Building Production MLOps: Why I Started This Blog

Welcome to Build MLOps! This is where I'll share practical insights from building machine learning systems in production.

What You'll Find Here

I'll be covering:

• Real-world MLOps patterns that actually work in production
• Tool comparisons based on hands-on experience
• Architecture decisions and their trade-offs
• Cost optimization strategies for ML infrastructure

Topics I'll Cover

Model Deployment

From notebook to production - the right way.

Monitoring & Observability

Because models drift and things break.

Infrastructure as Code

Terraform, Kubernetes, and cloud-native ML.

MLOps Tools

Honest reviews of tools like MLflow, Kubeflow, and more.

Let's Build Together

Follow along as I share what I've learned from deploying models that serve millions of predictions daily.

Stay tuned for deep dives into:

• Building resilient ML pipelines
• Scaling inference services
• Managing experiment tracking
• And much more!