Real World Serverless with theburningmonk

#67: High-Performance Computing with serverless at scale with Eoin Shanaghy

Sep 6, 2022

37:42

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Episode notes

High Performance Computing at Scale

03:22

Using Lambda and Step Functions in the Atu Processor?

02:47

Lamda

01:59

Introduction

2min

Are You Going to Lift and Shift First?

3min

Is There a Big Bang in the Cloud?

3min

Dynamo D B

2min

High Performance Computing at Scale

3min

Servaless Computing on a Scaled Scale Scale Cluster

4min

Using Lambda and Step Functions in the Atu Processor?

3min

Canisis and Kanesusi - How to Scale a Big Data Cluster

3min

Is There a Way to Scale Your Workload?

3min

10.

Adbes, I'm a Big Fan of the 3000 Concurrency Burst Limit on Amde.

3min

11.

Lamda

2min

12.

Using Lamda in Tese or Thers, I've Been Doing It for a While.

2min

13.

I Think It's a Good Idea to Use Containers on the Lambda

3min

14.

A W S Bites Podcast - You're Still Looking for Talents?

2min

In this episode, I caught up with Eoin Shanaghy to talk about his work at FourTheorem, a boutique consultancy based out of Ireland. We touched on many topics, including the challenges for serverless adoption at enterprises and a super interesting client project he worked on, which involved using serverless at scale in a high-performance computing environment.

Links from the episode:

For more stories about real-world use of serverless technologies, please follow us on Twitter as @RealWorldSls and subscribe to this podcast.

Want to step up your AWS game and learn how to build production-ready serverless applications? Check out my upcoming workshops and I will teach you everything I know.

Opening theme song:
Cheery Monday by Kevin MacLeod
Link: https://incompetech.filmmusic.io/song/3495-cheery-monday
License: http://creativecommons.org/licenses/by/4.0

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Real World Serverless with theburningmonk

#67: High-Performance Computing with serverless at scale with Eoin Shanaghy

High Performance Computing at Scale

Using Lambda and Step Functions in the Atu Processor?

Lamda

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