Proof Of Concept
Proof of concept, also known as proof of principle, is a realization of a certain idea, method or principle in order to demonstrate its feasibility, or viability, or a demonstration in principle with the aim of verifying that some concept or theory has practical potential.
The utilization of Release Train Engineering, powered by cutting-edge AI-based Logic Apps, aims to revolutionize and streamline the sales process. This automation focuses specifically on the crucial stage of lead generation for DevSecOps Contracts. By leveraging such advanced technologies, not only can we increase efficiency and reduce manual intervention, but we can also significantly enhance the accuracy of our lead-generation process. This ultimately leads to improved conversion rates and greater profitability, making it a powerful tool in the ever-competitive business landscape.
GCP OAuth to process the leads in the system for the manually passed leads. Using the Google toolkit and the Json to repopulate the leads.
AZURE LOGIC APPS
Serverless State Machine
Run the state machine using the existing connectors in the UK South data region.
Database to storage the leads for the marketing not to spam the same recruiter.
Gmail, Google Suite tools to be used to send emails to recruiters
Infrastructure As Code
Run powershell scripts
Automated scripts to create the link for the diagnostics for the logic apps to connect them to storage and Event Hub
Instant messaging to do the continuous integration.
Practical implementation of the API tools hosted in Azure marketplace for the state machine
Multi functuion monitoring
Logging into the same workspace to be able to monitor 100+ logic apps to coordinate the workflow
Azure, Functions are used to do complex data manipulations and use the modern languages where we need to use the libraries that are not available for the state machine
Create custom cover letter
Text Analytics using the GPT function to be able to create a custom response.
Storage for the persistence of the system for the logic apps coordination for the log analytics debugging.
Debug the text service
Search Service used to debug the GPT output.
Showing the performance metrics for the state machine
Smart Detector Rule
Practical flagging on the data that is being provided
Persistance for the leads
SQL Database is used to store the lead information.
Azure Data Explorer
Azure Data Explorer to investigate the logs generated by the event hub.
EventHub is used to coordinate multiple logic apps at the same time. Be able to diagnose at realtime and have the logs for the services that is not running as expected.