Natalie Serebryakova

Staff Cloud Engineer at IN-N-OUT.CLOUD

Bio

My name is Natalie. I’m a Staff Cloud Engineer who also enjoys working on building and automating various tools that help the development teams be more productive and happy. I’m passionate about helping make infrastructure more accessible.

I love solving hard problems and “all things containers.” I enjoy improving things in the Software Release Processes for companies I work for. I also work on cost savings, cost estimations, and cost optimization tasks, helping companies with that.

Occasionally, I blog or speak at conferences. Currently, I am learning and blogging about Rust. I’m a technical mentor and AWS Community Builder. In my spare time, I hike or camp with my aussiedoodle Chai, and stand-up paddle (SUP) across the Bay.

Sessions

UNA201

AWS EKS GPU Spot Recovery Operator for ML Workloads

Room: Una | Time: 10:00 | Duration: 30

In this session I will be speaking about Kubernetes operator for AWS EKS that detects Spot interruptions on GPU nodes, triggers ML job checkpointing, and recovers training by rescheduling on available nodes. This I prepared with an idea to provide an interesting example of a repeatable workflow for maximizing GPU cost savings without losing progress on ML training jobs. The setup covered in this talk will include services AWS EventBridge, S3/EFS , IAM, and CloudWatch. I will be presenting a live example to show node interruption handling, and seamless ML job recovery using my developed solution.

Natalie Serebryakova

Staff Cloud Engineer at IN-N-OUT.CLOUD

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