Concurrency Best Practices in Elixir

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Revision as of 14:46, 3 December 2023 by Elixirfan (talk | contribs) (Created page with "== Concurrency Best Practices in Elixir == Concurrency in Elixir allows for efficient utilization of modern hardware, maximizing performance and scalability of Elixir applications. This article presents a set of best practices to follow when dealing with concurrency in Elixir. === Isolate mutable state === === Use message passing === === Design for fault tolerance === === Avoid blocking operations === === Utilize parallelism === === Handle backpressure === === Im...")
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Concurrency Best Practices in Elixir[edit]

Concurrency in Elixir allows for efficient utilization of modern hardware, maximizing performance and scalability of Elixir applications. This article presents a set of best practices to follow when dealing with concurrency in Elixir.

Isolate mutable state[edit]

Use message passing[edit]

Design for fault tolerance[edit]

Avoid blocking operations[edit]

Utilize parallelism[edit]

Handle backpressure[edit]

Implement supervision trees[edit]

Monitor and handle process terminations[edit]

Utilize OTP behaviors[edit]

Use GenStage for demand-driven stream processing[edit]

Use Task for lightweight asynchronous operations[edit]

Leverage GenServer for stateful server processes[edit]

Conclusion[edit]

By following these best practices, Elixir developers can harness the power of concurrency and build robust, scalable applications. With Elixir's built-in concurrency primitives and the wealth of OTP behaviors, developers have the tools to create performant and fault-tolerant systems.

See also[edit]