Maybe take a look at Helidon SE from Oracl (you find a short tutorial at https://www.baeldung.com/microservices-oracle-helidon). Source: about 1 year ago

If you’ve used NodeJS & ExpessJS, in Java world, Vert.x, Helidon and Javalin should be familiar. Source: over 1 year ago

If you’ve used ExpressJS, you could try Vert.x and Helidon. Source: almost 2 years ago

You would think that if the site of one of the biggest programming languages is an abomination for both consumers and developers, then the one for a rest framework that the same company develops on the side should be even worse, but that's not the case as we are talking about oracle. How is the helidon website absolutely stunning on both mobile and desktop? It's still developed by oracle, just how is it possible... Source: about 2 years ago

The specification playground is called microprofile, where new specifications are rapidly prototyped. Some products are built around only that platform like quarkus, helidon or Micronaut. Source: about 2 years ago

While gRPC and Apache Thrift have served the microservice architecture well, CloudWeGo's advanced features and performance metrics set it apart as a promising open source solution for the future. - Source: dev.to / 4 months ago

Services in general communicate via Thrift (and in some cases HTTP). Source: over 1 year ago

Protocol Buffers is the most popular one, but there are many others such as Apache Thrift and my own Typical. Source: over 1 year ago

RPC is not strictly OO, but you can think of RPC calls like method calls. In general it will reflect your interface design and doesn't have to be top-down, although a good project usually will look that way. A good contrast to REST where you use POST/PUT/GET/DELETE pattern on resources where as a procedure call could be a lot more flexible and potentially lighter weight. Think of it like defining methods in code... Source: over 1 year ago

The information can be stored in a database or as files, serialized in a standard format and with a schema agreed with your Data Engineering team. Depending on your information and requirements, it can be as simple as CSV, XML or JSON, or Big Data formats such as Parquet, Avro, ORC, Arrow, or message serialization formats like Protocol Buffers, FlatBuffers, MessagePack, Thrift, or Cap'n Proto. - Source: dev.to / over 1 year ago