You can use Atlas Kubernetes Operator to manage stream processing workspaces and connections for Atlas Stream Processing. Atlas Stream Processing enables you to process streams of complex data using the same MongoDB Query API that Atlas databases use. Atlas Stream Processing allows you to do the following tasks:
- Build aggregation pipelines to continuously operate on streaming data without the delays inherent in batch processing. 
- Perform continuous schema validation to check that messages are properly formed, detect message corruption, and detect late-arriving data. 
- Continuously publish results to Atlas collections or Apache Kafka clusters, ensuring up-to-date views and analysis of data. 
Atlas Stream Processing components belong directly to Atlas projects and operate independent of Atlas clusters. To learn more, see what-is-atlas-sp.
Stream Processing Workspaces and Connections
Atlas Stream Processing workspaces provide the context for all of your operations on streaming data. You can configure a sample connection, a connection to an Atlas change stream, or a connection to an Apache Kafka system. Then you can add the connection to the Connection Registry for your stream processing workspace. To learn more, see Manage Stream Processing Workspaces.
Prerequisites
To use Atlas Kubernetes Operator to manage stream processing workspaces and connections, you must:
- Have an Atlas user with the - Project Owneror the- Project Stream Processing Ownerrole to manage a Connection Registry and Stream Processing Workspace. To learn more about the differences between the two roles, see Project Roles.
- Have a running Kubernetes cluster with Atlas Kubernetes Operator deployed. 
- Ensure your IP address is in the organization's API access list. 
Procedure
To use Atlas Kubernetes Operator to manage a stream processing workspace and its connections, do the following steps:
Configure the AtlasStreamWorkspace Custom Resource.
Example:
cat <<EOF | kubectl apply -f - apiVersion: atlas.mongodb.com/v1 kind: AtlasStreamInstance metadata:   name: my-stream-instance spec:   name: my-stream-instance   clusterConfig:     provider: AWS     region: VIRGINIA_USA     tier: SP30   projectRef:     name: my-project EOF 
To learn more about the available parameters, see the
AtlasStreamWorkspace Custom Resource.
Note
Currently, Atlas Kubernetes Operator supports only the AWS provider and the
VIRGINIA_USA region for this custom resource.
Configure the AtlasStreamConnection Custom Resource.
You can configure a sample connection, a connection to an Atlas change stream, or a connection to an Apache Kafka system.
Examples:
apiVersion: atlas.mongodb.com/v1 kind: AtlasStreamConnection metadata:   name: my-stream-connection spec:   name: sample_stream_solar   type: Sample 
Note
If you specify Sample for the spec.type
parameter, the spec.name parameter must match the
sample collection name. Currently, Atlas Kubernetes Operator supports only
the sample_stream_solar sample collection for this
custom resource.
apiVersion: atlas.mongodb.com/v1 kind: AtlasStreamConnection metadata:   name: my-stream-connection spec:   name: my-stream-connection   type: Cluster   clusterConfig:     name: my-cluster   role:     name: my-db-role     type: CUSTOM 
apiVersion: atlas.mongodb.com/v1 kind: AtlasStreamConnection metadata:   name: my-stream-connection spec:   name: my-stream-connection   type: Kafka   kafkaConfig:     bootstrapServers: "comma,separated,list,of,server,addresses"     authentication:       mechanism: SCRAM-512       credentials:         name: ref-to-creds-secret         namespace: default     security:       protocol: SSL       certificate:         name: ref-to-certificate-secret         namespace: default 
To learn more about the available parameters, see the
AtlasStreamConnection Custom Resource.
Add your connections to the Connection Registry in the AtlasStreamWorkspace Custom Resource.
Example:
cat <<EOF | kubectl apply -f - apiVersion: atlas.mongodb.com/v1 kind: AtlasStreamInstance metadata:    name: my-stream-instance spec:   name: my-stream-instance   clusterConfig:     provider: AWS     region: VIRGINIA_USA     tier: SP30   projectRef:     name: my-project   connectionRegistry:     - name: ref-my-connection-1       namespace: my-namespace1     - name: ref-my-connection-2       namespace: my-namespace2     - name: ref-my-connection-3       namespace: my-namespace1 EOF 
Note
Currently, Atlas Kubernetes Operator supports only the AWS provider and the
VIRGINIA_USA region for this custom resource.
To learn more about the available parameters, see the
AtlasStreamWorkspace Custom Resource.