Remove Cache Remove Network Remove Video
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Improving our video encodes for legacy devices

The Netflix TechBlog

by Mariana Afonso , Anush Moorthy , Liwei Guo , Lishan Zhu , Anne Aaron Netflix has been one of the pioneers of streaming video-on-demand content?—?we we announced our intention to stream video over 13 years ago, in January 2007?—?and how long it takes for the video to start playing), rebuffer rates, etc.,

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Migrating Netflix to GraphQL Safely

The Netflix TechBlog

The GraphQL shim enabled client engineers to move quickly onto GraphQL, figure out client-side concerns like cache normalization, experiment with different GraphQL clients, and investigate client performance without being blocked by server-side migrations. To launch Phase 1 safely, we used AB Testing. How does it work?

Traffic 356
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Best practices and key metrics for improving mobile app performance

Dynatrace

Mobile applications (apps) are an increasingly important channel for reaching customers, but the distributed nature of mobile app platforms and delivery networks can cause performance problems that leave users frustrated, or worse, turning to competitors. Load time and network latency metrics. Minimize network requests.

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Netflix Cloud Packaging in the Terabyte Era

The Netflix TechBlog

After content ingestion, inspection and encoding, the packaging step encapsulates encoded video and audio in codec agnostic container formats and provides features such as audio video synchronization, random access and DRM protection. It is worth pointing out that cloud processing is always subject to variable network conditions.

Cloud 240
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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

This allows the app to query a list of “paths” in each HTTP request, and get specially formatted JSON (jsonGraph) that we use to cache the data and hydrate the UI. In the snippet above, we’re accessing the detail key for the video object with id 80154610. Instead, it is part of a different path : [videos, <id>, similars].

Latency 238
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Dynatrace Kubernetes Observability for Persistent Volume Claims

Dynatrace

Interestingly, our partner RedHat reported in 2021 that around 80% of deployed workloads are databases or data caches, storing data in persistent volume claims (PVCs). For example, let’s say you have an idea for a new social network and decide to use Kubernetes as your container management platform.

Storage 201
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Designing Instagram

High Scalability

Generating machine learning based personalized recommendations to discover new people, photos, videos, and stories relevant one’s interest. We will use a cache having an LRU based eviction policy for caching user feeds of active users. Some of the keys of understanding the user network are listed below. References.

Design 334