Scalable JSON Streaming with HTTP and Go

Welcome to the final episode of the JSON for Engineers series! This episode focuses on efficient JSON streaming and handling large datasets in Go. Learn how to minimize memory usage and optimize data transmission using JSON Lines (NDJSON) and HTTP/1.1 chunked transfer encoding.
The episode begins by addressing the challenges of transmitting large JSON objects and introduces NDJSON as a lightweight, line-by-line approach for streaming data. Practical examples demonstrate Go's encoding/json package to encode and decode objects dynamically, reducing memory overhead. The episode then explores HTTP chunked encoding to stream JSON over the web in smaller pieces, ensuring real-time delivery with minimal resource usage. Key techniques for managing errors during streaming and maintaining compatibility with HTTP protocols are also covered.
By the end of this episode, you’ll know how to handle large JSON datasets efficiently, build scalable systems, and deliver data reliably with Go.

Things you will learn in this video:

- JSON Streaming with NDJSON: Stream large datasets efficiently, one object per line.
- HTTP/1.1 Chunked Encoding: Stream JSON over HTTP using chunked transfer encoding.
- Error Handling in Streaming: Manage errors effectively during data transmission.

The clips from this series are from our September 2024 livestream, 'JSON: The Fine Print For Engineers and Managers', with instructor Miki Tebeka.
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