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Designing Instagram

High Scalability

Design a photo-sharing platform similar to Instagram where users can upload their photos and share it with their followers. Generating machine learning based personalized recommendations to discover new people, photos, videos, and stories relevant one’s interest. High Level Design. Component Design. API Design.

Design 334
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Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support…

The Netflix TechBlog

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of Cosmos , our media encoding platform. Over the past 2.5

Latency 212
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Scalable Annotation Service?—?Marken

The Netflix TechBlog

An example for storing both time and space based data would be an ML algorithm that can identify characters in a frame and wants to store the following for a video In a particular frame (time) In some area in image (space) A character name (annotation data) Pic 1 : Editors requesting changes by drawing shapes like the blue circle shown above.

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Data Reprocessing Pipeline in Asset Management Platform @Netflix

The Netflix TechBlog

Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams. This feature support required a significant update in the data table design (which includes new tables and updating existing table columns).

Media 237
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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

The Netflix video processing pipeline went live with the launch of our streaming service in 2007. This architecture shift greatly reduced the processing latency and increased system resiliency. This introductory blog focuses on an overview of our journey. We moved from centralized linear encoding to distributed chunk-based encoding.

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ChatGPT vs. MySQL DBA Challenge

Percona

At the same time that I see database engineers relying on the tool, sites such as StackOverflow are banning ChatGPT. ChatGPT: The innodb_redo_log_capacity parameter specifies the maximum size of the InnoDB redo log buffer, which is used to store changes made to the database before they are written to disk. What could it be?

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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Investigating a video streaming failure consists of inspecting all aspects of a member account. Now let’s look at how we designed the tracing infrastructure that powers Edgar. Using simple lookup indices in Cassandra gives us the ability to maintain acceptable read latencies while doing heavy writes.