Table of contents
Akka
Build powerful reactive, concurrent, and distributed applications in Java and Scala.
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Scalability
Akka is designed to handle high concurrency and provides excellent scalability by leveraging the actor model, enabling developers to build distributed systems that can efficiently scale up or out across multiple nodes.
Resilience
Akka promotes building systems that are resilient to failures, using features like supervision strategies and self-healing, to automatically recover from errors and maintain system stability and uptime.
Concurrency
By using the actor model, Akka facilitates easier handling of concurrency, allowing developers to work with asynchronous and non-blocking message-driven communication that reduces complexities associated with multithreaded programming.
Flexibility
Akka integrates with a broad ecosystem of tools and technologies and can be easily used with various JVM-based languages such as Scala and Java, providing flexibility in designing and implementing solutions.
Event-driven Architecture
Akka supports building reactive, event-driven applications, which are responsive, maintainable, and adaptable to changing demands and requirements.
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Check the traffic stats of Akka on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
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The latest comments about Akka on Reddit. This can help you find out how popualr the product is and what people think about it.
Kotlin also has a construct for asynchronous collections/streams. Kotlin's version of AsyncSequence is called a Flow. Just as Swift's AsyncSequence builds upon prior experience with RxSwift and Combine, Kotlin's Flow APIs build upon earlier stream/collection APIs in the JVM ecosystem: Java's RxJava, Java8 Streams, Project Reactor, and Scala's Akka. - Source: dev.to / over 2 years ago
First-class distributed and multicore computing. Swift has first-class โactorsโ and โdistributedโ methods. Unison, Erlang, and Elixir are built with distributed being one of the #1 concerns. Though first-class is not super common and I don't really expect it to be because usually libraries are enough (e.g. Scala has Akka and is used WIDELY for distributed); whereas something like linear types and typed effects,... Source: about 3 years ago
Akka is a library that implements the actor model for JVM languages. Mainly in Scala, but you can use it in Java too, and maybe others. It doesn't feel as ergonomic as Elixir, but if Elixir is too "out there" for the decision makers in your case, this might be a friendlier alternative. Source: over 3 years ago
Kalix builds on the lessons we have learned from more than a decade of building Akka (leveraging the actor model) and our experience helping large (and small) enterprises move to the cloud and use it in the most time, cost, and resource-efficient way possible. - Source: dev.to / over 3 years ago
Note Akka, the Java & friends framework, is working with the actor model and have as main inspiration Erlang to mimic some features of the BEAM on top of the JVM. - Source: dev.to / over 3 years ago
If I hear about Actor model, the first thing that comes to my mind is the popular Open Source library Akka. - Source: dev.to / almost 4 years ago
I don't think that the Akka change is aimed at cloud providers. Akka is a toolkit for building highly concurrent, distributed, and resilient message-driven applications for Java and Scala [1]. It's not possible for AWS to offer their own "Akka service" the way they offered Redis through ElastiCache. This change affects companies that build software using Akka, many of which may not be software-focused. For... - Source: Hacker News / almost 4 years ago
However, if you really expect a lot of users (especially concurrent ones) to use your API, you should delve into the world of reactive programming. Use tools like RxJS (JS/TS) or Project Reactor (Java) in such a case, preferably in combination with a broker like Kafka or RabbitMQ. R2DBC is also great for a data store. Then of course if you want to go one step further, there also exists the less popular but very... Source: about 4 years ago
What you are describing is more or less the actor programming model. (If youโve heard of Akka, then youโve heard of the actor model.) Loom is an enabling technology for implementing the actor model on the (vanilla) JVM, and a lot of people are looking forward to that, including me! So thatโs a perfectly valid approach. Source: over 4 years ago
Reactive. Inspired by Functional Reactive Programming, and Elm, and The Reactive Manifesto. Though the latter is geared at distributed systems, it could also be a model for local computation (rf. Actor model, and Akka). The programming language should make default and implicit the features of reactivity and streaming, as opposed to preloading and batch processing. (Reactive Streaming Data: Asynchronous... - Source: dev.to / over 4 years ago
I want to create a framework for developers to deploy Akka based applications https://akka.io. Source: over 4 years ago
Akka, extremely resilient Scala framework for โmessage-drivenโ;. - Source: dev.to / over 4 years ago
But there's more to the topic of microservices. Seems like all the conversation focuses on deployment pain. You can build a service with something like Akka or Moleculer where the modules act independently and have some message passing and resilience from each other, but they can still all live in one codebase, one process, and deployed as one unit. It works fine and isn't painful at all. And maybe down the line... Source: over 4 years ago
If you're interested in the actor model, there's also a JVM implementation called Akka and a .NET port called Akka.NET. Source: almost 5 years ago
Please show me something like this: https://akka.io/ Or this: https://zio.dev/ Or this: https://github.com/milessabin/shapeless. Source: almost 5 years ago
Scala became really popular with the advent of "Big Data" because functional programming lends itself so naturally to analytics, and the learning curve for Modern LISPs like Haskell and Clojure is too high for too many. Apache Spark is built in Scala, and when it got big, Scala got big. Since then Scala has also become a popular language for other domains including reactive web applications and microservices... - Source: dev.to / almost 5 years ago
You might want to consider a lightweight reactive library like Akka or Vert.x which will make more efficient use of threads, and takes the work away of having to write a concurrent, distributed application, so you can just focus on writing your poker app. Source: almost 5 years ago
I'd say your friend got it basically right for actors (guaranteed deadlock free resilient massive distributed concurrent computation -- note: not parallelism) ala Akka. This is apparently what Alan Kay intended to happen for Smalltalk before he essentially lost control of its evolution. In the actor model, messages are not function calls, because you don't get a value back in the normal sense of a function having... Source: about 5 years ago
We came across Lightbend quite a while ago. If you don't know Lightbend, they are the company behind the Akka toolkit (as well as Scala, Play Framework, Lagom, and others). Hundreds of thousands of Java and Scala developers around the world use these products. Our first collaboration was at the Scala Love podcast, where Lukas Ritz and Seth Tisue talked about Scala and its compiler's internals. The episode is full... - Source: dev.to / about 5 years ago
Speaking as someone who has used Erlang longer than most, who created a pre-Elixir-like language for Erlang's BEAM VM, and who routinely listens to Carl Hewitt's rants about why Erlang actors are bad, and who tried to make a Ruby actor library after using innumerable other library-level actor solutions... Source: over 5 years ago
First used (from my limited knowledge) in the Apollo Guidance Computer, and later popularized by Erlang, rather than avoid crashes with lots of work and still missing them, many developers today are just accepting crashes can happen. In Erlang/Elixir and the Akka framework, itโs common to create a lightweight process thatโs sole job is to watch child process. The child process is what runs the actual code. If the... - Source: dev.to / over 5 years ago
Akka, developed by Lightbend, has garnered significant interest and varied opinions within the software development community. It is widely recognized for implementing the actor model, providing tools for building highly concurrent, distributed, and resilient message-driven applications for JVM languages, predominantly Scala and Java. Akka's design allows developers to focus on business objectives rather than low-level programming tasks, which aligns with contemporary software development practices emphasizing agility and rapid iteration.
Akka is lauded for facilitating the creation of resilient systems that span across networks by leveraging its library set. By abstracting low-level code, it enables developers to concentrate on aligning to business objectivesโa virtue echoed in discussions surrounding modern application architecture. It has inspired projects like Akka Serverless and Akka Platform, which cater to business-driven applications and serverless architectures, respectively.
When compared to its contemporaries and competitorsโsuch as RabbitMQ, Dapr, and Vert.xโAkka is notably more focused on utilizing the actor model for building systems. While other tools provide different paradigms (e.g., message brokers and reactive libraries), Akka's dedication to the actor model and its implementation in Scala and Java give it a unique standing. Although viewed as less ergonomic than Elixir (which also utilizes the actor model), Akka is considered a more approachable alternative in JVM ecosystems.
Akka's significant shift in licensing posed concerns within its community. Historically open source, Akka's change primarily impacts companies using it for non-cloud-provider applications, possibly affecting businesses that are not necessarily software-focused. This transformation raised questions about its future accessibility and adoption.
In the broader context of asynchronous programming and reactive systems, Akka stands alongside technologies like Kotlin's Flow, Java's Project Reactor, and Swift's AsyncSequence, serving as a foundational pillar in building reactive streams and systems in the JVM ecosystem. Akka's concurrency model allows for efficient API deployment in scenarios requiring heavy loads and high user concurrency, making it a reliable component in scalable architectures.
In summary, Akka continues to be a significant player in the sphere of concurrent and distributed systems. Its robust implementation of the actor model and its influence on reactive programming paradigms highlight its ongoing relevance and capability to support modern application needs. Despite challenges stemming from licensing changes, its utility in crafting resilient systems ensures it remains a valuable tool for developers focused on creating concurrent, scalable applications.
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