nervIO, a low-code/no-code solution developed by HCL Technologies for a rapid development of event processing data pipelines for kafka events. It is compatible with all flavors of kafka runtime, including AWS Managed Streaming for Kafka. It is packaged as container solution and deployed in on-premise and the cloud environments.

nervIO developed with composable architecture using open-source technologies and it has a rich User Interface for creating and managing the data pipelines. The User Interface provides a development environment in orchestrating data pipelines and provides consolidated view of the data pipelines created. With the in-built DevOps capabilities the User Interface helps to generate the runtime artifacts of nervIO engine for each environment.

nervIO core processing engine supports good number of event processing patterns to perform activities like, event validation, event join and event aggregation. Also it does perform activities like, event validation and event enrichment for event data processing. It is a pluggable solution to perform data validation and data enrichment. It is supporting rule engines like Drools, XSLT and Regular Expression (RegEx) in performing the validations and enrichments. It has enabled with distributed tracing capabilities to trace event/stream processing and uses open telemetry standard to makes easy to integrate with any Open telemetry tools to enable observability aspect for the event/stream processing solution.

Advantages of nervIO

No-vendor lock, nervIO is developed with open-source technologies, hence there is No Vendor lock and free to use for any kafka runtime platform.

Early benefits, nervIO being the low-code/no-code solution, It is helps for rapid development of event-driven data pipelines to reduce time to market for early benefits.

Platform independent, the solution is a container packaged deployment unit, hence it makes easy to deploy in on-premise and cloud environments.

Where to use, following are the scenarios where nervIO can be used

1. Rapid development of data pipeline with real-time event validation
2. Generate Real-time analytical dashboard
3. Data enrichment of fine-grained event data to a business event