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One of the main super powers of Elixir (and other BEAM languages) is the built-in functionality for clustering nodes and communicating transparently across the cluster. Any distributed systems normally come with serious disclaimers. It’s very hard to get synchronized state across a cluster right, avoiding corrupted states during net splits or unreliable networks, and dealing effectively with rolling deploys and mismatching versions of code. But that shouldn’t discourage developers. There’s a wide range of use cases for distributed Elixir, also known as
disterl. It’s most effective when some data loss or corruption is permissible. Starting in a cluster-enabled configuration is crucial, with practical examples provided for launching nodes in distributed mode. Furthermore, building on top of the cluster involves tracking the state of each connected node to manage dynamic deployments. The article also hints at future posts exploring common use cases like consistent rate limiting across nodes.
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