A Comprehensive Guide to Microservice Architecture and Its Technology Stack

1. Introduction Over recent years, software design has grown in scale and complexity, demanding higher performance, throughput, stability, and scalability. Business needs drive architectural evolution, giving rise to terms like "distributed", "SOA", "microservices", and "mid‑platform". This article records the author's learning journey of microservices, including implementation details and personal insights.

2. Evolution of Architecture

2.1 Monolithic Architecture All code runs in a single process, offering simple development and no distributed overhead, but suffers from poor maintainability, scalability, and high coupling, making it unsuitable for high‑concurrency or large‑data scenarios.

2.2 Vertical Splitting Large systems are divided by business domains (e.g., flash sale, fresh goods, supermarket). This improves independence and manageability but increases storage complexity and still retains monolithic characteristics within each split.

2.3 Distributed Services As systems grow, vertical splitting leads to duplicated modules (user, log, payment, auth). Service‑oriented decomposition reduces duplication and improves reuse, marking the start of distributed service architecture.

2.4 Microservice Architecture Building on mature distributed technologies, microservices further decompose business logic into fine‑grained, independently deployable services, enabling high availability, scalability, language‑agnostic development, and agile iteration.

2.5 SOA (Service‑Oriented Architecture) SOA defines services with well‑designed interfaces and protocols, serving as a conceptual predecessor to microservices.

3. Development Stages of Microservice Architecture

To achieve high availability and scalability, various solutions have emerged:

V1 – Centralized Proxy (Nginx) : Manual service registration, basic load balancing, simple client implementation.

V2 – Embedded Client (Consul) : Automatic service registration/discovery, health checks, client‑side load balancing.

V3 – Service Mesh : Sidecar proxies manage registration, discovery, and traffic control; still maturing.

4. Essential Microservice Technology Stack

Although the author uses .NET, the stack is language‑agnostic. Key components include:

Service Communication : WebService, WCF, WebAPI, ASHX/ASPX (HTTP, cross‑platform, cross‑language).

Process Communication : Net Remoting (Windows only), gRPC (high‑performance, recommended).

API Gateway (Ocelot) : Routing, aggregation, service discovery, authentication, rate limiting, circuit breaking, built‑in load balancing.

Authentication & Authorization : IdentityServer4 (OpenID Connect & OAuth2.0 for ASP.NET Core).

Transient Fault Handling : Polly library for retries, circuit breakers, timeouts.

Distributed Tracing : Tools such as Zipkin or Jaeger (not detailed).

Logging & APM : Exceptionless, ELK/Elastic Stack for centralized log collection and analysis.

Configuration Center : Apollo (Ctrip) for centralized config management.

Distributed Locks : Consul, Redis (recommended), Zookeeper, database.

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

Containerization : Docker engine for packaging applications into portable images.

Container Orchestration : Kubernetes for automated deployment, scaling, and management of containerized services.

CI/CD : Jenkins for continuous integration and automated build/test pipelines.

5. Conclusion The author records the current state of microservice architecture and its ecosystem, intending to deepen each component later. Continuous learning and incremental improvement are encouraged.