#Scalability & reliability

Media

Tactics and strategies for scalable robust intelligent systems

Lecture by Carl Hewitt

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Deploying Elixir on Docker

Lecture by Vasu Adari and Harsh Balyan

Deploy Elixir on Docker Vasu Adari Scripbox. Deploying Elixir application has always had its complexities. But with the 'releases' support introduced in Elixir v1.9, it has become seamless. Since everybody likes containerising their apps, we'll also try to containerise our releases and deploy on to our most loved cloud service(AWS).

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Consensus Protocols in OTP

Lecture by Daniel Szoboszlay

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Four patterns to save your codebase and your sanity

Lecture by Marcelo Lebre

(codebase) Scalability, Productivity Marcelo Lebre Scaling a codebase balance of vertical horizontal approaches. Independently if you choose domain-driven design, hexagonal or simple MVC you can add more files or keep increasing the ones you have. McCabe's cyclomatic complexity is that functions and methods that have the highest complexity also contain the most defects. Handlers, Services, Finders and Values

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Graceful shutdown in Elixir - try not to drop the ball

Lecture by Pawel Szafran

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Adventures in High Performance Logging

Lecture by Ryan Resella

Massive Log Throughput John Mertens Change.org. What do you do when you need to write to a log in your Elixir app? Use Logger, of course! But what happens when you reach its limits? This talk uses a real-world example to explore what happens when your system scales past the tools that come with the BEAM. We'll build our way from Logger, to disk_log, to a custom GenStage pipeline, all the while striving for the highest performance solution.

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Customer retention and how to avoid double billing

Lecture by Bryan Hunt

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Observability for Elixir microservices

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BEAM and Kubernetes: Better together?

Lecture by Cory O'Daniel

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A p2p network for consumer devices

Lecture by Marc Nijdam

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Elixir vs Scala

Lecture by Ludwik Bukowski

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