Mike Stefaniak
Employers on the program
- 2019–2026Amazon Web Services6 talks
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | breakout | The future of Kubernetes on AWS as AWS Kubernetes has become a standard for organizations looking to modernize their application portfolios. AWS developed Amazon EKS to make Kubernetes more…Show lessKubernetes has become a standard for organizations looking to modernize their application portfolios. AWS developed Amazon EKS to make Kubernetes more accessible to organizations of all sizes, helping them focus on what matters most for their businesses. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | breakout | The future of Kubernetes on AWS as AWS Kubernetes has become a standard way for organizations looking to modernize their application portfolios. AWS developed Amazon EKS to make Kubernetes more…Show lessKubernetes has become a standard way for organizations looking to modernize their application portfolios. AWS developed Amazon EKS to make Kubernetes more accessible to organizations of all sizes, helping them focus on what matters most for their businesses. | Video |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | breakout | High-performance generative AI on Amazon EKS as AWS Generative AI models have opened up new possibilities in computing, but deploying them effectively can be challenging. Many are turning to open source tools on…Show lessGenerative AI models have opened up new possibilities in computing, but deploying them effectively can be challenging. Many are turning to open source tools on Kubernetes for solutions. | Video |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | breakout | Navigating the future of AI: Deploying generative models on Amazon EKSGenerative AI applications are fundamentally transforming how businesses interact with and serve their customers. And many customers are turning to open source…Show lessGenerative AI applications are fundamentally transforming how businesses interact with and serve their customers. And many customers are turning to open source tools running on Kubernetes to help accelerate their generative AI journeys. | Video |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | breakout | What’s new and what’s next with Amazon EKSThis session dives deeps into recent enhancements to Amazon EKS, a fully managed Kubernetes service. Learn how these new capabilities make it easy for you to…Show lessThis session dives deeps into recent enhancements to Amazon EKS, a fully managed Kubernetes service. Learn how these new capabilities make it easy for you to run Kubernetes on AWS and on premises and help ensure the availability and scalability of your mission-critical applications. | SlidesVideo |
| Nov 29, 2021 | AWS re:Invent 2021 | AWS re:Invent | breakout | Deep dive on Amazon EKS as AWS Amazon EKS is a fully managed Kubernetes service. This session covers recent enhancements to EKS and dives deep into the latest features. | SlidesVideo |
| Nov 30, 2020 | AWS re:Invent 2020 | AWS re:Invent | breakout | Getting up and running with Amazon EKS as AWS Amazon EKS is a fully managed service that makes it easy to deploy, manage, and scale containerized applications using Kubernetes on AWS. Join this session to…Show lessAmazon EKS is a fully managed service that makes it easy to deploy, manage, and scale containerized applications using Kubernetes on AWS. Join this session to learn about how Verizon runs its core applications on Amazon EKS at scale. | SlidesVideo |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | chalk talk | [REPEAT 1] Move your machine learning workloads to Amazon EKS as AWS With the increased importance of machine learning (ML) and artificial intelligence (AI), companies are assembling dedicated ML teams and looking to move their…Show lessWith the increased importance of machine learning (ML) and artificial intelligence (AI), companies are assembling dedicated ML teams and looking to move their ML infrastructure to Amazon Elastic Kubernetes Service (Amazon EKS). In this session, we discuss the principles and technical challenges in moving ML workloads to Kubernetes. | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Ali Saidi | 8 | — | 2026 |
| David Yanacek | 8 | — | 2026 |
| Dirk Fröhner | 8 | — | 2026 |
| Eric Johnson | 8 | — | 2026 |
| Imaya Kumar Jagannathan | 8 | — | 2026 |
| Jon Handler | 8 | — | 2026 |
| Jonathan Allen | 8 | — | 2026 |
| Julian Wood | 8 | — | 2026 |
| Kevin Fallis | 8 | — | 2026 |
| Leo Zhadanovsky | 8 | — | 2026 |
| Muthu Pitchaimani | 8 | — | 2026 |
| Neel Sendas | 8 | — | 2026 |
| Pasquale DeMaio | 8 | — | 2026 |
| Steve Blackwell | 8 | — | 2026 |
| Swami Sivasubramanian | 8 | — | 2026 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.