Distributed Systems
A distributed system is a collection of independent computers that appear to its users as a single coherent system.
Essential for modern web performance, lazy loading is a core component of Core Web Vitals (CWV) optimization. It is used extensively in infinite scroll feeds (like Twitter/X) and media-heavy blogs.
graph LR
Center["Distributed Systems"]:::main
Rel_design_pattern["design-pattern"]:::related -.-> Center
click Rel_design_pattern "/terms/design-pattern"
Rel_function["function"]:::related -.-> Center
click Rel_function "/terms/function"
Rel_von_neumann_architecture["von-neumann-architecture"]:::related -.-> Center
click Rel_von_neumann_architecture "/terms/von-neumann-architecture"
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🧒 Erkläre es wie einem 5-Jährigen
Imagine you have a giant puzzle with 10,000 pieces. If you try to do it alone, it takes days. But if you invite 10 friends, give them each 1,000 pieces, and they all work at their own tables, you finish in hours. A distributed system is just a team of computers working on a giant puzzle together and sharing their results.
🤓 Expert Deep Dive
Technically, distributed systems are governed by 'The Eight Fallacies of Distributed Computing', with 'The network is reliable' being the first incorrect assumption. To manage state across nodes, we use 'Consensus [Algorithms](/de/terms/consensus-algorithms)' like Paxos or Raft. We must also handle 'Clock Skew' where different computers have slightly different times—this is often solved with 'Logical Clocks' or 'Vector Clocks' to determine the order of events. Modern architectures have shifted toward 'Microservices', where small, independent components communicate over HTTP or gRPC. Key challenges include 'Distributed Transactions' (often using 2-Phase Commit) and ensuring 'High Availability' through 'Replication' and 'Load Balancing'.