Modified: helix/site-content/1.0.2-docs/tutorial_cloud_support.html
URL: 
http://svn.apache.org/viewvc/helix/site-content/1.0.2-docs/tutorial_cloud_support.html?rev=1900184&r1=1900183&r2=1900184&view=diff
==============================================================================
--- helix/site-content/1.0.2-docs/tutorial_cloud_support.html (original)
+++ helix/site-content/1.0.2-docs/tutorial_cloud_support.html Sat Apr 23 
04:22:15 2022
@@ -1,200 +1,380 @@
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+
+<section>
+<h2><a name="Helix_Tutorial:_Cloud_Support"></a><a 
href="./Tutorial.html">Helix Tutorial</a>: Cloud Support</h2>
+<p>There are emerging cases to use Helix in a cloud environment, especially in 
those well-known public cloud, e.g. Azure, AWS, GCP, etc. Compared to previous 
on premise use cases, Helix has faced both challenges and opportunities in 
providing cloud related support.</p>
+<p>As a first step, Helix implemented the support for participant auto 
registration in a cloud environment, which leverages the common feature of 
public cloud and facilitates Helix users when they need to create a cluster and 
register the participants to the cluster.</p>
+<p>After a Helix cluster is created, there are two ways to add instances (or 
participants, we will use them interchangeably in this tutorial) to the 
cluster. One is manual add, where users call their own scripts to add instance 
config to the cluster for each participant; and the other is auto join, where 
users set the auto join config of the cluster to be true, and each participant 
populates its own hostname, port number, and other information in instance 
config during connection. However, in an on premise environment, the auto join 
only works perfectly when users use Helix in a non rack-aware environment, 
meaning there is no fault domain concept. For a rack-aware environment, users 
still need to manually input the domain information to the instance config as 
it is hard for each participant to get its own fault domain information. 
Considering most users would use Helix in a rack-aware environment, it means 
manual work is still required.</p>
+<p>In a cloud environment, there is a good opportunity to achieve full 
automation as public cloud providers give domain information to each individual 
instance through a metadata endpoint. All of the above mentioned public cloud 
providers use a unique non-routable IP address (169.254.169.254) for this 
purpose. It can be accessed only from within the instance to retrieve the 
instance metadata information, which you can use to configure or manage the 
running instance.</p>
+<p>More specifically, in AWS, Azure, and GCP, the query to the fixed IP 
address  <a class="externalLink" 
href="http://169.254.169.254/";>http://169.254.169.254/</a> inside each instance 
will return its metadata information that contains domain information. In AWS, 
the field is named as &#x201c;placement&#x201d;; in Azure, the field is named 
as &#x201c;PlatformUpdateDomain&#x201d;; and in GCP, the field is named as 
&#x201c;zone&#x201d;. It is usually just an integer denoting which fault domain 
the instance belongs to. This particular feature of public cloud is leveraged 
by Helix in cluster creation and partition registration process.</p><section>
+<h3><a name="What_Helix_Provides_for_Cloud_Environment"></a>What Helix 
Provides for Cloud Environment</h3>
+<ul>
+
+<li>Provide definition of Helix cloud configs at cluster level and participant 
level</li>
+<li>Provide enhanced REST and Java APIs for cluster creation and cloud config 
update</li>
+<li>Provide generic interface for fetching and parsing cloud instance 
information</li>
+<li>Provide the implementation of Azure cloud instance information 
processor</li>
+<li>Provide the implementation of participant auto registration logic</li>
+</ul></section><section>
+<h3><a name="How_to_Use_Cloud_Support"></a>How to Use Cloud Support</h3>
+<p>First of all, you need to make sure that your environment is indeed a cloud 
environment. Otherwise, all the assumptions in this support will not hold. Then 
depending on what kind of cloud environment you are in, you will need to 
perform some or all of the following steps.</p><section>
+<h4><a name="Define_Cloud_config_at_Cluster_Level"></a>Define Cloud config at 
Cluster Level</h4>
+<p>Helix provides cloud configs at two different levels, one is at cluster 
level, and the other is at participant level. We describe them separately.</p>
+<p>At cluster level, we have a new Znode called CloudConfig. It has a few 
fields that store the relatively static cloud information for the whole 
cluster. Similar to other existing configs, Helix provides cloud config 
builder, validation, get/set functions. As the following table shows, the first 
two fields are required, and the last three fields are optional.</p>
+<p><code>CLOUD_ENABLED</code> must be set to true if the user would like to 
use Helix cloud support. <code>CLOUD_PROVIDER</code> is the type of the cloud 
environment. Besides the few well-known public cloud providers, the user can 
also define his/her cloud environment as &#x201c;CUSTOMIZED&#x201d;. 
<code>CLOUD_ID</code> is an optional field. It can be used to record any 
specific metadata information the user would like to record, e.g. the ID for 
the particular cluster inside a cloud environment, etc. If the user chooses to 
use the provider that already has default implementations in Helix, e.g., 
Azure, he does not need to provide the last two fields, as Helix already 
provides the default value for these two fields in system property, which is 
considered as a bundle with Azure implementation that would be discussed later. 
If the user uses customized providers, or chooses some other cloud environment 
that has not been implemented in Helix yet, the user needs to provide the last 
two fi
 elds and/or <code>CLOUD_ID</code> depending on his/her usage.</p>
+<table border="0" class="table table-striped">
+<thead>
+
+<tr class="a">
+<th>Field</th>
+<th>Meaning</th></tr>
+</thead><tbody>
+
+<tr class="b">
+<td align="left">CLOUD_ENABLED</td>
+<td>determine whether the cluster is inside cloud environment and use Helix 
cloud support</td></tr>
+<tr class="a">
+<td align="left">CLOUD_PROVIDER</td>
+<td>denote what kind of cloud environment the cluster is in, e.g. Azure, AWS, 
GCP, or CUSTOMIZED</td></tr>
+<tr class="b">
+<td align="left">CLOUD_ID</td>
+<td>the specific id in cloud environment that belongs to this cluster</td></tr>
+<tr class="a">
+<td align="left">CLOUD_INFO_SOURCE</td>
+<td>the source for retrieving the cloud information.</td></tr>
+<tr class="b">
+<td align="left">CLOUD_INFO_PROCESSOR_NAME</td>
+<td>the name of the function that processes the fetching and parsing of cloud 
information</td></tr>
+</tbody>
+</table>
+<p>Users could use either REST API or Java API to set these 
configs.</p><section>
+<h5><a name="REST_API_Examples"></a>REST API Examples</h5>
+<p>Helix enhanced current cluster creation REST API as well as Java API with 
extra fields that represent cloud related input. For example, in the following 
modified <code>createCluster</code> API, <code>addCloudConfig</code> is a 
Boolean value denotes whether to create with cloud config, and the 
<code>cloudConfigManifest</code> is the cloud config string, which will be 
converted to a Znode record.</p>
+
+<div class="source"><pre class="prettyprint"><code>@PUT
+  @Path(&quot;{clusterId}&quot;)
+  public Response createCluster(@PathParam(&quot;clusterId&quot;) String 
clusterId, @DefaultValue(&quot;false&quot;) @QueryParam(&quot;recreate&quot;) 
String recreate,
+      @DefaultValue(&quot;false&quot;) @QueryParam(&quot;addCloudConfig&quot;) 
String addCloudConfig, String cloudConfigManifest)
+</code></pre></div>
+<p>Besides the enhanced cluster creation API, Helix also provides a set of 
cloud specific APIs in Java and REST that handles the get/add/update of cloud 
config.</p>
+<ul>
+
+<li>Create cluster and add meanwhile cloud config related information to 
ZK.</li>
+</ul>
+
+<div class="source"><pre class="prettyprint"><code>$ curl -X PUT -H 
&quot;Content-Type: application/json&quot; 
http://localhost:1234/admin/v2/clusters/myCluster?addCloudConfig=true -d '
+{
+    &quot;simpleFields&quot; : 
+    {
+        &quot;CLOUD_ENABLED&quot; : &quot;true&quot;,
+        &quot;CLOUD_PROVIDER&quot;: &quot;AWS&quot;,
+        &quot;CLOUD_ID&quot; : &quot;12345&quot;
+        &quot;CLOUD_INFO_SOURCE&quot;: {&quot;http://169.254.169.254/&quot;}
+        &quot;CLOUD_INFO_PROCESSOR_NAME&quot;: 
&quot;AWSCloudInformationProcesser&quot;
+    }
+}'
+</code></pre></div>
+<ul>
+
+<li>Add cloud config to an existing cluster</li>
+</ul>
+
+<div class="source"><pre class="prettyprint"><code>$ curl -X PUT -H 
&quot;Content-Type: application/json&quot; 
http://localhost:1234/admin/v2/clusters/myCluster/cloudconfig -d '
+{
+    &quot;simpleFields&quot; : 
+    {
+        &quot;CLOUD_ENABLED&quot; : &quot;true&quot;,
+        &quot;CLOUD_PROVIDER&quot;: &quot;AWS&quot;,
+        &quot;CLOUD_ID&quot; : &quot;12345&quot;
+        &quot;CLOUD_INFO_SOURCE&quot;: {&quot;http://169.254.169.254/&quot;}
+        &quot;CLOUD_INFO_PROCESSOR_NAME&quot;: 
&quot;AWSCloudInformationProcesser&quot;
+    }
+}'
+</code></pre></div>
+<ul>
+
+<li>Delete the cloud config of a cluster</li>
+</ul>
+
+<div class="source"><pre class="prettyprint"><code>$ curl -X DELETE 
http://localhost:1234/admin/v2/clusters/myCluster/cloudconfig
+</code></pre></div>
+<ul>
+
+<li>Get the cloud config of a cluster</li>
+</ul>
+
+<div class="source"><pre class="prettyprint"><code>$ curl -X GET 
http://localhost:1234/admin/v2/clusters/myCluster/cloudconfig
+</code></pre></div>
+<ul>
+
+<li>Update the cloud config of a cluster</li>
+</ul>
+
+<div class="source"><pre class="prettyprint"><code>$ curl -X POST -H 
&quot;Content-Type: application/json&quot;  
http://localhost:1234/admin/v2/clusters/myCluster/cloudconfig?command=update -d 
'
+{
+    &quot;simpleFields&quot; : {
+        &quot;CLOUD_ID&quot; : &quot;12345&quot;
+    }
+}'
+</code></pre></div>
+<ul>
+
+<li>Delete some of the fields in the cloud config</li>
+</ul>
+
+<div class="source"><pre class="prettyprint"><code>$ curl -X POST -H 
&quot;Content-Type: application/json&quot; 
http://localhost:1234/admin/v2/clusters/myCluster/cloudconfig?command=delete -d 
'
+{
+    &quot;simpleFields&quot; : {
+        &quot;CLOUD_ID&quot; : &quot;12345&quot;
+    }
+}'
+</code></pre></div></section></section><section>
+<h4><a name="Define_Cloud_Configs_at_Participant_Level"></a>Define Cloud 
Configs at Participant Level</h4>
+<p>At participant level, Helix allows users to provide detailed cloud 
properties, which is more related to the participant&#x2019;s actions. For 
default value, Helix provides <a class="externalLink" 
href="https://github.com/apache/helix/blob/master/helix-core/src/main/resources/azure-cloud.properties";>Azure
 cloud properties</a>, including not only the default cluster level config 
values for Azure, like <code>CLOUD_INFO_SOURCE</code> and 
<code>CLOUD_INFO_PROCESSOR_NAME</code>, but also some participant specific 
values, such as http timeout when querying AIMS (Azure Instance Metadata 
Service) in Azure, max retry times, etc.</p>
+
+<div class="source"><pre 
class="prettyprint"><code>cloud_info_source=http://169.254.169.254/metadata/instance?api-version=2019-06-04
+cloud_info_processor_name=AzureCloudInstanceInformationProcessor
+cloud_max_retry=5
+connection_timeout_ms=5000
+request_timeout_ms=5000
+</code></pre></div>
+<p>If users would like to use their customized config for participants, they 
can input the specific properties through <a class="externalLink" 
href="https://github.com/apache/helix/blob/master/helix-core/src/main/java/org/apache/helix/HelixManagerProperty.java";>Helix
 Manager Property</a> when composing <a class="externalLink" 
href="https://github.com/apache/helix/blob/master/helix-core/src/main/java/org/apache/helix/manager/zk/ZKHelixManager.java";>Zk
 Helix Manager</a>, which is passed into participants. <a class="externalLink" 
href="https://github.com/apache/helix/blob/master/helix-core/src/main/java/org/apache/helix/HelixManagerProperty.java";>Helix
 Manager Property</a> includes <a class="externalLink" 
href="https://github.com/apache/helix/blob/master/helix-core/src/main/java/org/apache/helix/HelixCloudProperty.java";>Helix
 Cloud Property</a> which includes commonly used cloud properties and also any 
kind of user defined cloud properties.</p>
+
+<div class="source"><pre class="prettyprint"><code>public 
ZKHelixManager(String clusterName, String instanceName, InstanceType 
instanceType,
+    String zkAddress, HelixManagerStateListener stateListener, 
HelixManagerProperty helixManagerProperty)
+</code></pre></div></section><section>
+<h4><a 
name="Implement_Cloud_Instance_Information_.28if_necessary.29"></a>Implement 
Cloud Instance Information (if necessary)</h4>
+<p>Helix has predefined a few fields in the interface of <a 
class="externalLink" 
href="https://github.com/apache/helix/blob/master/helix-core/src/main/java/org/apache/helix/api/cloud/CloudInstanceInformation.java";>CloudInstanceInformation</a>
 that are commonly used in participant. Users are free to define other fields 
in the instance metadata that they think are useful.</p>
+
+<div class="source"><pre class="prettyprint"><code>public interface 
CloudInstanceInformation {
+  /**
+   * Get the the value of a specific cloud instance field by name
+   * @return the value of the field
+   */
+  String get(String key);
+
+  /**
+   * The enum contains all the required cloud instance field in Helix
+   */
+  enum CloudInstanceField {
+    INSTANCE_NAME,
+    FAULT_DOMAIN,
+    INSTANCE_SET_NAME
+  }
+}
+</code></pre></div></section><section>
+<h4><a 
name="Implement_Cloud_Instance_Information_Processor_.28if_necessary.29"></a>Implement
 Cloud Instance Information Processor (if necessary)</h4>
+<p>Helix provides an interface to fetch and parse cloud instance information 
as follows. Helix makes the interface generic enough so that users may 
implement their own fetching and parsing logic with maximum freedom.</p>
+
+<div class="source"><pre class="prettyprint"><code>/**
+ * Generic interface to fetch and parse cloud instance information
+ */
+public interface CloudInstanceInformationProcessor&lt;T extends Object&gt; {
+
+  /**
+   * Get the raw cloud instance information
+   * @return raw cloud instance information
+   */
+  List&lt;T&gt; fetchCloudInstanceInformation();
+
+  /**
+   * Parse the raw cloud instance information in responses and compose 
required cloud instance information
+   * @return required cloud instance information
+   */
+  CloudInstanceInformation parseCloudInstanceInformation(List&lt;T&gt; 
responses);
+}
+</code></pre></div>
+<p>Helix also implements an example processor for Azure in <a 
class="externalLink" 
href="https://github.com/apache/helix/blob/master/helix-core/src/main/java/org/apache/helix/cloud/azure/AzureCloudInstanceInformationProcessor.java";>AzureCloudInstanceInformationProcessor</a>.
 The implementation includes fetching and parsing Azure cloud instance 
information. The fetching function retrieves instance information from Azure 
AIMS, and the parsing function validates the response, and selects the fields 
needed for participant auto registration. If users would like to use Helix in 
an Azure environment, they do not need to implement it by themselves.</p>
+<p>If users need to use Helix in another cloud environment, they can implement 
their own information processor. The implementation would be similar to Azure 
implementation, and the main difference would be in how to parse the response 
and retrieve interested fields.</p></section><section>
+<h4><a 
name="Config_Properly_for_Participant_Auto_Registration_to_Work"></a>Config 
Properly for Participant Auto Registration to Work</h4>
+<p>To make the participant auto registration work, users would need to make 
sure their cluster config is set properly. The most important one is the 
<code>allowParticipantAutoJoin</code> field in cluster config.</p>
 
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+<div class="source"><pre class="prettyprint"><code>{
+    &quot;id&quot;: &quot;clusterName&quot;,
+    &quot;listFields&quot;: {},
+    &quot;mapFields&quot;: {},
+    &quot;simpleFields&quot;: {
+        ......
+        &quot;allowParticipantAutoJoin&quot;: &quot;true&quot;
+        ......
+    }
+}
+</code></pre></div>
+<p>This field is used in participant manager logic as a prerequisite for 
participants to do auto registration. The detailed logic is shown in the 
following flow chart. The related code is in <a class="externalLink" 
href="https://github.com/apache/helix/blob/master/helix-core/src/main/java/org/apache/helix/manager/zk/ParticipantManager.java";>Participant
 Manager</a>.</p>
+<p><img src="./images/ParticipantAutoRegistrationLogic.png" alt="Participant 
Auto Registration Logic" /></p>
+<p>If the participant decides that it should do auto registration based on the 
config, it will first query cloud config and decide what environment it is in. 
Based on this information, the participant will call the corresponding cloud 
instance information processor. Then with all the information, especially the 
domain information, the participant can auto register to the cluster without 
any manual effort.</p></section></section></section>
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Foundation.
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 </html>
\ No newline at end of file

Modified: helix/site-content/1.0.2-docs/tutorial_controller.html
URL: 
http://svn.apache.org/viewvc/helix/site-content/1.0.2-docs/tutorial_controller.html?rev=1900184&r1=1900183&r2=1900184&view=diff
==============================================================================
--- helix/site-content/1.0.2-docs/tutorial_controller.html (original)
+++ helix/site-content/1.0.2-docs/tutorial_controller.html Sat Apr 23 04:22:15 
2022
@@ -1,200 +1,285 @@
-
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+
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+<section>
+<h2><a name="Helix_Tutorial:_Controller"></a><a href="./Tutorial.html">Helix 
Tutorial</a>: Controller</h2>
+<p>Next, let's implement the controller.  This is the brain of the cluster.  
Helix makes sure there is exactly one active controller running the 
cluster.</p><section>
+<h3><a name="Start_a_Connection"></a>Start a Connection</h3>
+<p>The Helix manager requires the following parameters:</p>
+<ul>
+
+<li>clusterName: A logical name to represent the group of nodes</li>
+<li>instanceName: A logical name of the process creating the manager instance. 
Generally this is host:port</li>
+<li>instanceType: Type of the process. This can be one of the following types, 
in this case use CONTROLLER:
+<ul>
+
+<li>CONTROLLER: Process that controls the cluster, any number of controllers 
can be started but only one will be active at any given time</li>
+<li>PARTICIPANT: Process that performs the actual task in the distributed 
system</li>
+<li>SPECTATOR: Process that observes the changes in the cluster</li>
+<li>ADMIN: To carry out system admin actions</li>
+</ul>
+</li>
+<li>zkConnectString: Connection string to ZooKeeper. This is of the form 
host1:port1,host2:port2,host3:port3</li>
+</ul>
+
+<div class="source"><pre class="prettyprint"><code>manager = 
HelixManagerFactory.getZKHelixManager(clusterName,
+                                                instanceName,
+                                                instanceType,
+                                                zkConnectString);
+</code></pre></div></section><section>
+<h3><a name="Controller_Code"></a>Controller Code</h3>
+<p>The Controller needs to know about all changes in the cluster. Helix takes 
care of this with the default implementation.
+If you need additional functionality, see GenericHelixController on how to 
configure the pipeline.</p>
+
+<div class="source"><pre class="prettyprint"><code>manager = 
HelixManagerFactory.getZKHelixManager(clusterName,
+                                                instanceName,
+                                                InstanceType.CONTROLLER,
+                                                zkConnectString);
+manager.connect();
+</code></pre></div>
+<p>The snippet above shows how the controller is started. You can also start 
the controller using command line interface.</p>
+
+<div class="source"><pre class="prettyprint"><code>cd 
helix/helix-core/target/helix-core-pkg/bin
+./run-helix-controller.sh --zkSvr &lt;Zookeeper ServerAddress (Required)&gt;  
--cluster &lt;Cluster name (Required)&gt;
+</code></pre></div></section><section>
+<h3><a name="Controller_Deployment_Modes"></a>Controller Deployment Modes</h3>
+<p>Helix provides multiple options to deploy the controller.</p><section>
+<h4><a name="STANDALONE"></a>STANDALONE</h4>
+<p>The Controller can be started as a separate process to manage a cluster. 
This is the recommended approach. However, since one controller can be a single 
point of failure, multiple controller processes are required for reliability.  
Even if multiple controllers are running, only one will be actively managing 
the cluster at any time and is decided by a leader-election process. If the 
leader fails, another leader will take over managing the cluster.</p>
+<p>Even though we recommend this method of deployment, it has the drawback of 
having to manage an additional service for each cluster. See the Controller as 
a Service option.</p></section><section>
+<h4><a name="EMBEDDED"></a>EMBEDDED</h4>
+<p>If setting up a separate controller process is not viable, then it is 
possible to embed the controller as a library in each of the 
participants.</p></section><section>
+<h4><a name="CONTROLLER_AS_A_SERVICE"></a>CONTROLLER AS A SERVICE</h4>
+<p>One of the cool features we added in Helix was to use a set of controllers 
to manage a large number of clusters.</p>
+<p>For example if you have X clusters to be managed, instead of deploying X*3 
(3 controllers for fault tolerance) controllers for each cluster, one can 
deploy just 3 controllers.  Each controller can manage X/3 clusters.  If any 
controller fails, the remaining two will manage X/2 clusters.</p>
+<p>Next, let's implement the controller.  This is the brain of the cluster.  
Helix makes sure there is exactly one active controller running the 
cluster.</p></section></section><section>
+<h3><a name="Start_the_Helix_agent"></a>Start the Helix agent</h3>
+<p>It requires the following parameters:</p>
+<ul>
+
+<li>clusterName: A logical name to represent the group of nodes</li>
+<li>instanceName: A logical name of the process creating the manager instance. 
Generally this is host:port.</li>
+<li>instanceType: Type of the process. This can be one of the following types, 
in this case use CONTROLLER:
+<ul>
+
+<li>CONTROLLER: Process that controls the cluster, any number of controllers 
can be started but only one will be active at any given time.</li>
+<li>PARTICIPANT: Process that performs the actual task in the distributed 
system.</li>
+<li>SPECTATOR: Process that observes the changes in the cluster.</li>
+<li>ADMIN: To carry out system admin actions.</li>
+</ul>
+</li>
+<li>zkConnectString: Connection string to Zookeeper. This is of the form 
host1:port1,host2:port2,host3:port3.</li>
+</ul>
+
+<div class="source"><pre class="prettyprint"><code>      manager = 
HelixManagerFactory.getZKHelixManager(clusterName,
+                                                      instanceName,
+                                                      instanceType,
+                                                      zkConnectString);
+</code></pre></div></section><section>
+<h3><a name="Controller_Code"></a>Controller Code</h3>
+<p>The Controller needs to know about all changes in the cluster. Helix takes 
care of this with the default implementation.
+If you need additional functionality, see GenericHelixController on how to 
configure the pipeline.</p>
+
+<div class="source"><pre class="prettyprint"><code>      manager = 
HelixManagerFactory.getZKHelixManager(clusterName,
+                                                          instanceName,
+                                                          
InstanceType.CONTROLLER,
+                                                          zkConnectString);
+     manager.connect();
+     GenericHelixController controller = new GenericHelixController();
+     manager.addControllerListener(controller);
+     manager.addInstanceConfigChangeListener(controller);
+     manager.addResourceConfigChangeListener(controller);
+     manager.addClusterfigChangeListener(controller);
+     manager.addCustomizedStateConfigChangeListener(controller);
+     manager.addLiveInstanceChangeListener(controller);
+     manager.addIdealStateChangeListener(controller);
+</code></pre></div>
+<p>The snippet above shows how the controller is started. You can also start 
the controller using command line interface.</p>
+
+<div class="source"><pre class="prettyprint"><code>cd 
helix/helix-core/target/helix-core-pkg/bin
+./run-helix-controller.sh --zkSvr &lt;Zookeeper ServerAddress (Required)&gt;  
--cluster &lt;Cluster name (Required)&gt;
+</code></pre></div></section><section>
+<h3><a name="Controller_Deployment_Modes"></a>Controller Deployment Modes</h3>
+<p>Helix provides multiple options to deploy the controller.</p><section>
+<h4><a name="STANDALONE"></a>STANDALONE</h4>
+<p>The Controller can be started as a separate process to manage a cluster. 
This is the recommended approach. However, since one controller can be a single 
point of failure, multiple controller processes are required for reliability.  
Even if multiple controllers are running, only one will be actively managing 
the cluster at any time and is decided by a leader-election process. If the 
leader fails, another leader will take over managing the cluster.</p>
+<p>Even though we recommend this method of deployment, it has the drawback of 
having to manage an additional service for each cluster. See Controller As a 
Service option.</p></section><section>
+<h4><a name="EMBEDDED"></a>EMBEDDED</h4>
+<p>If setting up a separate controller process is not viable, then it is 
possible to embed the controller as a library in each of the 
participants.</p></section><section>
+<h4><a name="CONTROLLER_AS_A_SERVICE"></a>CONTROLLER AS A SERVICE</h4>
+<p>One of the cool features we added in Helix is to use a set of controllers 
to manage a large number of clusters.</p>
+<p>For example if you have X clusters to be managed, instead of deploying X*3 
(3 controllers for fault tolerance) controllers for each cluster, one can 
deploy just 3 controllers.  Each controller can manage X/3 clusters.  If any 
controller fails, the remaining two will manage X/2 
clusters.</p></section></section></section>
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