From Monolith to Microservices: A Comprehensive Journey and Essential Tech Stack
This article traces the evolution of software architecture from monolithic applications through vertical splitting and distributed services to modern microservice architectures, examines their advantages and drawbacks, and outlines a comprehensive technology stack—including service discovery, API gateways, authentication, logging, containerization, orchestration, and CI/CD tools—essential for building scalable, resilient systems.
Introduction
Software design has grown in scale and complexity, driving higher demands for performance, throughput, stability, and scalability. The author records their learning process of microservices, sharing personal insights and diagrams.
Evolution of Architecture
Monolithic Architecture
All code runs in a single process, offering simple development and no distributed overhead, but suffers from poor maintainability, tight coupling, and difficulty handling high concurrency.
Only one technology stack can be used.
System-wide failures occur when a single module fails.
All modules must be deployed together.
Scaling requires clustering the entire application.
Vertical Splitting
Large systems are divided into business‑specific modules (e.g., flash‑sale, fresh goods, supermarket), each deployed independently.
Independent deployment and maintenance.
Reduced coupling, easier to manage.
Increased storage complexity and duplication.
Distributed Services
Business modules become independent services communicating via cross‑process techniques. This reduces code duplication but introduces challenges such as data consistency, increased operational cost, and network overhead.
Independent processes, high cohesion, low coupling.
Independent development and evolution.
Distributed management and isolation.
Service composition enables reuse.
Data consistency and availability become problematic.
Database sharding is required.
Higher design and debugging cost.
Network latency adds overhead.
Not ideal for high‑concurrency or big‑data scenarios.
Microservice Architecture
Microservices refine distributed services by further splitting services into small, independently deployable units. They emphasize availability, scalability, language‑agnostic development, and independent lifecycle.
Support multiple languages or versions.
Low coupling, independent deployment.
Faster response to market changes.
Cluster strategies can target problematic modules.
Increased development complexity.
Higher runtime overhead due to network calls.
Service‑Oriented Architecture (SOA)
SOA defines components as services with well‑defined interfaces, serving as a conceptual predecessor to microservices.
Microservice Evolution Milestones
Centralized Proxy – Nginx V1.0
Manual service registration and discovery.
Load balancing via round‑robin, weight, hash, etc.
New services require manual configuration.
Simple client implementation.
Embedded Client – Consul V2.0
Automatic service registration and discovery.
Health checks remove unhealthy instances.
Clients perform load balancing using Consul data.
Service Mesh – Istio (V3.0)
Sidecar proxies handle registration, discovery, and traffic management; a control plane orchestrates the mesh. Adoption is still limited to large enterprises.
Essential Microservice Technology Stack
Service Communication
WebService, WCF, WebAPI, ASHX, ASPX (Microsoft stack).
Cross‑platform and cross‑language support.
HTTP traversal of firewalls.
Process Communication
Net Remoting (Windows‑only).
gRPC – high‑performance, open‑source RPC framework.
API Gateway (Ocelot)
Ocelot provides routing, aggregation, service discovery, authentication, rate limiting, circuit breaking, and built‑in load balancing.
Authentication & Authorization
IdentityServer4 implements OpenID Connect and OAuth2.0 for ASP.NET Core applications.
Transient Fault Handling
Polly offers retry, circuit‑breaker, timeout, and fallback policies for .NET.
Distributed Tracing
APM tools (e.g., SkyAPM) help visualize request flows across services.
Distributed Logging
Exceptionless – real‑time log collection for .NET.
ELK/Elastic Stack – centralized log aggregation and analysis.
Configuration Center
Apollo provides centralized configuration management for Java and .NET services.
Distributed Locks
Consul, Redis (recommended), ZooKeeper, databases.
Distributed Transactions
2PC, 3PC, TCC, local message tables (RabbitMQ), Saga.
Containerization
Docker packages applications and dependencies into portable images.
Container Orchestration
Kubernetes automates deployment, scaling, and management of containerized workloads.
CI/CD
Jenkins provides continuous integration and automated build/test pipelines.
Conclusion
The author will continue to explore each component in depth, aiming for incremental progress in mastering microservice architecture.
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