scalabilitydesigning
Scalability designing is the practice of shaping systems, software, and architectures to accommodate growth in traffic, data volume, and users while preserving acceptable performance and reliability.
Core strategies include horizontal scaling, where more compute nodes are added, and vertical scaling, where existing
Data scalability often relies on partitioning (sharding), replication, and caching. Distributed databases, read replicas, and eventual
Best practices include capacity planning, defining performance budgets, and conducting load and soak tests. Observability — including
Common challenges and trade-offs involve increased complexity, higher operational costs, data consistency concerns, and latency versus
Good scalability design articulates measurable objectives, such as response time targets and error rate limits, and