How YouTube's Upload, Transcoding, and CDN Architecture Works at Scale

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A technical breakdown published on DEV Community explains how a YouTube-like platform separates its write and read paths to handle massive scale. The write side uses a resumable, chunked upload system that sends video files directly to blob storage, followed by a queue-driven transcoding pipeline that converts raw footage into multiple resolutions and formats. The read side relies entirely on a CDN edge network to serve billions of daily video segment requests without overwhelming origin servers. Adaptive bitrate streaming via HLS or DASH allows video players to dynamically adjust quality based on available bandwidth. View counts are handled through approximate aggregation rather than per-view database writes, keeping the system performant under extreme load.

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Five steps to secure payment webhooks and prevent fraudulent order fulfilment

A developer behind Saturdays, a food-order platform using PhonePe, has outlined a multi-step approach to safely handling payment webhooks. The core problem is that a webhook is essentially an unverified claim from an external sender, and naively trusting it can allow anyone to mark orders as paid. The recommended process includes logging raw request bytes, authenticating the sender, independently querying the gateway's status API, locking the order row before a final state check, and comparing the confirmed payment amount against the stored order total. Critically, the payment amount is always computed server-side from the order record and never accepted from the client. These measures together prevent duplicate fulfilment, fraud, and silent mismatches that would otherwise require manual reconciliation.

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

Power BI Data Modelling Explained: Flat Tables vs Star Schema and Relationships

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