Gitlab CI pipeline for Kubernetes (AWS EKS)

The client is a rapidly growing e-commerce company that has been in the industry for over five years. The company has a web application with over 40 microservices that were manually deployed on Amazon Web Services (AWS). They were struggling with scalability and reliability issues, and the deployment process was time-consuming and error-prone.

Problem:
The client was looking for a web development company to develop a CI/CD pipeline that would automate their build and deployment process. They wanted a solution that would enable them to deploy their web application and its microservices automatically with each new code update. They also wanted to set up automated testing and integration with Gitlab, which they had been using for their code management.

Solution:
Our engineering team proposed developing a CI/CD pipeline for the client using Gitlab CI. We set up a Kubernetes cluster on AWS Elastic Kubernetes Service (EKS) to orchestrate the deployment of the microservices. We developed a custom Gitlab CI pipeline that automated the entire deployment process.

Our team developed a scalable, secure, and robust pipeline that would allow the client to deploy their application with ease. We also set up automated testing to ensure that each update was stable and bug-free before deployment. The pipeline included integration with various AWS services such as Amazon Elastic Container Registry (ECR) for container management, Amazon Simple Storage Service (S3) for static file hosting, and Amazon Relational Database Service (RDS) for database management.

Outcome:
The CI/CD pipeline that we developed enabled the client to deploy their web application and its microservices automatically with each new code update. The pipeline was reliable, scalable, and secure, and it eliminated the need for manual deployment, reducing the deployment time from hours to minutes. The client also experienced significant cost savings as a result of the automation and the use of cloud-based services.

The automated testing also helped the client improve their product quality and reduce the risk of bugs in their application. The client was very satisfied with the outcome of the project, and we have continued to work with them on additional development projects.