Yes! I plan to maintain it long-term! I will be rolling out some feature improvements and updates these few weeks. I still think Kong did a good job in crafting the product. I started using Insomnia in my previous company 3 years ago and our team loved it. What happened recently felt a little bit like the Unity fiasco (of course, in a much smaller scale). Though as a user I would say Kong had taken a bad turn, I'm... - Source: Hacker News / 9 months ago

At least for my needs, NeDB[0] is the best of both worlds for prototyping and early-stage production releases. It's human-readable, on-disk, greppable, still supports indexing and a subset of Mongo features while remaining serverless and in-memory. [0] https://github.com/louischatriot/nedb. - Source: Hacker News / almost 2 years ago

Local: Local specific logic. For example, code to write to a Nedb table. - Source: dev.to / about 2 years ago

What I'd do to get the best understanding of how NeDB works is to dive into the docs here. The primary things to keep in mind are that there can be other non-JSON data in those files, and that all of the document data is appended and periodically compacted, which means you'll often have an arbitrary number of duplicates and versions within the same file. Source: about 2 years ago

I've used https://github.com/louischatriot/nedb before but it may not meet your needs. Source: almost 3 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