24 docs tagged with "quality-attributes"

How to tell architecture decisions from design and implementation, with cues, examples, and a flow.

Design highly available systems with redundancy, failover, and graceful degradation.

Essential optimization patterns: caching for latency, batching for throughput, queueing for resilience.

Test API contracts between services; catch breaking changes early with CDC.

Optimize cloud spend; balance performance with cost through architecture decisions.

Degrade features rather than fail completely; use kill switches to disable features during incidents.

Design systems that work across platforms and integrate with other systems.

Understand the international standard for software product quality and map it to practical architectural decisions.

Define end-to-end latency targets, track SLOs, and communicate availability guarantees via SLAs.

Validate system behavior under various load conditions to ensure performance and reliability targets.

Test quality attributes: performance, security, resilience, accessibility.

Observability and Operations is covered in Section 12. This brief mentions key concepts and links.

Design systems that respond quickly and scale horizontally to handle increasing load while maintaining latency budgets.

Identify performance bottlenecks using profilers, distributed tracing, and flamegraphs

How to choose and combine programming paradigms per component to meet quality attributes like latency, correctness, and evolvability.

Master the ISO/IEC 25010 model and implement performance, reliability, maintainability, testability, usability, and cost-efficiency.

Identify stakeholders, elicit their concerns, and reconcile trade-offs into architecture decisions

Master the fundamentals of systems thinking for software architecture: components, connectors, configurations, interfaces, and abstractions to reason about change, risk, and evolution.

Manage test data effectively using fixtures, factories, and synthetic data.

Write tests that are independent, repeatable, and not flaky.

Design systems that are easy to test with clear isolation, determinism, and test data management.

Design comprehensive testing strategies aligned with quality attributes and risk.

Design inclusive systems that work for all users, including those with disabilities.

High-impact, hard-to-reverse decisions that shape system structure, qualities, and evolution.