When it comes to system design, there are a few key things that you need to keep in mind. The first is that the design needs to be scalable. Second, it needs to be able to handle a high volume of requests. And third, it needs to be able to handle a wide variety of data types.
When it comes to Facebook and Instagram, they use a variety of different techniques to achieve these goals. For example, they use a data structure called a hash table. Hash tables are great for handling large amounts of data quickly. They’re also good for handling data that’s constantly changing (like the number of likes on a post).
Another technique that Facebook and Instagram use is caching. Caching is when you store data in memory so that you can access it faster in the future. Facebook and Instagram use caching to store data like user profiles and photos so that they don’t have to fetch them from the database every time someone wants to view them.
Finally, Facebook and Instagram use sharding when they need to store large amounts of data that can’t all fit on one server. Sharding is when you split up your data across multiple servers. This way, each server only has a portion of the total data set, making it easier to manage and scale.
All of these techniques are important for system design. But ultimately, what’s most important is that you understand the problem you’re trying to solve and then figure out the best way to solve it given the constraints you’re working with.
