
Apache Karaf
Docker
Google App Engine
Amazon S3
AWS Elastic Beanstalk
Apache ServiceMix
Cisco CloudCenter
GlusterFS
SocketCluster
Socket.io
Pusher
Ably
PubNub
SignalR
Faye
NATS
Based on our record, SocketCluster seems to be a lot more popular than Apache Karaf. While we know about 16 links to SocketCluster, we've tracked only 1 mention of Apache Karaf. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Apache Karaf with OSGi works pretty nice using annotation based dependency injection with the declarative services, removing the need to mess with those hopefully archaic XML blueprints. Too bad it's not as trendy as spring and the developers so many of the tutorials can be a bit dated and hard to find. Karaf also supports many other frameworks and programming models as well and there's even Red Hat supported... Source: over 5 years ago
This is basically the principle behind https://socketcluster.io/ scalability; the sharding of channels across available brokers is pseudo-random. It uses a hash function for determinism but the distribution looks essentially random. - Source: Hacker News / 3 months ago
I started building something pretty obscure about 14 years ago; https://socketcluster.io/ an open source, WebSocket-based RPC + pub/sub library with a focus on in-order async stream-processing with backpressure monitoring. It didn't start out like that. Initially, it was just another WebSocket library with a focus on making it easier to scale to multiple processes. It's kind of mind-bending to me though that it... - Source: Hacker News / 3 months ago
I've been advocating for this approach for years. You can't avoid race conditions without using some kind of queueing mechanism and you need backpressure to measure queue capacity. I built this into every aspect of https://socketcluster.io/ - From pub/sub channels, RPCs to event listeners. - Source: Hacker News / 3 months ago
It's interesting reading this. Preventing these kinds of concurrency issues is exactly why I built https://socketcluster.io years ago. Though it solves the problem at the app layer rather than the storage layer. But not many developers care about these race conditions it seems. It's not just an issue with SQL but a more general issue with coding. This is a great example because it shows how concurrent executions... - Source: Hacker News / 4 months ago
Https://socketcluster.io/ has had such stream implementation and backpressure management since at least 2019;. https://github.com/SocketCluster/writable-consumable-stream. - Source: Hacker News / 6 months ago
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
Socket.io - Realtime application framework (Node.JS server)
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
Pusher - Pusher is a hosted API for quickly, easily and securely adding scalable realtime functionality via WebSockets to web and mobile apps.
Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
Ably - The realtime platform that just works. We power more WebSocket connections than any other pub/sub platform, serving over 2 billion devices monthly.