Design Principles

Distributed systems face reliability challenges across every layer of the stack—from Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) up through Software as a Service (SaaS) applications—and across every phase of the software lifecycle. The following principles help you build systems that remain stable and recoverable under real-world conditions.

Failure-oriented architecture

Failures are unavoidable in distributed systems. Network latency, hardware failures, software defects, and traffic spikes will occur regardless of how carefully a system is built. Design for failure from the start by embedding redundancy, fault isolation, graceful degradation, and elasticity directly into your architecture. This approach keeps your system available and reliable even when individual components fail.

Fine-grained operability and control

As business scope expands and services decompose, distributed systems grow more complex. Rapid service iteration, multiple concurrent versions, and real-time business requirements compound this complexity, increasing operational uncertainty. Reduce that uncertainty by applying fine-grained controls: version management, canary releases, monitoring, alerting, and automated health checks. These practices give you precise, deterministic control over system behavior and improve overall stability.

Risk-oriented incident recovery

Redundancy and high availability reduce failures but cannot eliminate them. Build an efficient incident management process and a reliable technical platform that covers the full incident lifecycle: real-time failure detection, coordinated team response, accurate incident logging, rapid loss containment and recovery, and structured post-incident review. This end-to-end approach shortens response times, limits blast radius, prevents recurrence, and raises the system's overall availability.