System Design

We have covered the concept of Message queues in System Design in depth along with its properties, architecture, benefits, examples, message brokers and real life applications of Message Queues.

We have discussed GitLab's Production Architecture to understand how a large company like GitLab which supports millions of developers handle and scale their infrastructure.

We explored how overloaded networks are handled using techniques such as applying back pressure and exponential back-off. Let us first begin with the reasons for overload and congestion, after which we will learn how to mitigate it.

We have explained different Strategies to update Cache in a System such as Cache Aside, Read Through, Write Back and much more. This is an important topic to design efficient system.

This article talks about the Gitlab system design with a simplified overview of its architecture as well as explanation on the working of the important Gitlab architecture components. The System Design of GitHub will be on similar lines.

We have covered Entity Relationship Model in depth along with basics like entity, attributes, notations and much more. We have present an example of Entity Relationship Model for Job Portal database.

We have covered the basics of Software Development Lifecycles along with the different types like Waterfall Model. We have covered advantages and different stages of SDLC.

We have covered the differences between REST and RPC. REST stands for Representational State Transfer and RPC stands for Remote Procedural Call.

We have explored the System Design of a Firewall along with the basics of Firewall and a sample Firewall Design in a real system.

This article elaborates the working of service discovery of microservices in the application layer along with the complete idea of Application layer with Microservices and Service Discovery.

We have explained the Idea of stateless and stateful architecture ind depth. There seems to be a raging debate as to which is better, stateless architecture or stateful architecture. We have explained everything in depth.

We have covered the idea of Layer 4 and Layer 7 Load Balancing along with advantages and disadvantages. This is an important topic in System Design and is an effective Load Balancing technique.

We have explained consistency pattern in System Design along with examples for different types like Eventual, Strong and Weak Consistency.

Cloud Design Pattern as defined by cloud computing experts are a general reusable solution to commonly occurring problems in cloud architecting. We have explained the different Cloud Design Patterns like Scale Up Pattern.

We have explored Sidecar Design Pattern in System Design along with its advantages and disadvantages and a real System Design example using Sidecar Design Pattern.

The concept of copying data from one peripheral to another peripheral by kernel, without switching back to user-process is termed as zero copy. In this article, we have explained the concept with code examples.

Data partitioning in simple terms is a method of distributing data across multiple tables, systems or sites to improve query processing performance and make the data more manageable. We have explored Data Partitioning in System Design in depth.

In memory Database is a type of Database that is stored in main memory (instead of hard disk) which makes to significantly fast (100X improvement) with some limitations.

In this article, we have explored the system design of an online coding judge like HackerRank and CodeForces in depth and explored the best choices.

We have explained the ideas involved to design a system for URL shortening service which is scalable in the real environment.

We have explained how to Design a Rate Limiting System in a scalable way and explored various algorithms that are used in practice.

Database replication is about storing copies of same data in many locations for backup, efficiency and other reasons. We have discussed the challenges of database replication, application and where to use database replication.

Scaling has become a very important concern and topic in information technology in the age of accelerating technology and data. Can our system handle increased load? We explored the Idea of vertical and horizontal scaling in this regard.