Gain insights into data processing and concurrency in Elixir. Explore GenServer, GenStage, Flow, and Broadway to enhance performance, set up pipelines, and handle increased workloads efficiently.

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Most engineers don’t think that concurrency is distinct from programming. Data processing includes transforming information in some way, like reporting, data aggregation, or analytics. On the other hand, concurrency involves significantly improving performance.

This course is designed to help you navigate the world of concurrency tools available in the Elixir ecosystem. You’ll explore popular modules and libraries like GenServer, GenStage, Flow, and Broadway. You’ll be able to ingest data, set up pipelines, and run concurrent processes with Elixir.

By the end of the course, you’ll have a wide range of new techniques to simplify your product, improve code performance, and make your application more resilient to increased workloads.

Concurrent Data Processing in Elixir

# Types of supervisor strategies

We left one question unanswered. We used a setting called `:strategy` with a value of `:one_for_one` when we created the `DynamicSupervisor` and `Supervisor` processes. When creating a supervisor from scratch, we have the following supervisor strategies available:

* `:one_for_one`

* `:one_for_all`

* `:rest_for_one`

They tell the supervisor how to manage child processes that fail.

## The `one_for_one` strategy

So far we’ve used the `:one_for_one` strategy. This is great when each child process can be restarted independently without impacting other sibling processes.

Learn the different supervisor strategies used in handling child processes.

Getting Started

Easy Concurrency with the Task Module

Long-Running Processes Using GenServer

Data Processing Pipelines with GenStage

Process Collections with Flow

Data Ingestion Pipelines with Broadway

Concluding the Course

Supervisor Strategies

Types of supervisor strategies