Latest Availability Articles

Production systems must handle three different forms of pressure: growth, failure, and overload . Scalability addresses growth, availability keeps critical functionality reachable during failures, and stability prevents degraded components or excessive load from causing uncontrolled system-wide fail

The CAP theorem explains one of the most important trade-offs in distributed system design: when a network partition happens, a system must choose between consistency and availability . This article explains what CAP really means, why partition tolerance is unavoidable in distributed systems, and ho

Availability is one of the core goals in system design. It answers a simple but critical question: can users access the system when they need it? A highly available system continues to work despite server failures, database issues, traffic spikes, deployments, network problems, or even regional outa

Availability patterns are system design techniques that keep applications operational during failures, overload, dependency issues, or partial outages.