Design Pickle Reviews

Apache Thrift Reviews

Design Pickle mentions (6)

• Project feedback

  Whats your differentiator between https://designpickle.com/ ? Source: over 1 year ago

• Animated explainer videos are so expensive!

  Not really. We pay graphically.io and designpickle.com peanuts for whatever we want. Source: almost 2 years ago

• Design Service as a Subscription.

  Check out Design Pickle's site. Clear value proposition above the fold. They were one of the first in this space and therefore what they have works and is battle tested. Source: about 2 years ago

• Have you ever worked at Design Pickle?

  Seems like an online GD studio or something heres a link. Source: over 2 years ago

• Where do you buy your designs?

  I buy from tshirtfella.com and I have a subscription to designpickle.com . Source: about 3 years ago

Apache Thrift mentions (12)

• Delving Deeper: Enriching Microservices with Golang with CloudWeGo

  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

• Reddit System Design/Architecture

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

• Universal type language!

  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

• You worked on it? Why is it slow then?

  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

• Java Serialization with Protocol Buffers

  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