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How Google Uses Google Cloud Storage

6 engineering articles about Google Cloud Storage from Google's engineering team

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Advanced
The article discusses the limitations of traditional request-response models in AI agent development and proposes a real-time bidirectional streaming architecture as a solution.
Hangfei Lin
7 min read
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Google
Advanced
The article discusses building high-performance data pipelines using Grain, a data loading library for JAX, and ArrayRecord, an efficient file format.
Jiyang Kang, Shivaji Dutta, Ihor Indyk, Felix Chern
10 min read
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Intermediate
The article discusses the introduction of Managed I/O in Google Cloud Dataflow, which simplifies the management of Apache Beam I/O connectors.
Chamikara Jayalath
8 min read
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Advanced
The article discusses the implementation of Gemma 2, a lightweight large language model (LLM) by Google, for processing streaming data with Dataflow.
Reza Rokni, Ravin Kumar
16 min read
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Beginner
Google Compute Engine is an Infrastructure-as-a-Service product that allows users to run Linux Virtual Machines on Google's powerful infrastructure.
Craig McLuckie, Product Manager, Google Compute Engine
4 min read
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Beginner
The article discusses the enhancements made to the Google Prediction API, highlighting its improved speed, ease of use, and accuracy.
Marc Cohen, Developer Relations
2 min read
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