Protobuf VS Apache Thrift

Protocol Buffers: https://developers.google.com/protocol-buffers. - Source: dev.to / about 1 year ago

ProtocolBuffers’ OneOf message addresses the case of having a message with many fields where at most one field will be set at the same time. - Source: dev.to / over 1 year ago

That's definitely the bigger thing. I think something like Protocol Buffers (Protobuf) is what you're looking for there. Output the data and consume it by something that can handle the analysis. Source: over 1 year ago

These protocols prevent an O(N x M) explosion of code that have to solve for many cases. For example, since JSON is an almost ubiquitous format for wire transfer (although other things do exist like protobufs), if I had N data formats that I want to serialize, I only need to write N serializers/deserializers (SerDes). If there was no such narrow waist and there were M alternatives to JSON in wide usage, I would... Source: over 1 year ago

gRPC uses protocol buffers (it is an open source message format) as the default method of communication between client and server. Also, gRPC uses HTTP/ 2 as the default protocol. - Source: dev.to / over 1 year 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 / 2 months ago

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

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