Advantages of Protobuf for Serialization in Python | Real Python Podcast #110
Skills:
Systems Design Basics70%
Would you like a way to send structured serialized data between different platforms and languages? What if the data was self-documenting, could automatically generate Python code, and validate itself? This week on the show, Liran Haimovitch talks about protocol buffers and communicating with microservices through Remote Procedure Calls (RPC).
👉 Links from the show: https://realpython.com/podcasts/rpp/110/
Protocol buffers, aka protobuf, are a language-neutral, platform-neutral system for serializing structured data. Liran talks about how they go beyond text-based protocols like JSON, providing the benefits above, along with faster transmissions and a smaller footprint.
Liran shares how his company uses protobuf to communicate between their tools. We also discuss using gRPC to communicate between microservices and scaling infrastructure in either direction.
Topics:
- 00:00:00 -- Introduction
- 00:01:59 -- PyCon US 2022 Talk about protobuf
- 00:04:46 -- PyCon 2019 Talk Understanding Python's Debugging Internals
- 00:05:34 -- The Production-First Mindset Podcast
- 00:07:03 -- Protobuf and serialization
- 00:11:17 -- Static vs dynamic serializers
- 00:13:58 -- Text vs binary serializers and metadata
- 00:21:08 -- How long have you been using protobuf?
- 00:21:40 -- What does it look like to setup?
- 00:24:45 -- Video Course Spotlight
- 00:26:11 -- Performance challenges and tradeoffs
- 00:34:29 -- Remote procedure calls
- 00:41:13 -- Using RPC for microservices
- 00:47:21 -- Scaling your infrastructure up or down
- 00:50:35 -- Working across different languages
- 00:54:02 -- What is Rookout?
- 00:55:11 -- What are you excited about in the world of Python?
- 00:55:59 -- What do you want to learn next?
- 00:56:57 -- How can people learn more about what you do?
- 00:57:31 -- Thanks and goodbye
👉 Links from the show: https://realpython.com/podcasts/rpp/110/
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