DataKernel

Alternative #Java platform, built from the ground up! Ultra high-performance, simple and minimalistic - redefines #webdevelopment, #microservices and #highload!

[DataKernel @datakernel_io]

Let's create a #TCP #server processing 45M RPS! In 6 lines of code it'll take a stream from our async socket, deserialize it with our world-fastest Serializer, process with ultra-fast Datastreams & CSP, serialize and send to the socket. That's what we call synergy and high-load!

[DataKernel @datakernel_io]

While on the subject of I/O communication, meet #DataKernel Datastream. It provides asynchronous data streams with back-pressure management. Create data processing pipelines with ultimate performance of 360M+ RPS on a single CPU core! https://t.co/LfpMDa9Mg7

[DataKernel @datakernel_io]

#DataKernel features CSP implementation for efficient I/O communication between channels. When we say efficient we mean it! Our latest benchmark showed 100M+ requests per second on a single core, try it out - https://t.co/o1a1nrAVGe

[DataKernel @datakernel_io]

Drama-free Way to Create a Modern #Java #Web Application | #DataKernel https://t.co/ghqxn9rNBI

[DataKernel @datakernel_io]

Bring some coffee and cookies, it's time to celebrate the new #DataKernel v3.1 release! The fastest #Java Serializer in the world and unique Codegen are waiting for you! Check out the release notes https://t.co/raSvVfkoin

[DataKernel @datakernel_io]

No more implicit lifecycles and components management magic! With #DataKernel you can launch your applications simply and explicitly - just like using main() method. Check out how all this works: https://t.co/eDpddKFpli

[DataKernel @datakernel_io]

We've just published a DataKernel overview article to Medium! Highly recommend to check it out! https://t.co/NqSkERMdQa

[DataKernel @datakernel_io]

#DataKernel v3.0.1 is here! The release includes minor maintenance improvements. Stay tuned with the updates by giving a star to our GitHub repository https://t.co/5FQCBfPLOd 😇

[Sasha S 🇺🇦 @FlyCreat1ve]

Just achieve that our serializer is the fastest serializer for JVM.
WOOOOHOOOOO! #datakernel

[DataKernel @datakernel_io]

What if we tell you #DataKernel v3.1 will feature the fastest #Java #serializer in the world? The updated #codegen makes this real - now it's even more powerful, yet super elegant and more developer-friendly. The release is coming very soon, stay tuned!

[DataKernel @datakernel_io]

Core #DataKernel features:
• full-stack solution built from the ground up
• no intermediate abstractions -> minimalist and fast
• high-level yet simple programming model
• no hassles with zoo of technologies in your project. Enjoy development in one concise ecosystem!

[DataKernel @datakernel_io]

DataKernel makes #Java #web development fun again! Forget about endless containers, layers of abstractions and boilerplate code. Concentrate on application logic instead of framework specifications, check out our Blog App tutorial - https://t.co/reOOaVHbPI

#NodeJS #Spring

[DataKernel @datakernel_io]

Have you tried our amazing Codegen? 🤩 Basically, it’s an embedded Lisp with a #codegen and automatic type inference. Furthermore, its runtime-generated code works as fast as a manually written #Java code! https://t.co/6g6tvjMndb

[DataKernel @datakernel_io]

@jvmdude DataKernel's main advantage is that it’s built from ground up, without overhead of intermediate abstractions, legacy standards and 3rd party libraries. Its components perfectly fit each other (DI, I/O, and others).
That's why it is so minimalistic, streamlined and fast!

[DataKernel @datakernel_io]

@jvmdude Sure! With Promise.ofRunnable() / ofCallable(), you can execute blocking I/O operations or CPU intensive tasks in another thread / thread pool, and get its result injected back into the event loop.

[DataKernel @datakernel_io]

Want to create a Memcached-like server? It might sound like a tough task, but not with DataKernel and our RPC module! - https://t.co/OmNLvoFHBm

[Jan Vladimir Mostert @polyglotamus]

@datakernel_io, how does your framework compare to using Netty in terms of requests per second and concurrent requests?

[JAXenter @JAXenter]

DataKernel 3.0 ist da: Die neuen Features in der Übersicht https://t.co/CxxjcyoaRB #Java
#updates #TechNews #NodeJS