In our upcoming webinar, Andriy Okhrimets, CTO at Svitla Systems, will share his rich experience based on working with 40+ startups which earned him a front-row seat to the successes and failures that make or break a startup.
A short video where we walk through the basics of the actor model writing an actor in Java with the new Actor APIs Akka 2.6
Today’s applications are expected to support a multitude of devices, employ hybrid cloud deployments, persist petabytes of data, deliver millisecond response time and have near-perfect reliability. Traditional patterns and practices for enterprise Java application development simply can’t support these demands, or are so complicated that entire systems can be brought down by single points of failure.
Why have stream-oriented data systems become so popular, when batch-oriented systems have served big data needs for many years? Batch-mode processing isn’t going away, but exclusive use of these systems is now a competitive disadvantage.
Akka Streams and its amazing handling of streaming with back-pressure should be no surprise to anyone. But it takes a couple of use cases to really see it in action - especially in use cases where the amount of work continues to increase as you’re processing it.
Most likely, your job is heavily focused on helping your organization modernize for the digital era. As the days of purely Object-Oriented Programming and related frameworks come to a close, enterprises migrating to distributed, cloud infrastructures are embracing a different approach: the Actor Model.
Since its stable release in 2016, Akka Streams is quickly becoming the de facto standard integration layer between various Streaming systems and products. Enterprises like PayPal, Intel, Samsung and Norwegian Cruise Lines see this is a game changer in terms of designing Reactive streaming applications by connecting pipelines of back-pressured asynchronous processing stages.