Akka has announced new deployment options for its Akka solution and new solutions to deploy large-scale agentic AI systems for mission-critical applications. It now also allows enterprises to deploy Akka-based applications on the infrastructure of their choice.
“As the only dev framework with self-clustering architecture, the Akka framework eliminates the traditional scaling ceiling while providing autonomous recovery capabilities without platform dependencies. It allows developers to construct distributed systems deployable across any infrastructure environment, from raw hardware and virtual machines to containerised solutions and Kubernetes orchestration,” said Tyler Jewell, CEO of Akka.
New deployment capabilities
Akka is introducing two new options to facilitate building distributed systems at scale:
- Self-managed Akka nodes—Users can run clusters of services built with the Akka SDK on any cloud infrastructure. The new version of the Akka SDK includes a self-managed build option that creates services that can be executed stand-alone. Services are binaries packaged in Docker images that can be deployed in any container PaaS, bare metal hardware, VMs, edge nodes, or Kubernetes with any Akka infrastructure or Platform dependencies. Nodes have built-in Akka clustering.
- Self-hosted Akka Platform regions—Users can run their own region without depending on Akka.io control planes. Services built with the Akka SDK have always been deployable onto the Akka Platform, with Akka providing managed services through Akka Serverless and Akka BYOC offerings. The Akka Platform claims to provide fully automated operations. Both Serverless and BYOC federated multiple regions together by using an Akka control plane hosted at Akka.io.
