Abhishek Gupta

Worked on the deployment of a food delivery app during live events. I worked as a DevOps Engineer to set up the complete infrastructure using Terraform. It involved migrating EC2 apps to Docker images and deploying the pipeline via AWS CodeBuild, CodeDeploy, and CodeCommit.

With every change committed to GitHub, the release pipeline will be triggering, pushing the updated change to dev, staging, and production (via manual approval).

The ECS had two containers running via blue-green deployment with load balancers for each app. It was deployed securely on private subnets using proper rules setup in security groups.

Overall, the infrastructure used Terraform code to deploy VPC's, subnets, ECS, task definition, Route 53, AWS CodePipeline, and more.

Set up a reporting workflow using AWS Lambda , AWS CloudWatch that runs on daily basis on all all AWS accounts added to AWS organizations to check for missing tags on all resources.

The main objective of this project was to replace the costly AWS Configuration. The project setup benefited the company as it became 100% reliable with zero downtime and the cost of execution was reduce to few dollars a day.

To automate deployment terraform was used to create all the AWS Internal Resources to smoothen the upgrade process for software development

Currently, there is no tool on the market to ensure that a security group is replicated across and region or any AWS account. At the time of migration or DR, the security group must be created manually by comparing it to existing EC2 instances or AWS services.

I worked as a freelancer for this project, which involved planning, architectural design, implementation, execution, and code deployment to AWS infrastructure.

The code was written in Python 3 using the boto3 module, with proper error handling checks. Each day the Lambda runs to collect information on the existing production and saves the information on an S3 bucket. As the data is saved in S3, it allows us to use the data to restore any DR times system.

Using CloudWatch, Cloud Monitoring, and CloudFormation, the execution, and deployment of all the resources related to it, such as IAM roles and S3 bucket policies for access, were configured.

I delivered all the components from development to production.