AI-Powered Software Testing Services by QASource

Our client’s mission was to give freedom to developers, QA, and associated team members so that they can handle the processes at their end easily. Currently, all teams are dependent on DevOps. However, to effectively deliver tasks, they require a mechanism that should be simple to use, easy to manage, and does not require deep technical expertise.

As we began working with the client, we ran into several challenges:

• The users (Dev/QA team members) had to log in to the AWS console every time to execute the CodeBuild job
• The job required multiple environment variables at run-time and all these variables had to be remembered
• They required separate accounts per engineer to execute the job

To address the above-mentioned challenges, QASource experts offered the following solutions to trigger easy deployment using Slack and AWS commands:

• Set up infrastructure using CloudFormation
• Designed a Lambda function in Node.js and placed the same in the AWS S3 bucket
• Created a private Slack channel and added the AWS chatbot application.
• Execute the AWS CLI commands from the private Slack channel

• Anyone added to the Slack channel will be automatically eligible for running the AWS CLI commands and in the same way, if anyone is removed from the channel then he/she cannot trigger the command. Hence, the authorization becomes super easy and efficient
• Minimal dependency on the DevOps team for the application deployment
• Teams without expertise in AWS can run the CI/CD pipeline easily
• The client doesn’t have to manage multiple users' accounts on AWS
• Users (Dev/QA team members) need not to log in to the AWS console to trigger the CodeBuild job