adelixir.tar.gz

BeliefStructure

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Umbrella Projects

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EchoServer-Java

Distillery

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Elixir is a relatively new framework but shows rapid growth due to its flexibility as a functional, concurrent, distributed programming language.

This course is a practical guide to adopting an Elixir-based technology stack for distributed web applications. Engineering managers will find helpful guides on upskilling and cross-skilling their teams, and technical leads will grasp the meaningful differences between Elixir and traditional stacks. The course moves from high-level concepts such as staffing, code management, and legacy systems to developing your Elixir environment with a walkthrough of making the functional transition, distributed Elixir, and integrating external code. You’ll wrap up with deployment and maintenance functions, assessing performance, and finalizing the application.

By the end of this course, engineering managers will be prepared to tackle the unique challenge of migrating web applications to Elixir.

Adopting Elixir for Software Engineering Leads & Managers

We’re coming to the end of the road in our adoption journey, but there’s still some work to do. After we’ve decided how to deploy the application, it’s time to shift our focus to keep things running quickly and uniformly. That task will take us into gathering metrics for performance analysis. Before we dive into tools, let’s talk a bit about why we need to do so.


Learn about why the performance of our application matters and some tools to assess the performance.

Introduction to Metrics and Performance Expectations

Introduction

Three Adoption Stories

Concept: Team Building

Concept: Ensuring Code Consistency

Concept: Legacy Systems and Dependencies

Development: Making the Functional Transition

Development - Distributed Elixir

Development - Integrating with External Code

Production - Coordinating Deployments

Production - Metrics and Performance Expectations

Production - Making Your App Production Ready

Conclusion

Appendix

Introduction to Metrics and Performance Expectations