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Distributed Systems

Distributed systems are computing systems where components located on networked computers communicate and coordinate their actions by passing messages to achieve a common goal. They are designed to handle large-scale data processing, improve reliability through redundancy, and enable scalability across multiple machines. Key characteristics include concurrency, lack of a global clock, and independent failure of components.

Also known as: Distributed Computing, Decentralized Systems, Cluster Computing, Cloud Systems, Networked Systems
🧊Why learn Distributed Systems?

Developers should learn distributed systems to build scalable, fault-tolerant applications that can handle high loads, such as web services, cloud platforms, and big data processing. This is essential for modern software development where systems must operate across multiple servers or data centers to ensure availability and performance. Use cases include microservices architectures, distributed databases, and real-time data streaming.

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