9.1 Users Management and RBAC

9.2 Authentication and Security

9.3 Data Management and Data Model Handling 

9.3.1 Storage

9.3.2 Retention

9.3.3 Export/Import 

Resource Management

Import Data

9.3.4 Working with Data Model
9.3.5 Data Extraction

9.4 Control Center

9.4.1 License Entitlements

9.5 Platform Settings

9.5.1 Definitions

9.5.2 Preferences

9.5.3 About

Data Streams > DataStore Connector Configuration

1. Introduction to vuSmartMaps™

2. Getting Started with vuSmartMaps™

3. Installing vuSmartMaps™

4. Configuring vuSmartMaps™

Observability Sources

Data Pipeline and Parser Configuration

Data Enrichment Techniques

Onboarding Applications and Business Journeys
Configuring RCABot and ML Models

Tuning Hyperparameters and Model Training

5. Observability Through vuSmartMaps™

Dashboards and Visualization 

Business and Operational Storyboard
RCA Storyboard

Alert Console and Correlation

Alerts and Notification

Rule-based and Dynamic threshold-based Alerts

Programmable Alerts

Notifications and Triggers

Alert Customization Notification

RCABot and ChatBot Interactions

Ved – Gen AI Bot

Comprehensive Reporting

Log Management and Analysis

Application Observability

Journey Observability

6. Understanding vuSmartMaps™

Platform Architecture and Key Services
Insights from Logs, Traces and Metrics
How domain-centric approach enables better RCA and ML insights?
Security and Compliance

7. Administering vuSmartMaps™

Dashboard Creation



Custom Panels

• UTM Visualization

• Matrix Visualization

• Insights

Alert Creation

Data Source Management

Report Generation

Data Onboarding and Instrumentation

Mobile Dashboard Configuration

9. Managing vuSmartMaps™

Users Management and RBAC

Authentication and Security

• Data Management and Data Model Handling 



• Export/Import 

• Resource Management

• Import Data

Working with Data Model
Data Extraction

• Control Center

License Entitlements

• Platform Settings




10. Glossary

11. Support and Troubleshooting

DataStore Connector Configuration

Create a DataStore Connector

Click on the + button to create a DataStore Connector.

After clicking on + the button you will be redirected to the Create DataStore Connector page.

After that, you have to select the Connector type:

  1. ES sink connector
  2. JDBC sink connector

ES sink connector

Select the ES sink connector and fill in the required details such as:

  • Connector name
  • ES URL
  • Maximum tasks
  • ES index name
  • Doc type
  • Ignore Document ID
  • Descriptions
  • Data streams
  • Advanced Settings (optional)

JDBC sink connector

Selecting the JDBS sink connector will require the following details:

  • Connector name
  • Maximum tasks
  • JDBC connection  URL
  • JDBC connection  user
  • JDBC connection  password
  • Table name
  • Descriptions
  • Data streams
  • Advanced Settings (optional)

There are 3 actions for all the connectors listed: View, Edit, and Delete.

View Connector

By clicking on the Datastore connector name, it shows the connector details where you can also see the total Data (messages read and sent). There are two tabs under the view option:

  1. DataStore Connectors Info
  2. Metrics

DataStore Connectors Info

Here, the Datastore Connector details are visible, and you can also configure the advanced settings options from here.

You can perform the following action:

  • Start: Start the connector.
  • Stop: Stop the connector.
  • Restart: Restart the connector.


You can see the list of metrics under this tab.

Edit Connector

It will allow you to configure the connector configurations.

After making the desired changes click on Save.

Delete Connector

Select the Datasource Connector you want to delete and click on the Delete icon.

Click on the Delete button to confirm the delete action.

The selected DataSource Connector will be deleted and removed from the list.

Further Reading

  1. I/O Streams Configuration
  2. Data Pipeline Configuration


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