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Frameworks & web · #akka
Learn how to migrate Akka actors to the Typed API for compile‑time message safety, with a concrete counter example, migration steps, and trade‑offs.
Choosing between Akka's tell and ask patterns determines whether your actor system stays responsive or blocks under load. This post explains the overhead of ask, when tell is sufficient, and how to verify the impact with a profiler.
Stop building manual routing tables for distributed state. Learn how Akka Cluster Sharding automates entity distribution and memory management through passivation.
Decide whether Akka Cluster Sharding fits your stateful actor service, with configuration, an Order entity example, and operational trade-offs.
Configure Akka Cluster Sharding to ensure exactly one actor instance per entity ID across a JVM cluster, set extraction functions, start ShardRegion, and verify distribution and rebalancing.
Stop fighting lock contention. Learn how Akka's Actor Model uses mailboxes and sequential processing to manage shared state safely without synchronized blocks.
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.
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