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Languages & runtimes · #scala
Stop fighting lock contention. Learn how Akka's Actor Model uses mailboxes and sequential processing to manage shared state safely without synchronized blocks.
Scala 2's implicit keyword hid dependencies. Scala 3's given and using split declaration from request, improving readability, scoping, and compiler diagnostics. Learn how to migrate safely.
Backpressure in Akka Streams keeps data flow under control by signaling demand upstream. This guide explains how it works, shows a concrete example with buffer tuning, lists limits, and highlights common mistakes to avoid.
Akka Streams’ backpressure automatically throttles fast sources when downstream stages slow, eliminating manual flow control. Learn how to build a high‑throughput pipeline with a concrete Flow example, buffer strategies, and actionable best‑practice tips.
Hot‑spot shards in Akka Cluster Sharding can cripple performance. This guide shows how to design entity IDs, configure a custom MessageExtractor, and verify even distribution to keep your cluster balanced and responsive.
Cluster Sharding scales stateful domain entities across a cluster with minimal plumbing. This guide covers requirements, minimal design, trust boundaries, operational checks, failure modes, and when to adjust the design, with a Cassandra‑backed example.
Scala 3 separates the implicit keyword into given and using, making context dependencies explicit, type-safe, and easy to thread through application layers.
A guide to diagnosing and fixing StackOverflowError in Scala. Learn how to use @tailrec, implement accumulators, and use trampolining to move recursive calls from the stack to the heap.
Stop relying on fragile if/else blocks for domain logic. Learn how to combine Scala's sealed traits and case classes to create type-safe, exhaustive data models.
akka