Akka.Serialization.Hyperion 1.5.0-alpha2

Akka.NET

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Akka.NET is a .NET port of the popular Akka project from the Scala / Java community. We are an idiomatic .NET implementation of the actor model built on top of the .NET Common Language Runtime.

Akka.NET is a .NET Foundation project.

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How is Akka.NET Used?

Akka.NET can be used in-process or inside large, distributed real-time systems; we support a wide variety of use cases.

Akka.NET can be used to solve the following types of problems:

  1. Concurrency - Akka.NET actors only process messages one-at-a-time and they do so in first in, first out (FIFO) order; this means that any application state internal to an actor is automatically thread-safe without having to use locks or any other shared-memory synchronization mechanisms.
  2. Stream Processing - Akka.NET actors and Akka.Streams make it easy to build streaming applications, used for processing incoming streams of data or incoming streams of live events such as UI or network events inside native applications.
  3. Event-Driven Programming - actors make it easy to build event-driven applications, as actors' message-processing routines naturally express these types of designs.
  4. Event Sourcing and CQRS - Akka.Persistence, used by actors to make their state re-entrant and recoverable across restarts or migrations between nodes, natively supports event sourcing. Akka.Persistence.Query can be used to compute CQRS-style projections and materialized views from Akka.Persistence data.
  5. Location Transparency - Akka.Remote makes it simple for actors in remote processes to transparently communicate with each other.
  6. Highly Available, Fault-Tolerant Distributed Systems - Akka.Cluster, Akka.Cluster.Sharding, and other tools built on top of Akka.Cluster make it possible to build highly available and fault-tolerant distributed systems by leveraging peer-to-peer programming models with topology-aware message routing and distribution.
  7. Low Latency, High Throughput - Akka.NET aims to be low latency and high throughput, processing 10s millions of messages per second in-memory and hundreds of thousands of messages per second over remote connections.

Where Can I Learn Akka.NET?

You can start by taking the Akka.NET Bootcamp, but there are many other great learning resources for Akka.NET Online.

Build Status

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Install Akka.NET via NuGet

If you want to include Akka.NET in your project, you can install it directly from NuGet

To install Akka.NET Distributed Actor Framework, run the following command in the Package Manager Console

PM> Install-Package Akka
PM> Install-Package Akka.Remote

And if you need F# support:

PM> Install-Package Akka.FSharp

Builds

Please see Building Akka.NET.

To access nightly Akka.NET builds, please see the instructions here.

Support

If you need help getting started with Akka.NET, there's a number of great community resources online:

If you and your company are interested in getting professional Akka.NET support, you can contact Petabridge for dedicated Akka.NET support.

No packages depend on Akka.Serialization.Hyperion.

Akka.NET v1.5.0-alpha2 is a maintenance release for Akka.NET v1.5 that contains numerous performance improvements in critical areas, including core actor message processing and Akka.Remote. Performance Fixes** [remove delegate allocation from `ForkJoinDispatcher` and `DedicatedThreadPool`](https://github.com/akkadotnet/akka.net/pull/6162) [eliminate `Mailbox` delegate allocations](https://github.com/akkadotnet/akka.net/pull/6162) [Reduce `FSM<TState, TData>` allocations](https://github.com/akkadotnet/akka.net/pull/6162) [removed boxing allocations inside `FSM.State.Equals`](https://github.com/akkadotnet/akka.net/pull/6196) [Eliminate `DefaultLogMessageFormatter` allocations](https://github.com/akkadotnet/akka.net/pull/6166) In sum you should expect to see total memory consumption, garbage collection, and throughput improve when you upgrade to Akka.NET v1.5.0-alpha2. Other Features and Improvements** [DData: Suppress gossip message from showing up in debug log unless verbose debug logging is turned on](https://github.com/akkadotnet/akka.net/pull/6089) [TestKit: TestKit automatically injects the default TestKit default configuration if an ActorSystem is passed into its constructor](https://github.com/akkadotnet/akka.net/pull/6092) [Sharding: Added a new `GetEntityLocation` query message to retrieve an entity address location in the shard region](https://github.com/akkadotnet/akka.net/pull/6107) [Sharding: Fixed `GetEntityLocation` uses wrong actor path](https://github.com/akkadotnet/akka.net/pull/6121) [Akka.Cluster and Akka.Cluster.Sharding: should throw human-friendly exception when accessing cluster / sharding plugins when clustering is not running](https://github.com/akkadotnet/akka.net/pull/6169) [Akka.Cluster.Sharding: Add `HashCodeMessageExtractor` factory](https://github.com/akkadotnet/akka.net/pull/6173) [Akka.Persistence.Sql.Common: Fix `DbCommand.CommandTimeout` in `BatchingSqlJournal`](https://github.com/akkadotnet/akka.net/pull/6175)

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