async req / res communication (inproc or remote) between nodes Both libraries allow for synchronous or asynchronous communication depending on how to implement the communication. See this page for gRPC: http://www.grpc.io/docs/guides/concepts.html. Basically gRPC allow for typical HTTP synchronous request/response or a ‘websocket-like’ bidirectional streaming. For 0mq you can setup a simple REQ-REP connection which is … Read more
JMS and messaging is really about 2 totally different things. publish and subscribe (sending a message to as many consumers as are interested – a bit like sending an email to a mailing list, the sender does not need to know who is subscribed high performance reliable load balancing (message queues) See more info on … Read more
You can try something like SEL s = NSSelectorFromString(selectorName); [anObject performSelector:s];
what makes them better than writing your own library? When rolling out the first version of your app, probably nothing: your needs are well defined and you will develop a messaging system that will fit your needs: small feature list, small source code etc. Those tools are very useful after the first release, when you … Read more
NServiceBus is growing in popularity. It is open source as well. Here is a Hanselminutes episode with Scott Hanselman talking with Udi Dahan about NServiceBus to help grok it. You should definitely evaluate using it. UPDATE: There’s also a DNR TV episode which shows what it’s like to build an NServiceBus solution from scratch here: … Read more
Here is a Typesafe/Reactive point of view on the question from Jonas Bonér. From the third paragraph of this blog post: The difference being that messages are directed, events are not — a message has a clear addressable recipient while an event just happen for others (0-N) to observe it.
In traditional message processing, you apply simple computations on the messages — in most cases individually per message. In stream processing, you apply complex operations on multiple input streams and multiple records (ie, messages) at the same time (like aggregations and joins). Furthermore, traditional messaging systems cannot go “back in time” — ie, they automatically … Read more
Kafka uses the abstraction of a distributed log that consists of partitions. Splitting a log into partitions allows to scale-out the system. Keys are used to determine the partition within a log to which a message get’s appended to. While the value is the actual payload of the message. The examples are actually not very … Read more
You can use a transformation broker without a service bus, and vice versa. In terms of specific products I don’t think any one is purely one or the other because of the way each complements the other. Some products are stronger in the one area, other stronger in another. Perhaps a choice needs to be … Read more
We choose Camel over Spring-Integration because the fluent API is really nice. We actually use it in Spring projects and use Spring to configure part of it. The programming API’s are clear and there is a large set of sensible components. We did a small scale shootout and basically at that time for our requirement … Read more