ee4b7305a2
This PR adds all the guides from [Visual Guides](https://bytebytego.com/guides/) section on bytebytego to the repository with proper links. - [x] Markdown files for guides and categories are placed inside `data/guides` and `data/categories` - [x] Guide links in readme are auto-generated using `scripts/readme.ts`. Everytime you run the script `npm run update-readme`, it reads the categories and guides from the above mentioned folders, generate production links for guides and categories and populate the table of content in the readme. This ensures that any future guides and categories will automatically get added to the readme. - [x] Sorting inside the readme matches the actual category and guides sorting on production
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title, description, image, createdAt, draft, categories, tags
| title | description | image | createdAt | draft | categories | tags | |||
|---|---|---|---|---|---|---|---|---|---|
| 4 Ways Netflix Uses Caching | Explore how Netflix uses caching to maintain user engagement. | https://assets.bytebytego.com/diagrams/0007-4-ways-netflix-uses-caching.png | 2024-02-25 | false |
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The goal of Netflix is to keep you streaming for as long as possible. But a user’s typical attention span is just 90 seconds.
They use EVCache (a distributed key-value store) to reduce latency so that the users don’t lose interest.
However, EVCache has multiple use cases at Netflix.
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Lookaside Cache
When the application needs some data, it first tries the EVCache client and if the data is not in the cache, it goes to the backend service and the Cassandra database to fetch the data.
The service also keeps the cache updated for future requests.
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Transient Data Store
Netflix uses EVCache to keep track of transient data such as playback session information.
One application service might start the session while the other may update the session followed by a session closure at the very end.
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Primary Store
Netflix runs large-scale pre-compute systems every night to compute a brand-new home page for every profile of every user based on watch history and recommendations.
All of that data is written into the EVCache cluster from where the online services read the data and build the homepage.
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High Volume Data
Netflix has data that has a high volume of access and also needs to be highly available. For example, UI strings and translations that are shown on the Netflix home page.
A separate process asynchronously computes and publishes the UI string to EVCache from where the application can read it with low latency and high availability.