dongjoon-hyun commented on code in PR #113:
URL: 
https://github.com/apache/spark-kubernetes-operator/pull/113#discussion_r1762254307


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docs/architecture.md:
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+
+# Design & Architecture
+
+**Spark-Kubernetes-Operator** (Operator) acts as a control plane to manage the 
complete
+deployment lifecycle of Spark applications. The Operator can be installed on a 
Kubernetes
+cluster using Helm. In most production environments it is typically deployed 
in a designated
+namespace and controls Spark deployments in one or more managed namespaces. 
The custom resource
+definition (CRD) that describes the schema of a SparkApplication is a cluster 
wide resource.
+For a CRD, the declaration must be registered before any resources of that 
CRDs kind(s) can be
+used, and the registration process sometimes takes a few seconds.
+
+Users can interact with the operator using the kubectl or k8s API. The 
Operator continuously
+tracks cluster events relating to the SparkApplication custom resources. When 
the operator
+receives a new resource update, it will take action to adjust the Kubernetes 
cluster to the
+desired state as part of its reconciliation loop. The initial loop consists of 
the following
+high-level steps:
+
+* User submits a SparkApplication custom resource(CR) using kubectl / API

Review Comment:
   Let's be clear that this is one of two cases: `SparkApplication` and 
`SparkCluster` .



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