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UID:pretalx-devconf-cz-2026-DX79N7@pretalx.devconf.info
DTSTART;TZID=CET:20260619T140000
DTEND;TZID=CET:20260619T143500
DESCRIPTION:Modern distributed systems demand fast\, efficient data exchang
 e over REST APIs. JSON has long been the default—easy to read and debug 
 and works in every browser. But it can be slow and bulky at scale. Protoco
 l Buffers (ProtoBuf) is a binary alternative from Google with smaller payl
 oads\, faster serialization\, and built-in schema enforcement.\n\nThis tal
 k explores both formats through a practical lens: we build the same REST A
 PI twice—once with JSON\, once with ProtoBuf—and benchmark them head-t
 o-head with a live demo. \n\nWe cover the trade-offs: JSON's readability a
 nd browser support vs. ProtoBuf's strict typing\, backward compatibility\,
  and code generation. \n\nWe explore why AI model serving platforms and ML
  training pipelines rely on ProtoBuf for performance-critical workloads an
 d how gRPC extends it further.\n\nThe session includes a real-world securi
 ty demo showing how crafted input can crash a service. \nYou leave with wo
 rking demo code\, benchmarks\, and a clear decision guide
DTSTAMP:20260430T125110Z
LOCATION:E104 (capacity 72)
SUMMARY:Why ProtoBuf vs JSON Matters More in the AI Era - Kiran Kashinath B
 elle\, Prasad Kalanke
URL:https://pretalx.devconf.info/devconf-cz-2026/talk/DX79N7/
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