A Comprehensive Guide to Microservice Architecture and Its Evolution

In recent years, software design has grown in scale and business requirements have become more complex, demanding high performance, throughput, stability, and scalability; these pressures have driven architectural shifts and introduced terms such as distributed, SOA, microservices, and middle‑platform.

The article outlines the historical development of architecture: monolithic applications, vertical business splitting, distributed services, microservice architecture, and SOA.

Monolithic architecture runs the entire application in a single process, offering simple development and no distributed overhead, but suffers from poor maintainability, difficult upgrades, tight coupling, inability to handle high concurrency, and a single point of failure.

Vertical splitting separates large systems into independent business domains (e.g., flash sales, fresh goods), allowing independent deployment and maintenance, but increases storage complexity and code duplication.

Distributed services further decompose functionality into independent services that communicate across processes, reducing duplication and improving reuse, yet introduce challenges such as data consistency, system availability, higher design and debugging costs, and network overhead.

Microservice architecture refines distributed services into many small, language‑agnostic services with low coupling, independent deployment, and rapid market response, but it raises development difficulty and runtime overhead due to increased inter‑service communication.

Service‑Oriented Architecture (SOA) is a component model that splits application functionality into services with well‑defined interfaces and protocols.

The evolution of microservice implementations is described in three versions: V1.0 – Centralized proxy (Nginx) with manual service registration and discovery; V2.0 – Client‑embedded Consul providing automatic registration, health checks, and client‑side load balancing; V3.0 – Service Mesh using sidecar proxies and a control plane, though still immature.

The article then lists the essential microservice technology stack:

Service communication: WebService, WCF, WebAPI, ASHX/ASPX.

Process communication: .NET Remoting, gRPC (recommended).

API gateway: Ocelot (routing, aggregation, discovery, auth, rate‑limiting, circuit‑breaker, load‑balancing, Service Fabric, tracing).

Authentication & authorization: IdentityServer4 (OpenID Connect, OAuth2.0).

Transient fault handling: Polly library.

Distributed tracing: sidecar‑based tracing solutions.

Logging: Exceptionless, ELK/Elastic Stack (Beats).

Configuration center: Apollo (centralized config, real‑time push).

Distributed lock: Consul, Redis (recommended), Zookeeper, DB.

Distributed transaction: 2PC, 3PC, TCC, Saga, local message tables (RabbitMQ recommended).

Containerization: Docker (C/S architecture, daemon, client).

Container orchestration: Kubernetes (automatic deployment, scaling, load‑balancing, self‑healing).

CI/CD: Jenkins.

Finally, the author concludes that this record serves as a personal reference for future deep‑dives into each technology, aiming for continuous improvement.