Elixir Mix

Challenges of Scaling and Choosing the Right Tool with Simon Zelazny - EMx 177

Jun 15, 2022

01:08:34

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Highlights

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Episode notes

Kubernetes Scalability - Is Elixir Right for You?

04:28

The Simplity Angle Is Super Important in the Beam

04:57

DynamoDB Is a Tracker Channel and It's All About Feedback Control

01:33

Introduction

5min

What Are Some Key Takeaways From Your Work at Erlang Solutions Foundation?

2min

Kubernetes Scalability - Is Elixir Right for You?

4min

Is Elixir a Better Host Than Heroku?

4min

Is an Error Condition in Node.js Really Just the Daily Bread on the Game?

4min

Is AWS a Leaky Abstraction?

4min

Elixir and the Beam Are the Best Choices, Right?

5min

Aws

3min

The Simplity Angle Is Super Important in the Beam

5min

10.

Is Presence a Problem?

4min

11.

DynamoDB Is a Tracker Channel and It's All About Feedback Control

2min

12.

Load Testing on Linux

5min

13.

How Do You Know if You Have a Bottleneck?

3min

14.

The Erlang Seller of Tricks So What Are You Doing With Erlang?

6min

15.

Are You Hiring Yes Yes We Are Hiring Please Reach Out

3min

16.

Are You Really Burning Money in the Cloud?

3min

17.

Kutukkukkubernetik Is a Native Mac Client for Kubernetes

1min

18.

You Can Enrich People With Your Picks

5min

In this episode Simon Zelazny joins the mix to talk about his experience in scaling an Elixir and Phython based service to meet a once-in-a-blue-moon demand scenario. The panel and him discuss the challenges in finding the relevant bottlenecks in non-trivial software systems - and BEAM applications in particular - and what options there are to fix those.

They also discuss pragmatism in the context of software development, and how we as software developers are not paid to write pretty code but to solve business problems, which might also mean to choose NOT to build on top of the BEAM, if circumstances demand it.

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"How NOT to Measure Latency" by Gil Tene

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