Cloud Infrastructure Patterns for Scalable Apps
Cloud Infrastructure Patterns for Scalable Apps Building apps that scale with demand is a steady process. The right patterns help you stay fast, reduce risk, and keep costs predictable. This guide highlights practical patterns you can mix and match for servers, databases, and services in the cloud. Core patterns that support scalability: Stateless services that handle requests without relying on local memory. Autoscaling groups and serverless functions that grow and shrink with load. Load balancing to distribute traffic across healthy instances. Caching layers to reduce repeated work and slow data stores. Message queues and event streams for smooth, decoupled flows. Data partitioning and read replicas to spread load and improve reads. Multi-region deployment for lower latency and continuity. Infrastructure as code to automate provisioning and changes. Observability with metrics, traces, and logs to spot issues early. Practical tips for teams: ...