And he does have a point here. So far, solutions like Blitz, Redwood, Adonis, or T3 haven’t managed to secure the popularity in their ecosystem that Rails or Laravel have in theirs. - Source: dev.to / 29 days ago

In the JavaScript ecosystem, there are guides for enabling SAML-based enterprise single sign-on in AdonisJS, Express.js, Next.js, Remix, and React with an Express.js backend. - Source: dev.to / 3 months ago

AdonisJS is a powerful TypeScript framework for building webapps with the MVC (Model, View, Controller) architecture. Today marks the release of AdonisJS V6, and it's brought a boatload of changes that makes Adonis more appealing than ever. - Source: dev.to / 5 months ago

If you liked Laravel, then try https://adonisjs.com/, it's very similar to Laravel and is in constant development. Source: about 1 year ago

Node is different, you compose you backend from different modules, although there is https://adonisjs.com (alternative to Rails and it's nice, but not popular and almost no jobs). Source: about 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 / 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