Cloud and Architecture

Serverless Architectures Pros Cons and Use Cases Serverless architectures shift the burden of server management to cloud providers. You write small, event-driven functions and the provider runs them on demand. This can simplify development and help teams move faster, but it also changes trade-offs you must manage. The right choice depends on traffic patterns, latency requirements, and how you want to operate. Pros Lower operational overhead because the platform handles servers, provisioning, and patching. Automatic scaling that adapts to traffic without manual intervention. Pay-per-use cost model that can reduce expenses for sporadic workloads. Faster time to market since teams focus on code and features rather than infrastructure. Built-in reliability from managed runtimes and services in the same ecosystem. These advantages are most visible when work loads vary or small teams want to avoid heavy operations. ...

Microservices Orchestration and Observability Microservices split apps into small, independent parts. This brings speed and resilience, but also adds complexity in how services talk and how you monitor them. Orchestration coordinates tasks and data across services, while observability provides visibility into real behavior in production. Together they help teams move fast without losing control. Orchestration provides rules for calling services, handling failures, and scaling. Observability collects signals from code, containers, and networks to answer questions like where a request slowed down, why a feature failed, or which service is the bottleneck. ...