Atomix
Vert.x
Our great sponsors
| Atomix | Vert.x | |
|---|---|---|
| 1 | 46 | |
| 2,343 | 14,065 | |
| -0.1% | 0.7% | |
| 2.2 | 9.5 | |
| 24 days ago | 4 days ago | |
| Go | Java | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Atomix
-
How to Achieve Geo-redundancy with Zeebe
To understand how we can achieve resilience in Zeebe, you first need to understand how Zeebe does replication. Zeebe uses distributed consensus — more specifically theRaft Consensus Algorithm — for replication.There is an awesomevisual explanation of the Raft Consensus Algorithm available online, so I will not go into all the details here. The basic idea is that there is a single leader and a set of followers. The most common setup is to have one leader and two followers, and you’ll see why soon.
Vert.x
-
Spark – A web micro framework for Java and Kotlin
https://vertx.io/
It's actively maintained with full time developers, performant, supports Kotlin out of the box, and has more features?
-
Reactive database access on the JVM
Hibernate Reactive integrates with Vert.x, but an extension allows to bridge to Project Reactor if wanted
-
Looking for a coroutine-based message broker implementation for inter-app communication.
Have you looked at Vert.x?
-
What's the state of server-side frameworks with Kotlin support today for small teams?
Explicitly so:
-
Anything close beam/otp for other languages?
I really like Eclipse Vert.x... As both an Erlang dev and Java dev, it's a great synergy and soon to have support for Virtual Threads similar to BEAM.
-
Go doesn’t do any magical stuff and I love that
There are many lean, popular, non-magical libraries in Java land. (https://quarkus.io/, https://vertx.io/, etc). Spring is a monster 😱. Its like comparing Kubernetes (written in Go) with some lean framework in another lang.
- PFA vs SRL
-
Favorite hidden gem library?
Eclipse Vert.x - Add amazing Async to any Java stack
-
Codeberg a GitHub Alternative from Europe
Vert.X example: https://github.com/eclipse-vertx/vert.x/blob/master/src/main/java/examples/EventBusExamples.java#L106 (couldn't even find docs)
-
Quarkus fundamentals
In fact, it builds on top of proven standards such as Eclipse MicroProfile or frameworks such as Vert.x or JAX‑RS.
What are some alternatives?
Hazelcast - Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
Akka - Build highly concurrent, distributed, and resilient message-driven applications on the JVM
Apache ZooKeeper - Apache ZooKeeper
javalin - A simple and modern Java and Kotlin web framework [Moved to: https://github.com/javalin/javalin]
Quarkus - Quarkus: Supersonic Subatomic Java.
JGroups - The JGroups project
Micronaut - Micronaut Application Framework
Redisson - Redisson - Easy Redis Java client and Real-Time Data Platform. Sync/Async/RxJava/Reactive API. Over 50 Redis based Java objects and services: Set, Multimap, SortedSet, Map, List, Queue, Deque, Semaphore, Lock, AtomicLong, Map Reduce, Bloom filter, Spring Cache, Tomcat, Scheduler, JCache API, Hibernate, RPC, local cache ...
RxJava - RxJava – Reactive Extensions for the JVM – a library for composing asynchronous and event-based programs using observable sequences for the Java VM.
ScaleCube - Microservices library - scalecube-services is a high throughput, low latency reactive microservices library built to scale. it features: API-Gateways, service-discovery, service-load-balancing, the architecture supports plug-and-play service communication modules and features. built to provide performance and low-latency real-time stream-processing
helidon - Java libraries for writing microservices