This guide details the required steps to update an Inforiver Editable container instance within an Azure on-premises environment. Please follow these instructions carefully to ensure a smooth and successful update that incorporates the latest features.
1. Edit the CNI Configuration
Open your Azure CLI window and run the following command:
Copy az container export -g < resource group nam e > -n < container instance name > --file output_file
To download the output file, click on Manage files -> Download and enter the path of the output file. Click Download .
Click on the output file to download it to your local system.
Now configure the below-listed container configurations in this file for Inforiver EDITable container deployment.
Containers Instance List -1
The following are the set of containers required for the Inforiver deployment of Azure container instance - 1.
i) Inforiver Cron
Copy - name : inforiver-cron-container
properties :
configMap :
keyValuePairs : {}
environmentVariables :
- name : ADMIN_PORTAL_URL
value : <Admin Portal URL>
image : turing.azurecr.io/turing-cron:<tag>
ports : []
resources :
requests :
cpu : 0.25
memoryInGB : 0.5
ii) Inforiver Audit
Copy - name : inforiver-audit-container
properties :
configMap :
keyValuePairs : {}
environmentVariables :
- name : ADMIN_PORTAL_URL
value : <Admin Portal URL>
image : turing.azurecr.io/turing-audit:<tag>
ports : []
resources :
requests :
cpu : 0.25
memoryInGB : 0.5
iii) Inforiver Orchestrator
Copy - name : inforiver-orchestrator-container
properties :
configMap :
keyValuePairs : {}
environmentVariables :
- name : ADMIN_PORTAL_URL
value : <Admin Portal URL>
image : turing.azurecr.io/turing-orchestrator:<tag>
ports : []
resources :
requests :
cpu : 0.25
memoryInGB : 1.0
iv) Inforiver Worker
Copy - name : inforiver-worker-container
properties :
configMap :
keyValuePairs : {}
environmentVariables :
- name : ADMIN_PORTAL_URL
value : <Admin Portal URL>
image : turing.azurecr.io/turing-worker:<tag>
ports : []
resources :
requests :
cpu : 0.25
memoryInGB : 2.0
v) Inforiver Writeback Worker
Copy - name : inforiver-writeback-worker-container
properties :
configMap :
keyValuePairs : {}
environmentVariables :
- name : ADMIN_PORTAL_URL
value : <Admin Portal URL>
image : turing.azurecr.io/turing-writeback-worker:<tag>
ports : []
resources :
requests :
cpu : 0.5
memoryInGB : 3.0
vi) InfoBridge Writeback Worker
Copy - name : inforiver-infobridge-writeback-worker
properties :
configMap :
keyValuePairs : {}
environmentVariables :
- name : ADMIN_PORTAL_URL
value : <Admin Portal URL>
- name : PRODUCT_BUILD
value : inforiver
- name : LISTENER_MODE
value : dataflow
image : turing.azurecr.io/turing-writeback-worker:<tag>
ports : []
resources :
requests :
cpu : 0.5
memoryInGB : 2.0
volumeMounts :
- mountPath : /mnt/azure
name : infofile
vii) InfoBridge Transformation Worker
Copy - name : inforiver-infobridge-transformation-worker
properties :
configMap :
keyValuePairs : {}
environmentVariables :
- name : ADMIN_PORTAL_URL
value : <Admin Portal URL>
- name : PRODUCT_BUILD
value : inforiver
- name : SERVICE_NAME
value : infobridgeTransformationWorker
- name : GRPC_URL
value : localhost:9006
image : turing.azurecr.io/turing-datasource-integration-worker:<tag>
ports : []
resources :
requests :
cpu : 1
memoryInGB : 2.0
volumeMounts :
- mountPath : /mnt/azure
name : infofile
viii) InfoBridge Visual Worker
Copy - name : inforiver-infobridge-visual-worker
properties :
configMap :
keyValuePairs : {}
environmentVariables :
- name : ADMIN_PORTAL_URL
value : <Admin Portal URL>
- name : PRODUCT_BUILD
value : inforiver
- name : SERVICE_NAME
value : infobridgeVisualWorker
- name : VISUAL_WORKER_LISTENER_MODE
value : dataFlowSourceIntegration
- name : DEFAULT_MODE
value : Non-Aks
image : turing.azurecr.io/turing-visual-worker:<tag>
ports : []
resources :
requests :
cpu : 0.5
memoryInGB : 2.0
volumeMounts :
- mountPath : /mnt/azure
name : infofile
ix) InfoBridge Engine Worker
Copy - name : inforiver-infobridge-engine-worker
properties :
configMap :
keyValuePairs : {}
environmentVariables :
- name : ADMIN_PORTAL_URL
value : <Admin Portal URL>
- name : DUCKDB_MOUNT_PATH
value : /mnt/azure
image : turing.azurecr.io/turing-infobridge-engine:<tag>
ports :
- port : 9006
protocol : tcp
resources :
requests :
cpu : 0.5
memoryInGB : 2.0
volumeMounts :
- mountPath : /mnt/azure
name : infofile
Containers Instance List -2
The following are the set of containers required for the Inforiver EDITable deployment of Azure container instance - 2.
i) Inforiver Writeback Worker-1
Copy - name : inforiver-writeback-worker-container-1
properties :
configMap :
keyValuePairs : {}
environmentVariables :
- name : ADMIN_PORTAL_URL
value : <Admin Portal URL>
image : turing.azurecr.io/turing-writeback-worker:<tag>
ports : []
resources :
requests :
cpu : 0.5
memoryInGB : 3.0
ii) Inforiver Auto Writeback Worker
Copy - name : inforiver-auto-writeback-worker-container
properties :
configMap :
keyValuePairs : {}
environmentVariables :
- name : ADMIN_PORTAL_URL
value : <Admin Portal URL>
- name : IS_AUTO_WRITEBACK_CONTAINER
value : Y
image : turing.azurecr.io/turing-writeback-worker:<tag>
ports : []
resources :
requests :
cpu : 0.25
memoryInGB : 2.0
iii) Inforiver Visual Worker
Copy - name : inforiver-visual-worker-container
properties :
configMap :
keyValuePairs : {}
environmentVariables :
- name : ADMIN_PORTAL_URL
value : <Admin Portal URL>
image : turing.azurecr.io/turing-visual-worker:<tag>
ports : []
resources :
requests :
cpu : 0.25
memoryInGB : 2.0
iv) Inforiver ETL Worker
Copy - name : inforiver-etl-worker-container
properties :
configMap :
keyValuePairs : {}
environmentVariables :
- name : ADMIN_PORTAL_URL
value : <Admin Portal URL>
image : turing.azurecr.io/turing-etl-worker:<tag>
ports : []
resources :
requests :
cpu : 0.25
memoryInGB : 1.0
Copy - name : inforiver-comment-worker-container
properties :
configMap :
keyValuePairs : {}
environmentVariables :
- name : ADMIN_PORTAL_URL
value : <Admin Portal URL>
- name : SERVICE_NAME
value : "commentWorker"
image : turing.azurecr.io/turing-worker:<tag>
ports : []
resources :
requests :
cpu : 0.25
memoryInGB : 1.0
vi) MDM Worker
Copy - name : mdm-worker-container
properties :
configMap :
keyValuePairs : {}
environmentVariables :
- name : ADMIN_PORTAL_URL
value : <Admin Portal URL>
- name : PRODUCT_BUILD
value : mde
image : turing.azurecr.io/turing-mdm-worker:<tag>
ports : []
resources :
requests :
cpu : 0.25
memoryInGB : 2.0
After adding the list of container configurations in both container instances, verify these steps in both container instance configurations.
Provide the username and password for pulling the image from the registry. You would have received this information during the initial deployment. If not, please get in touch with our support team.
Remove the IP configuration section from the configuration file from both ACIs.
Provide the storage account details in the volume section for the first container instance only.
Copy volumes :
- azureFile :
shareName : <filesharename>
storageAccountName : <storage account name>
storageAccountKey : <storage account primary key>
name : <volumename>
Note : Storage account keys can be obtained from the respective storage account's Access keys section.
2. Create ACI
We need to separate the ACI into two container instances.
First, add the initial set of Inforiver containers into one configuration file and create the first ACI with a name, say inforivercontainerinstance.
Then, add the second set of InforiverEditable containers in another configuration file and create the second ACI, say inforivercontainerinstancenew.
After adding all the containers in the configuration files, execute the following commands in the Azure CLI to create two separate container instances.
Copy az container create -g < resource group nam e > -n < container instance nam e > --file output_file
Copy az container create -g < resource group nam e > -n < container instance nam e > --file output_file1
The CNI will start provisioning with the latest configuration.
Please wait until the status is complete.
By following the above steps, you will be able to successfully update your Inforiver EDITable container instances.
The update brings enhanced features and improvements that will benefit your Azure on-premises environment. Ensure all the above steps are completed carefully, and refer to the provided screenshots for additional assistance.
If you encounter any issues or need further assistance, please contact our technical support team here .