2 min read
From notebooks to nodes: Architecting production-ready AI infrastructure
Guide to scaling AI from notebooks to production using Ray on Kubernetes, feature stores, and observability for high-throughput workloads.
3 articles
Guide to scaling AI from notebooks to production using Ray on Kubernetes, feature stores, and observability for high-throughput workloads.
Prometheus and OpenTelemetry now integrate better, with recent improvements like UTF-8 support in Prometheus 3.0 reducing past compatibility issues.
Startup infrastructure lead shares 4 years of scaling lessons. Recommends AWS over GCP for support, managed services (EKS, RDS) over self-hosting, and tools like Terraform, GitHub Actions, and PagerDuty. Advises prioritizing automation, GitOps, and cost reviews. Warns against shared databases and over-engineering.