Frank Fan
Employers on the program
- 2024–2026Amazon Web Services4 talks
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | builders session | Amazon EKS incident response and remediation with AWS DevOps Agent as AWS When an incident hits, engineers lose time pivoting between kubectl, metrics, logs, and traces to find root cause. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | chalk talk | Optimizing Amazon EKS costs through workload analysis and observability as AWS While scaling with Karpenter, Spot instances, and Graviton processors are well-known cost-saving solutions for Amazon EKS, their effective implementation at…Show lessWhile scaling with Karpenter, Spot instances, and Graviton processors are well-known cost-saving solutions for Amazon EKS, their effective implementation at scale demands thorough workload understanding. This presentation introduces a data-driven framework for optimizing EKS costs in production environments. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | lightning talk | Empowering stateful workloads on Amazon EKS with AWS storage services as AWS Attend this session to learn proven methods for unlocking scalability, flexibility, and resiliency. Explore the integration of AWS storage services with Amazon…Show lessAttend this session to learn proven methods for unlocking scalability, flexibility, and resiliency. Explore the integration of AWS storage services with Amazon EKS to effectively run stateful applications. | Video |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | breakout | Supercharge your AI and ML workloads on Amazon ECS as AWS In the modern digital era, running artificial intelligence (AI) and machine learning (ML) workloads is essential for powering applications like image generation…Show lessIn the modern digital era, running artificial intelligence (AI) and machine learning (ML) workloads is essential for powering applications like image generation and natural language processing. In this session, learn techniques to maximize the performance and scalability of these workloads to meet dynamic demand. | Video |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Steve Kendrex | 3 | 1 | 2026 |
| Aaron Chen | 3 | — | 2026 |
| Aaron Sempf | 3 | — | 2026 |
| Aarthi Raju | 3 | — | 2026 |
| Abbas Mooraj | 3 | — | 2026 |
| Abhijeet Jangam | 3 | — | 2026 |
| Abhishek Pandey | 3 | — | 2026 |
| Abhishek Sharma | 3 | — | 2026 |
| Abhishek Srivastav | 3 | — | 2026 |
| Abilashkumar P C | 3 | — | 2026 |
| Adam Hill | 3 | — | 2026 |
| Adam Richter | 3 | — | 2026 |
| Addy Upreti | 3 | — | 2026 |
| Aditi Garg | 3 | — | 2026 |
| Aditya Challa | 3 | — | 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.