How a Greenfield Customer Achieved Rapid Production Readiness Automation and AI

Accelerating Infrastructure Setup and Automation

A greenfield customer aimed to establish a robust infrastructure that could facilitate the automatic and intelligent building and deployment of applications.

The primary goal was to take the product to market within 3-4 months of starting the project. In development roadmap terms, the DevOps team needed to set up a Kubernetes-based microservice architecture, implement automated CI/CD, automate infrastructure provisioning (IaC), set up logging and monitoring, and make the product production-ready in terms of high availability, security, and performance.

The challenge was to create an environment that could seamlessly transition to production while adhering to best practices in application security and performance optimization.

The Challenge: Building a Future-Proof, Automated Infrastructure

• Need for automated and intelligent CI/CD processes.

• Enhancement of application security and performance.

• Rapid and efficient transition to a production-ready state.

The customer faced the complex task of setting up a sophisticated infrastructure in a new AWS account that not only supported continuous integration and deployment (CI/CD) but also ensured high security and scalability. The goal was to create an environment that minimized manual intervention while providing robust performance and security enhancements.

Implementing a Kubernetes-Based CI/CD Pipeline

We implemented a comprehensive solution utilizing AWS services and Kubernetes to establish a fully automated and secure infrastructure. The key elements of the solution included:

• Kubernetes and ArgoCD: Set up a Kubernetes-based infrastructure using AWS EKS and ArgoCD to manage and automate CI/CD pipelines, ensuring a streamlined deployment process with minimal manual oversight.

• Dedicated DEV and PRD Environments: Created separate development and production environments, each adhering to the AWS Well-Architected Framework to guarantee security, scalability, and performance.

• Automated Code Reviews and Monitoring: Leveraged AWS AI services such as DevOps Guru and CodeGuru for continuous code quality improvement and operational insights, providing proactive monitoring and automated reviews to enhance application performance.

Deploying Advanced CI/CD and Infrastructure Solutions

Over a span of just one month, the customer, in collaboration with our team of AWS experts, set up a cutting-edge CI/CD pipeline and infrastructure. The key steps included:

• AWS EKS and ArgoCD Setup: Deployed a Kubernetes-based cluster using AWS EKS and integrated it with ArgoCD for continuous delivery, allowing for automated and repeatable deployment processes.

• Environment Provisioning: Established dedicated DEV and PRD environments, ensuring each environment was secure and scalable, with automated provisioning processes to reduce manual workload and increase efficiency.

• Proactive Monitoring and Reviews: Integrated AWS AI services for continuous monitoring and intelligent code reviews, enabling the company to proactively identify and resolve issues, improving both code quality and operational performance.

The setup included a comprehensive testing phase to ensure that the infrastructure met all security and performance requirements, and provided a seamless transition to production with no downtime.

• Automation is crucial for efficiency: Implementing automated CI/CD processes significantly reduces manual workload and accelerates deployment timelines.

• Security and scalability go hand in hand: Ensuring that the infrastructure is secure and scalable is essential for supporting future growth and maintaining high performance.

• Continuous monitoring enhances performance: Leveraging AI-driven monitoring and code review tools provides valuable insights and helps maintain code quality and operational efficiency.

• Regular reviews ensure robustness: Conducting AWS Well-Architected Reviews on workloads is essential for maintaining a robust, secure, and efficient infrastructure, aligning with best practices and identifying areas for improvement.

A Blueprint for Future Automation and Scalability

This case study highlights the successful deployment of an automated, Kubernetes-based infrastructure that enhances application security, scalability, and performance. By leveraging AWS services and advanced CI/CD practices, the customer has established a robust foundation for future growth, ensuring that its infrastructure is capable of meeting the evolving demands of modern applications.