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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. High Level Design. Component Design. API Design. We have provided the API design of posting an image on Instagram below. API Design. Problem Statement. Architecture. Fetching User Feed.

Design 334
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For your eyes only: improving Netflix video quality with neural networks

The Netflix TechBlog

For example, we invest in next-generation, royalty-free codecs and sophisticated video encoding optimizations. Recently, we added another powerful tool to our arsenal: neural networks for video downscaling. How can neural networks fit into Netflix video encoding? Video encoding using a conventional video codec, like AV1.

Network 292
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Practical API Design at Netflix, Part 1: Using Protobuf FieldMask

The Netflix TechBlog

Remote calls are never free; they impose extra latency, increase probability of an error, and consume network bandwidth. How can we achieve a similar functionality when designing our gRPC APIs? This can become an issue for some applications, for example, on mobile devices with limited network bandwidth.

Design 245
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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

Compressing them over the network: Which compression algorithm, if any, will we use? Plotted on the same horizontal axis of 1.6s, the waterfalls speak for themselves: 201ms of cumulative latency; 109ms of cumulative download. 4,362ms of cumulative latency; 240ms of cumulative download. Read the complete test methodology.

Cache 291
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Consistent caching mechanism in Titus Gateway

The Netflix TechBlog

For example, it is OK to send writes through one instance, and do reads from another one with full data read consistency guarantees. For example, a batch workflow orchestration system may create multiple jobs which are part of a single workflow execution. Kubernetes is a good example here.

Cache 224
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Snap: a microkernel approach to host networking

The Morning Paper

Snap: a microkernel approach to host networking Marty et al., This paper describes the networking stack, Snap , that has been running in production at Google for the last three years+. The desire for CPU efficiency and lower latencies is easy to understand. SOSP’19. Emphasis mine). It reminds me of ZeroMQ.

Network 92
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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. Similarly, an increased throughput signifies an intensive workload on a server and a larger latency.

Metrics 130