Why Serverless Architecture Lets You Focus on Business Logic—and How to Apply It

Serverless architecture, as defined by CNCF, combines Function‑as‑a‑Service (FaaS) and Backend‑as‑a‑Service (BaaS) to provide a design that abstracts servers, offers automatic elasticity, and charges based on actual usage.

Static Web Site

For a simple information‑display site, three deployment options are compared:

Host a physical server in an IDC.

Rent a cloud VM with load balancers for high availability.

Use a static‑site approach backed by object storage (OSS) and CDN, which embodies a Serverless model.

The Serverless static‑site option delivers superior operability, scalability, cost efficiency, and security by eliminating server management.

Monolith and Microservice Applications

Static pages suit low‑frequency content, while dynamic pages require more complex handling. Two common solutions are presented:

Web monolith : All logic resides in a single application with a database, suitable for simple workloads.

Microservice architecture : Business functions are split into independent services, improving autonomy and scalability but introducing distributed‑system challenges such as load balancing and failure handling.

Serverless principles—focusing on business logic—guide the choice of underlying services, whether managed databases, serverless compute, or Serverless Application Engine.

Event‑Driven Scenarios

For media‑intensive workloads (image/video upload and processing), three architectural evolutions are described:

Traditional server‑based monolith.

Server‑based microservices with OSS, message queues, and CDN.

Pure Serverless: Direct upload to OSS triggers functions that process and store results, with OSS+CDN serving the final content.

The Serverless approach eliminates the need for dedicated servers, load balancers, and message‑queue management, providing automatic scaling and pay‑per‑use.

Workflow Orchestration

Complex distributed write scenarios, such as e‑commerce order processing, can be handled via two patterns:

Event‑driven Saga : Services react to events on a message bus, optionally using functions, but can become hard to observe as the flow grows.

Workflow‑based Saga : A central coordinator (workflow service) orchestrates steps, simplifying state management but requiring reliable coordination infrastructure.

Serverless workflow services offload orchestration, allowing developers to concentrate on business state.

Data Pipeline

When data volume grows, a Serverless data pipeline can be built using:

Log Service (SLS) for collection and delivery.

Function Compute (FC) for real‑time processing of logs.

Serverless Workflow for scheduled batch ETL jobs.

Data Lake Analytics (DLA) for interactive, serverless SQL queries across OSS, relational databases, and NoSQL stores.

Summary

Across the discussed scenarios, Serverless consistently removes non‑business responsibilities from developers, reducing operational burden and cost while maximizing focus on core product value. The mantra “Less is more” applies: fewer servers, fewer management tasks, more business innovation.