System Design Interview

Pastebin is a online content hosting service where users can store and share content in the form of text or images over the internet by generating a unique URL so that anyone can access the content via that URL. Users can also update the content if they are logged in. This blog will focus on pastebin system design and discussion around various components.

Hadoop is an open-source framework that addresses the analytical and operational needs of Big Data by overcoming the limitations of traditional data analysis methods. With support for highly scalable and fault-tolerant distributed file systems, it allows for parallel processing. It comprises four main components - HDFS, YARN, MapReduce, and Hadoop Common.

In data science, databases play a crucial role in storing, managing, and scaling large amounts of data. This data is then analyzed to gain meaningful insights. In this blog, we will delve into the concept of databases and understand how data science relies on them, as well as their advantages.

In system design, graph databases help us to efficiently traverse complex hierarchies, identify hidden connections, and uncover inter-relationships between elements. That’s why they are used in various applications, where things are interconnected.

In the common client-server architecture, multiple clients will communicate with a central server. A peer-to-peer (P2P) architecture consists of a decentralized network of peers, which are nodes that can act as both clients and servers. Without a central server's need, P2P networks distribute workload among peers, and all peers contribute and consume resources within the network.

Load balancing is essential for building high-performance and scalable applications. It is also a popular topic for system design interviews. In terms of definition: a load balancer is a software or hardware device that sits between clients and servers to balance the workload. It saves servers from overloading and increases system throughput.