How-to guides

• 1: Data Flow Services
• 2: Installing Ingress Controller

1 - Data Flow Services

The user can enter the essential information of Data Flow Services in the Data Flow service through the Samsung Cloud Platform Console and create the service by selecting detailed options.

Create Data Flow Services

The user can add a service by selecting the detailed options of the Data Flow service or entering the setting value.

To create Data Flow Services, follow these steps.

1. Click all services > Data Analytics > Data Flow menu. It moves to Data Flow Service Home page.

2. On the Service Home page, click Data Flow Services. It moves to the Data Flow Services list page.

3. On the Data Flow Services list page, click the Create Data Flow Services button. It moves to the Create Data Flow Services page.

4. Data Flow Services Creation page, enter the information required for service creation and select detailed options.

   • Enter Service Information Enter or select the required information in the area.

     Classification	Necessity	Detailed Description
     Data Flow name	required	Data Flow selection
     Flow Service name	Required	Enter Data Flow Services name Start with lowercase English letters and do not end with a special character (-), use lowercase letters, numbers, and special characters (-) to enter 3 to 30 characters
     Storage Class	Required	Select the storage class used by the selected cluster
     Description	Select	Enter additional information or description about Data Flow Services within 150 characters
     Domain Setting	Mandatory	Enter the Data Flow Services domain Start with lowercase English letters and do not end with a special character (-), use lowercase letters, numbers, and special characters (-) to input 3 ~ 50 characters {Data Flow Services name}.{set domain} will be the Data Flow Services access address.
     Node Selector	Required	To install on a specific node, enter a distinguishable Label from the node’s Labels If the node Label is entered incorrectly, an installation error may occur, so check the node Label in advance The node Label can be checked in the yaml file of the corresponding node
     Service Workload	Required	Nifi: A module that provides Apache Nifi services and UI Nifi Registry: A module for setting and deploying Nifi templates Zookeeper: A module that supports distributed processing of Nifi in multiple nodes
     Account	Required	Enter Nifi account ID: Enter a value between 6 and 30 characters, starting with a lowercase letter and using lowercase letters and numbers Password: Enter a value of 8 to 50 characters, including uppercase letters (English), lowercase letters (English), numbers, and special characters (!@#$%^&*) Password Confirmation: Enter the password again, identical to the previous entry

     Fig. Data Flow Services Service Information Input Items

   • Additional Information Input area, please enter or select the required information.

     Classification	Necessity	Detailed Description
     Host Alias	Selection	Add host information to be connected to Data Flow (up to 20 can be created, including default) Use is selected and then + button is clicked Hostname: in the form of hostname or domain, using lowercase letters, numbers, and special characters (-) to enter 3 ~ 63 characters IP: enter in IP format click the X button to delete the firewall between the cluster and the corresponding server must be open to use the added host information
     Tag	Selection	Add tag Add tag button to create and add tags or add existing tags Up to 50 tags can be added Newly added tags are applied after service creation is completed

     Fig. Data Flow Additional Information Input Items

5. In the Summary panel, review the detailed information and estimated charges, and click the Complete button.

   • Once creation is complete, check the created resource on the Data Flow Services list page.

Data Flow Services detailed information check

You can check and modify the list of all resources and detailed information of Data Flow Services. The Data Flow Services details page consists of details, tags, and operation history tabs.

To check the detailed information of Data Flow Services, follow the next procedure.

1. 모든 서비스 > Data Analytics > Data Flow menu should be clicked. It moves to the Service Home page of Data Flow.
2. Service Home page, click the Data Flow Services menu. It moves to the Data Flow Services list page.
3. Data Flow Services list page, click on the resource to check the detailed information. Move to the Data Flow Services details page.
   • Data Flow Services Details page displays status information and additional features at the top.

Detailed Information

On the Data Flow Services list page, you can check the detailed information of the selected resource and modify the information if necessary.

Tag

On the Data Flow Services List page, you can check the tag information of the selected resource, and add, change, or delete it.

Work History

You can check the operation history of the selected resource on the Data Flow Services list page.

Cancel Data Flow Services

You can cancel unused Data Flow Services to reduce operating costs. However, when canceling a service, the operating service may be stopped immediately, so you should consider the impact of stopping the service sufficiently before proceeding with the cancellation work.

To cancel Data Flow or Data Flow Services, follow the procedure below.

1. Click All Services > Data Analytics > Data Flow menu. It moves to the Service Home page of Data Flow.
2. Service Home page, click the Data Flow Services menu. Move to the Data Flow Services list page.
3. Data Flow Services list page, select the resource to be canceled and click the Data Flow Services delete button.
4. Once the cancellation is complete, please check if the resource has been cancelled on the Data Flow Services list page.

2 - Installing Ingress Controller

The user must install the Ingress Controller before creating the Data Flow service. Only one Ingress Controller must be installed in a Kubernetes cluster.

Install Ingress Controller using Container Registry

To install Ingress Controller using Container Registry, follow the procedure below.

1. Prepare the SCR (Samsung Container Registry) to store the Ingress Controller image.
2. Push the Ingress Controller image to SCR(Samsung Container Registry).
3. Download the YAML file used for installation from Ingress GitHub and modify the following items.

kind: Deployment
...
spec:
  template:
    spec:
      containers:
        image: {SCR private endpoint}.{repository name}.{image name}:{tag}

kind: Deployment
...
spec:
  template:
    spec:
      containers:
        image: {SCR private endpoint}.{repository name}.{image name}:{tag}

kind: ConfigMap
...
metadata:
  labels:
    app: ingress-controller

kind: Service
...
metadata:
  labels:
    app: ingress-controller

kind: Deployment
...
metadata:
  labels:
    app: ingress-controller

kind: IngressClass
...
metadata:
  labels:
    app: ingress-controller

kind: ConfigMap
...
metadata:
  labels:
    app: ingress-controller

kind: Service
...
metadata:
  labels:
    app: ingress-controller

kind: Deployment
...
metadata:
  labels:
    app: ingress-controller

kind: IngressClass
...
metadata:
  labels:
    app: ingress-controller

4. You can install the Ingress Controller using the Create Object button in the Workloads > Deployments list in Kubernetes Engine using the modified YAML file.