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Top trending concepts in System Design Interviews.

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 Here are some trending topics on system design: 

  • Microservices Architecture: Microservices architecture is a design pattern that structures an application as a collection of small, independent services that communicate with each other using APIs. It allows for more flexibility and scalability, as each service can be updated, deployed, and scaled independently.


  •  Serverless Architecture: Serverless architecture is a design pattern where the application is hosted on third-party servers, and developers don't have to worry about the underlying infrastructure. It is a cost-effective and scalable option for developing and deploying applications.  examples are  Azure Functions and AWS Lambda        
  •  Cloud-Native Architecture: Cloud-native architecture is an approach that utilizes cloud computing to build and run applications. It allows for rapid development, deployment, and scaling of applications. There are 3 major platforms available in the market Amazon Webservices(AWS) , Azure and Google Cloud Platform(GCP).
  •  Event-Driven Architecture: Event-driven architecture is a design pattern where the system responds to events that occur within the system or in external systems. It allows for a decoupled and scalable system that can handle large volumes of data. Kafka, Azure Message Queues are most widely used in event driven architecture.
  •  Domain-Driven Design: Domain-driven design is a design pattern that focuses on modeling the business domain and its behaviors in software. It allows for better collaboration between business stakeholders and developers, leading to more effective software solutions.
  •  Distributed Systems: Distributed systems are a collection of independent computers that communicate and coordinate with each other to accomplish a common goal. Designing distributed systems requires careful consideration of communication protocols, data storage, and fault tolerance. All major cloud platforms offers variety of services for distributed systems. 
  •  Scalability: Scalability is the ability of a system to handle increasing amounts of traffic or data without sacrificing performance, it can be Horizontal scaling where you add more servers or it can be Vertical scaling where you increase power of existing servers.. Designing scalable systems requires careful consideration of architecture, data storage, and load balancing.



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