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Languages & runtimes · #elixir
Learn how to use Phoenix LiveView Streams to handle large data collections without exhausting server memory or slowing down WebSocket updates.
Design Elixir supervision trees as explicit trust boundaries. Isolate unrelated subsystems under separate top-level supervisors, choose restart strategies that match failure correlation, and monitor restart intensity to avoid cascading outages.
Learn how to group Repo operations with Ecto.Multi, capture validation errors, avoid pool exhaustion, and build reliable transactional workflows in Elixir apps.
Stop duplicating state between your API and frontend. Learn how Phoenix LiveView uses server-side processes and WebSockets to handle real-time UI with minimal JavaScript.
Ecto.Multi replaces nested transaction callbacks with a declarative pipeline of named steps that share an accumulator, giving you atomic rollback, precise error tuples, and testable operations — without callback hell.
Ecto.Multi lets you chain inserts, updates, deletes, and custom functions into a single atomic transaction. Learn how to build a Multi, handle errors, use nested transactions, and avoid common pitfalls with clear code examples.
Learn how to use Ecto.Multi to handle complex, atomic database transactions in Elixir, ensuring data integrity while maintaining composable and testable code.
A diagnostic guide for Elixir GenServer synchronous timeouts, growing mailboxes, and cascading backpressure in supervised systems.
Ecto.Multi gives you atomic database writes, but external side effects aren't rolled back. Use a commit-then-act pattern to keep your data consistent.
phoenix
ecto