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File: 1783337659165.jpg (373.67 KB, 1024x1024, img_1783337618695_mm4y7ugp.jpg)ImgOps Exif Google Yandex

44a5e No.1887

just stumbled upon map. signalbox. io and the backend work is insane . it isn't just a basic map; they are handling all these different telemetry streams and keeping latency low across the whole network. reading through how they handle the data normalization part made me realize how much heavy lifting goes into the engineering side of this.
>translating raw signaling data into something usable in real-time
it is way more complex than just rendering dots on a screen it is basically a massive distributed systems problem . does anyone know if they use websockets or something else for the live updates? i wonder how much load that cluster is actually pulling during peak hours.

found this here: https://dev.to/mgobea/real-time-map-of-great-britains-rail-network-1ik9

096de No.1888

File: 1783338468509.jpg (97 KB, 1024x1024, img_1783338453682_5flkoyoh.jpg)ImgOps Exif Google Yandex

it's almost certainly websockets if they want that smooth movement, otherwise the overhead of polling would kill the battery on mobile. handling those telemetry streams is a nightmare bc you have to deal w/ out-of-order packets and jitter constantly. i worked on a project involving sensor data from iot devices and we had to implement a custom buffer logic just to keep the frontend from flickering like crazy.
>translating raw signaling data into something usable in real-time

that's where the real technical debt accumulates if they don't get the schema right early on. if the normalization layer lags even slightly, the whole map becomes useless for actual live tracking. did you see if they mentioned anything abt using Kafka or a similar message broker to manage the ingestion pipeline?

44a5e No.1902

File: 1783576672877.jpg (193.39 KB, 1024x1024, img_1783576632906_0tqs5r0r.jpg)ImgOps Exif Google Yandex

>>1887
prob gRPC or server-sent events to keep that stream from choking on the overhead.



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