Deploying a production-ready Kubernetes cluster on AWS EKS traditionally required significant expertise and time. However, with modern tools and AI assistance, this process has become significantly streamlined. By utilizing AI tools like ChatGPT or IDEs like Cursor, users can generate Terraform code for an EKS cluster in just minutes.
There are three key approaches to deploy Kubernetes on AWS:
- AI-Powered Infrastructure (ChatGPT) emphasizes quick prototyping with minimal knowledge.
- IDE-Assisted Development (Cursor) offers real-time feedback and assistance during code development, suitable for experienced platform engineers.
- Agentic Platform (StarOps) automates the entire deployment lifecycle in about 10 minutes, requiring no deep infrastructure knowledge.
Choosing the best approach depends on team expertise and project goals. Each method can significantly reduce setup time and complexity, allowing teams to focus more on application delivery than infrastructure management.
