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Advantages of Protobuf for Serialization in Python

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Manage episode 329138105 series 2637014
Sisällön tarjoaa Real Python. Real Python tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

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 would validate itself? This week on the show, Liran Haimovitch talks about protocol buffers and communicating with microservices through Remote Procedure Calls (RPC).

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.

Course Spotlight: Testing Your Code With pytest

In this video course, you’ll learn how to take your testing to the next level with pytest. You’ll cover intermediate and advanced pytest features such as fixtures, marks, parameters, and plugins. With pytest, you can make your test suites fast, effective, and less painful to maintain.

Topics:

  • 00:00:00 – Introduction
  • 00:01:59 – PyCon US 2022 Talk on protobuf
  • 00:04:46 – PyCon 2019 Talk on 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 set up?
  • 00:24:45 – Video Course Spotlight
  • 00:26:11 – Performance challenges and trade-offs
  • 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

Show Links:

Level up your Python skills with our expert-led courses:

Support the podcast & join our community of Pythonistas

  continue reading

203 jaksoa

Artwork
iconJaa
 
Manage episode 329138105 series 2637014
Sisällön tarjoaa Real Python. Real Python tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

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 would validate itself? This week on the show, Liran Haimovitch talks about protocol buffers and communicating with microservices through Remote Procedure Calls (RPC).

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.

Course Spotlight: Testing Your Code With pytest

In this video course, you’ll learn how to take your testing to the next level with pytest. You’ll cover intermediate and advanced pytest features such as fixtures, marks, parameters, and plugins. With pytest, you can make your test suites fast, effective, and less painful to maintain.

Topics:

  • 00:00:00 – Introduction
  • 00:01:59 – PyCon US 2022 Talk on protobuf
  • 00:04:46 – PyCon 2019 Talk on 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 set up?
  • 00:24:45 – Video Course Spotlight
  • 00:26:11 – Performance challenges and trade-offs
  • 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

Show Links:

Level up your Python skills with our expert-led courses:

Support the podcast & join our community of Pythonistas

  continue reading

203 jaksoa

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