Name: Cloud FinOps: Strategies for Optimizing Operational Costs
Start: 2024-11-12T18:00:00-08:00
End: 2024-11-12T21:00:00-08:00
Location: AWS Loft

**Schedule**

**6:00pm** Doors open - food and drinks
**6:30pm** Welcome and announcements
**6:40pm:**

* [Mike Graff](https://www.linkedin.com/in/michaelegraff/) (Infrastructure Architecture Director at Dolby Laboratories.)

* **Title**: Assemble a low-cost FinOps Toolchain using AWS native solutions

**7:20pm:**

* [Natalie Serebryakova](https://www.linkedin.com/in/login-id/)

* **Title**: Optimizing MLOps Costs: Tackling Kubernetes Challenges

**8:00pm** Networking
**8:30pm** You don't have to go home, but you can't stay here

**Talks details:**
**Title**: Assemble a low-cost FinOps Toolchain using AWS native solutions
**Description**: In this talk I’ll share how I moved our organization from an expensive third-party tool to AWS native solutions for cost allocation and cost optimization. I’ll share specifics on the tools we are using and some of the FinOps successes we’ve had.
**Bio**: Mike Graff currently holds the position of Infrastructure Architecture Director at Dolby Laboratories. He is an IT professional with over 30 years experience across the entire spectrum of IT infrastructure services: storage, compute, network and security. For the past eight years, he has been focused on Infrastructure Architecture and Strategy, especially with respect to Public Cloud.
**Socials**: [LinkedIn](https://www.linkedin.com/in/michaelegraff/) \| [Blog](https://cloudyadvice.com/about-me/) \| [Twitter](https://x.com/MichaelEGraff)

**Title**: Optimizing MLOps Costs: Tackling Kubernetes Challenges
**Description:** While presenting on this topic, I will go over the demands of machine learning workloads on Kubernetes and review the best strategies to optimize costs. I will address common issues like overprovisioning and share methods to right-size resource allocation. This talk will provide actionable suggestions, tools, and practical examples to make MLOps initiatives more efficient and cost-effective. It will be useful not only for Engineers, working supporting MLOps teams but also for any DevOps/Infrastructure engineer looking to enhance K8s cloud resources.
**Bio**: My name is [Natalie](https://www.linkedin.com/in/login-id/). I'm a Staff Cloud Engineer who enjoys building and automating various tools that help development teams be more productive and happy. I'm passionate about helping make infrastructure more accessible.
**Socials**: [LinkedIn ](https://www.linkedin.com/in/login-id/)\| [Blog](https://www.in-n-out.cloud/) \| [Twitter](https://x.com/sheopedia)

Natalie

Sean Falconer

Peter Sankauskas

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