ActiveJ is a Java platform built from the ground up for web, high-load, and cloud programming. ActiveJ is the result of developing a genuinely high-load ecosystem for AdKernel, a Real-Time Bidding ad-serving platform that processes hundreds of billions of requests daily. ActiveJ has a rich stack of technologies without a zoo of diverse solutions tailored together with excessive abstractions. It is a high-performance alternative to Spring, Micronaut, Apache Spark, Quarkus, and other solutions.
The distinguishing features of ActiveJ are simplicity, high performance, and consistency. As a result, it is fast, lightweight, and does not contain tons of abstractions and third-party dependencies. Moreover, ActiveJ offers a simple programming approach, prioritizing business logic over framework specifications.
ActiveJ consists of loosely coupled components that complement and extend each other. Some of them can be used as stand-alone libraries.
- ActiveJ Inject. A lightweight Dependency Injection library with a rich toolkit. Can be used as a stand-alone library.
- Async I/O core:
- Fast asynchronous data stream processing:
- High-performance HTTP components including asynchronous HTTP clients and servers. Can be used independently of ActiveJ.
- Bootstrapping and lifecycle management utils:
Service Graph, JMX, Triggers.
Bytecode manipulation tools:
- ActiveJ Serializer - the world’s fastest JVM-based serializer with bytecode generation at runtime.
- ActiveJ Codegen - dynamic bytecode generator without the complexity of direct bytecode manipulation. Features a streamlined and concise API.
- ActiveJ Specializer - a unique technology that automagically speeds up your code significantly by optimizing it for the JVM.
- ActiveJ RPC - high-performance binary protocol for developing distributed applications and microservices solutions
- ActiveJ FS - provides effective tools for developing scalable local or remote file storages with a support of data redundancy, rebalancing, and resharding.
The ActiveJ project is an improved version of the DataKernel framework. Since the release of v3.0, it has been greatly improved and restructured.