Why Decentralised Applications Don’t Work

Why Decentralised Applications Don’t Work

8/16/2021

link

https://ingrids.space/posts/why-distributed-systems-dont-work/

summary

This blog post discusses the challenges and limitations of distributed systems. It highlights the inherent complexities of designing and managing distributed systems, including issues such as network latency, fault tolerance, and data consistency. The author explains how the distributed nature of these systems can lead to increased complexity and potential failures. It also discusses the trade-offs involved in building distributed systems and the need for careful design and architecture to ensure their reliability. The post concludes by acknowledging that while distributed systems offer many benefits, they also come with their own set of challenges that need to be carefully addressed.

tags

distributed system complexity ꞏ distributed messaging ꞏ cloud computing ꞏ system monitoring ꞏ distributed algorithms ꞏ system resilience ꞏ distributed computing models ꞏ system failure analysis ꞏ distributed cache ꞏ fault-tolerant systems ꞏ system architecture ꞏ load balancing ꞏ distributed system trade-offs ꞏ system debugging ꞏ distributed coordination ꞏ scalability challenges ꞏ distributed system security ꞏ data replication ꞏ distributed systems ꞏ fault detection ꞏ distributed system scalability ꞏ distributed databases ꞏ system management ꞏ network protocols ꞏ system reliability ꞏ distributed system challenges ꞏ fault tolerance ꞏ software engineering ꞏ data consistency ꞏ fault recovery ꞏ distributed system resources ꞏ networked systems ꞏ scalability ꞏ distributed transactions ꞏ performance optimization ꞏ system performance ꞏ distributed consensus ꞏ distributed system patterns ꞏ data partitioning ꞏ distributed computing ꞏ distributed file systems ꞏ reliability ꞏ distributed system design ꞏ cap theorem ꞏ distributed computing paradigms ꞏ computer science ꞏ distributed storage ꞏ system failures