Live Demo

To demonstrate real-world use of Transac AI, the live demo system currently is configured such that around 4 new transactions are injected every minute, and a new insights generation request is submitted to Workload Manager Service (WMS) every 15 minutes.

The ability to showcase these transactions being injected and the insights being generated in real-time is under development. In the meanwhile, below you can see some screenshots displaying the working of the demo behind the scenes.

Simulating Transactions

The below screenshot from AWS CloudWatch (opens in a new tab) displays logs from one of the recent runs of the Lambda job that injects transactions into the records database.

Transac AI - Demo Transactions Injector Lambda Logs

The below image displays how the transactions injector lambda job publishes job status to AWS SQS queue. In case of an error, this queue can be used to trigger a notification to the concerned team or to stop demo insights generation pipeline.

Transac AI - Demo Transactions Injector SQS Queue

Submitting Insights Generation Requests to WMS

The below screenshot from AWS CloudWatch (opens in a new tab) displays logs from one of the recent runs of the Lambda job that uses gRPC to submit a new insights generation request to the core Workload Manager Service (WMS) of Transac AI project that runs on Google Kubernetes Engine (GKE) (opens in a new tab).

Transac AI - Demo Insights Generation Request Lambda Logs

Generated Insights

The below screenshot is from the Supabase (opens in a new tab)-hosted PostgreSQL database that stores the generated insights for this demo. This screenshot displays an example of one of the generated insights.

Transac AI - Demo Insights Database

For more information on the pipeline behind the generation of insights, check the Insights Generation page.