ABOUT PRATHAMESH
I find the edge cases in deployment pipelines weirdly fascinating.
I am a B.Tech Computer Science graduate specializing in cloud infrastructure automation, Infrastructure as Code (IaC) with Terraform, and serverless architectures on AWS.
My core philosophy centers on building automated deployment pipelines that eliminate human error. Whether provisioning AWS Lambda endpoints, configuring DynamoDB databases, or writing CI/CD workflows in GitHub Actions, I focus on system reliability, speed, and cost efficiency.
Automate before scaling
Manual deployments don't scale. Everything must be defined as code in Terraform or CloudFormation before adding traffic.
Measure before trusting
Opinions don't matter in infrastructure. P99 latency, error rates, and CloudWatch metrics dictate deployment decisions.
Simplify before adding
The best infrastructure is the one you don't have to manage. Prefer serverless Lambda and DynamoDB over heavy VMs.