Evolution of Microservice Architecture and Its Essential Technology Stack
This article traces the historical development of microservice architecture from monolithic to distributed services, outlines its advantages and drawbacks, and presents a comprehensive technology stack—including service communication, API gateways, authentication, fault tolerance, logging, configuration, containerization, orchestration, and CI/CD—to guide practitioners in building robust, scalable backend systems.
Software design has grown in scale and complexity, driving higher demands for performance, throughput, stability, and scalability, which in turn have spurred the evolution of architectural concepts such as distributed systems, SOA, microservices, and middle platforms.
The author records their learning journey of microservices, sharing personal insights, diagrams, and inviting feedback for collective improvement.
Architecture Evolution
Three stages are described: Monolithic (single-process applications with simple development but poor maintainability and scalability), Vertical Splitting (independent deployments per business domain, improving isolation but increasing storage complexity), and Distributed Services (service-oriented decomposition with independent processes, offering high cohesion and low coupling but introducing challenges like data consistency, increased operational cost, and network overhead).
Microservice Architecture
Microservices build on mature distributed architectures, further decomposing services into fine-grained, independently deployable units, providing high availability, scalability, language heterogeneity, and rapid market response, while also increasing development difficulty and runtime overhead.
Key Technologies
Service communication: WebService, WCF, WebAPI, ASHX, ASPX.
Process communication: .NET Remoting, gRPC.
API Gateway (Ocelot): routing, aggregation, discovery, authentication, rate limiting, circuit breaking, load balancing.
Authentication & Authorization: IdentityServer4 (OpenID Connect, OAuth2.0).
Transient fault handling: Polly library for retries, circuit breaking, timeout, fallback.
Distributed tracing: APM tools (e.g., SkyAPM).
Distributed logging: Exceptionless, ELK/Elastic Stack.
Configuration center: Apollo (Java & .NET clients).
Distributed lock: Consul, Redis, ZooKeeper, database.
Distributed transaction: 2PC, 3PC, TCC, Saga, local message tables with RabbitMQ.
Containerization: Docker engine and client‑server model.
Container orchestration: Kubernetes for automated deployment, scaling, and self‑healing.
CI/CD: Jenkins for continuous integration and delivery.
The article concludes with a personal note to continue documenting and researching each technology component in depth.
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