Aditi Wadekar

Recently set up EKS cluster on AWS using terraform. The script also created the networking components like VPCs, subnets, internet gateways, transit gateway, and NAT, which handled the entire networking solution. In terms of the database, the script managed the RDS database in private subnets and enabled logging and monitoring. Amazon CloudFront and ElasticCache were also created in one click.

• Coordinated with developers to build up Docker images for multiple tech stacks like Node.js, Spring Boot, and Angular. Built and pushed images to Nexus. Created helm carts to deploy the application to the Kubernetes environment.

• Created CI/CD pipeline using AWS code commit and Code Pipeline to push microservices to infrastructure.

• Integrated the CICD pipeline with security tools to validate images and applications for vulnerabilities using checkmark and SonarQube.

Worked on the infrastructure setup project for AlphaSense. I acted as a DevOps engineer who automated the setup, which deployed microservices in Kubernetes nodes on the AWS cloud. Interacted with developers and, based on the requirements, Dockered various tech stack applications. Created a CI/CD pipeline using Jenkins.

The pipeline builds the Docker images and integrates with security tools such as JUnit test cases, SonarQube, Checkmarx, and Twistlock, which scan images for vulnerabilities. The artifacts were pushed to the nexus. If failures occurred, the application was deployed in Kubernetes with no downtime and rollback to the previous version.

Created Terraform scripts to push logs and monitoring metrics to CloudWatch and generate alerts via email. In addition, using the script setup database and its backup, CloudFront, Route 53, and ALB, along with instance-level and service-level auto-scaling, was done using Terraform. AWS SSO was integrated with the Azure Active directory.

I took over this project around a couple of years ago. I automated the manual set up of Kubernetes platform to one-click deployment using IaC tools like Terraform; this helped the team save up a lot of time and enabled them to provide this infrastructure in any of the regions in the cloud within a few minutes. The infrastructure was parameterized and modularized so that teams could give the range for networking and provide parts and credentials. Spin up database modules in private regions.

• I helped the team Dockerize their applications and set up CI/CD pipelines integrating security tools. This gave developers and testers a smooth experience integrating code and quickly deploying changes to various environments.

• I supported the team in integrating the EFK stack for logging and analysis. This helped developers to view their logs on the Kibana dashboard for respective environments. In Addition, integrated the cluster with Prometheus and Grafana to view and monitor the metrics.

• The Kubernetes resources were spun up with helm to prevent manual intervention and support automation.

As a DevOps engineer, my role involved configuring the CI/CD pipeline utilizing tools such as Git, Jenkins, Docker, and containerized platforms like Amazon ECS.

Initially, I dockerized the .NET application and built the Docker image, which was then pushed to the image repository. Multiple image versions were created to accommodate different application requirements, enabling developers to work on their respective .NET flavors without any difficulties.

Subsequently, the Docker image was retrieved and deployed to the ECS Fargate cluster, which is serverless.

The entire pipeline process was executed seamlessly, facilitating the team to achieve their goals quickly and efficiently.