Akka.NET

@AkkaDotNET

Canonical actor model implementation for .NET with local + distributed actors in C# and F#. Apache 2.0 licensed and free to use.
learnakka.net

The Cloud getakka.net Joined February 2014

359 Following 4.3K Followers 1.9K Posts

Latest posts 5

Akka.NET @AkkaDotNET 2h

Your actors sleep. Their reminders don't.

Akka.Reminders wakes sharded @AkkaDotNet entities on a durable schedule — even after passivation or a restart.

Live tomorrow, 12 PM CT 👇
youtube.com/watch?v=SqvtWg…

www.youtube.com Akka.Reminders for Durable Actor Scheduling - Nov 2026 Akka.NET... Welcome to the November 2026 Akka.NET Community Standup! Since our ...

Akka.NET @AkkaDotNET 2h

A process manager should coordinate a long-running workflow, not perform every step itself. Persist progress, delegate work, and resume from the last successful offset after a worker failure or timeout.

petabridge.com/blog/akkadotne…

petabridge.com Real World Akka.NET Clustering: Process Managers and Long-Running Operations Real World Akka.NET Clustering: Process Managers and Long-Running Operations

Akka.NET @AkkaDotNET 5d

@AkkaDotNet v1.5.74 is out: Streams, Cluster Sharding, Persistence, and Hosting fixes.

The shared materializer no longer dies on Dispose(). Sharding handoff no longer stalls. Async handlers stay on-thread.

No new APIs, no breaking changes.
github.com/akkadotnet/akk…

Akka.NET v1.5.74 maintenance release card: Streams materializer and stage fixes, Cluster.Sharding safer handoff, Persistence async handler race, Hosting MAUI startup detection.

Akka.NET @AkkaDotNET 5d

In CQRS, a persistent actor can own the write model: validate a command, persist events, update state, then project it into a query-friendly database model. The projection is not the authority.

petabridge.com/blog/crud-to-c…

petabridge.com Migrating from CRUD to CQRS and Event-Sourcing with Akka.Persistence How we migrated Sdkbin from fragile CRUD to CQRS and event-sourcing using Akka.Persistence — and eliminated years of technical debt in the process.

Akka.NET @AkkaDotNET 6d

Akka.Streams.Kafka 1.5.73 fixes a throughput defect in partitioned consumers: ~6,200 → ~16,900 msg/s.

petabridge.com/blog/akka-stre…

Bar chart comparing Akka.Streams.Kafka CommittablePartitionedSource throughput before and after PR #550: 6,211 msg/s before, 16,287 and 16,920 msg/s after, against an unchanged CommittableSource control at roughly 18,700 msg/s.