Based on our record, Hyper-V should be more popular than Apache Thrift. It has been mentiond 21 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I ran the following command based on this guide: Enable-WindowsOptionalFeature -Online -FeatureName Microsoft-Hyper-V -All. Source: almost 2 years ago
Also, you can enable Hyper-V on windows under KVM then all but the most paranoid games (e.g. Valorant) will run. Source: almost 2 years ago
Hyper-V needs to be enabled - link Note, Hyper-V is not available on Home Edition. Source: about 2 years ago
VMware Workstation Player is a good free option, there's also Hyper-V which is built into Windows. Source: about 2 years ago
Hyper-V is more a Windows feature https://docs.microsoft.com/en-us/virtualization/hyper-v-on-windows/quick-start/enable-hyper-v and can be uninstalled from optional features. 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 / 3 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
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