PinnedFurkan Atas·May 30Deploying a Custom Docker Container to AWS SageMakerAWS SageMaker is a managed service for hosting ML models behind HTTPS endpoints. It handles instance provisioning, autoscaling, blue/green…
PinnedFurkan Atas·Jun 23, 2024Data Versioning with DVC and AWS S3In the fast-paced world of machine learning, keeping track of dataset versions is crucial for reproducibility and collaboration. This is…
PinnedFurkan Atas·Aug 4, 2025ML Paper Implementation — Attention is All You NeedOne of the best ways to improve your ML skills is by implementing a paper from scratch. You take the idea and implement it by assembling…
PinnedInDevOps.devbyFurkan Atas·Apr 9, 2024Scaling AI Inference in Kubernetes with Custom Metrics: A GuideScaling applications efficiently in Kubernetes can often feel like trying to hit a moving target. It becomes even more challenging when…
Furkan Atas·Sep 4, 2025Monitoring NVIDIA GPU Metrics on Kubernetes with PrometheusRunning GPU workloads on Kubernetes is common for AI, ML, and deep learning applications, but monitoring those workloads isn’t always…
