Distributed Systems

This article defines eventual consistency, compares it to strong consistency, and outlines the strategic trade-offs founders must consider when building scalable distributed software architectures.

Edge computing moves data processing closer to the source. This reduces latency and bandwidth usage. Startups use it for real-time decision making in IoT and distributed systems.

The CAP Theorem forces founders to choose between data consistency and system availability during network failures. Understanding this trade-off is critical for building scalable, reliable startup technology.