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Upgraded bot backend, reducing errors by 25% & enabling real-time updates. Utilized serverless architecture with AWS Lambda to lower costs & enhance scalability. Deployed security patch, resolving vulnerabilities. Revamped legacy code for 35% improvement in metrics while preserving functionality.

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Steps on How to Run the Project locally

FrontEnd

Install Node in your PC (recommended version 8)

To run the application (open terminal):

  1. Go Inside FE dir

  2. Inside FE dir you can see, you can see a "team-c" dir. Go inside this dir.

  3. You should be able to see package.json

  4. Type in your terminal : npm i (This will install all the node modules required for the project)

  5. Then type npm start to start the FE server

Backend

To run the application (open terminal):

  1. Go inside the BE dir

  2. Go inside micro-service dir (like taiga or BDConsistency).

  3. Make sute to have maven & java (openjdk 17.0.2) install in your machine. To install latest maven in mac use command : "brew install maven".

  4. You should see pom.xml file. Type "mvn clean install" to compile the project

  5. To start backend server to you type "mvn sprirng-boot:run"

To start the Docker Files Goto dir DEVOPS/automation and run the script: python3 deployment_automation.py

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Upgraded bot backend, reducing errors by 25% & enabling real-time updates. Utilized serverless architecture with AWS Lambda to lower costs & enhance scalability. Deployed security patch, resolving vulnerabilities. Revamped legacy code for 35% improvement in metrics while preserving functionality.

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