/#algorithm-details&#34;&gt;官方文档&lt;/a&gt; 了解扩容/缩容的计算算法。运行下面的命令来查看运行状态。&lt;/p&gt;
 &lt;div class=&#34;highlight&#34;&gt;&lt;pre style=&#34;background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4&#34;&gt;&lt;code class=&#34;language-sh&#34; data-lang=&#34;sh&#34;&gt;$ kubectl get HorizontalPodAutoscaler -n skywalking-system --watch
 NAME       REFERENCE                                TARGETS   MINPODS   MAXPODS   REPLICAS   AGE
 hpa-demo   Deployment/skywalking-system-satellite   11/10     &lt;span style=&#34;color:#099&#34;&gt;1&lt;/span&gt;         &lt;span style=&#34;color:#099&#34;&gt;3&lt;/span&gt;         &lt;span style=&#34;color:#099&#34;&gt;1&lt;/span&gt;          3m31s
@@ -254,7 +254,7 @@ hpa-demo   Deployment/skywalking-system-satellite   11/10     &lt;span style=&#3
 hpa-demo   Deployment/skywalking-system-satellite   11/10     &lt;span style=&#34;color:#099&#34;&gt;1&lt;/span&gt;         &lt;span style=&#34;color:#099&#34;&gt;3&lt;/span&gt;         &lt;span style=&#34;color:#099&#34;&gt;2&lt;/span&gt;          4m38s
 hpa-demo   Deployment/skywalking-system-satellite   11/10     &lt;span style=&#34;color:#099&#34;&gt;1&lt;/span&gt;         &lt;span style=&#34;color:#099&#34;&gt;3&lt;/span&gt;         &lt;span style=&#34;color:#099&#34;&gt;2&lt;/span&gt;          5m8s
 hpa-demo   Deployment/skywalking-system-satellite   6/10      &lt;span style=&#34;color:#099&#34;&gt;1&lt;/span&gt;         &lt;span style=&#34;color:#099&#34;&gt;3&lt;/span&gt;         &lt;span style=&#34;color:#099&#34;&gt;2&lt;/span&gt;          5m23s
-&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;p&gt;通过观察 “连接数 “指标,我们将能够看到,当每个 gRPC 的连接数超过 10 个连接时,那么 Satellite 就会通过 HPA 规则自动进行扩展。结果是,连接数下降到正常状态(在这个例子中,小于 10 个)&lt;/p&gt;
+&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;p&gt;通过观察 “连接数“ 指标,我们将能够看到,当每个 gRPC 的连接数超过 10 个连接时,那么 Satellite 就会通过 HPA 规则自动进行扩展。结果是,连接数下降到正常状态(在这个例子中,小于 10 个)&lt;/p&gt;
 &lt;div class=&#34;highlight&#34;&gt;&lt;pre style=&#34;background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4&#34;&gt;&lt;code class=&#34;language-sh&#34; data-lang=&#34;sh&#34;&gt;swctl metrics linear --name satellite_service_grpc_connect_count --service-name satellite::satellite-service
 &lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;p&gt;&lt;img src=&#34;satellite-connection-metrics.png&#34; alt=&#34;&#34;&gt;&lt;/p&gt;