The client-server architecture is a distributed application framework consisting of clients and servers in which the server hosts, manages, and delivers the client’s services. Here clients are connected to a central server, and they communicate over a network or internet connection through a computer network.
YouTube is a frequently used social networking platform for video sharing and advertising. It is a widely used service, so our system should be cost efficient, highly available, scalable, and reliable. It should offer low latency and high throughput. This blog will focus on youtube system design and discussion around various components.
A key-value database is a non-relational database that stores data using a simple key-value mechanism. Data is stored in a key-value database to collect key-value pairs, with a key serving as a unique identifier. Both keys and values can be any object, from simple to complex compound objects.
Load balancers can receive and distribute requests to a particular server based on various load balancing techniques. These techniques use different algorithms to select servers based on a specific configuration. These algorithms are categorized into two parts: Static load balancing, 2) Dynamic load balancing
Latency is an essential concept that determines how fast the data transfers from the client to the server and back to the client. The lower the Latency, the better the performance. This blog will focus on the conceptual understanding of Latency, how it impacts the system's performance, and measures to improve Latency.
In this blog, we will learn about Caching, an important fundamental concept in system design. Have you ever experienced that when you open a website the first time, it takes more time than usual, but when you open the same website again, it takes no time to load? Do you know why this happens? Let's find out!