Evolution of Enterprise Technical Architecture: From Monolith to Cloud‑Native and DevOps

1. Introduction

Before cloud‑native became popular, microservice architecture was the main focus; the choice of architecture depends heavily on a company's current stage and business problems.

2. Architecture Evolution

Architecture is defined as a set of abstract patterns guiding large‑scale software design. Good architecture supports high concurrency, availability, scalability, maintainability, and security.

Common classifications include business, functional, application, technical, and physical architectures, each serving different abstraction levels.

2.1.1 Monolithic Architecture

Early web applications packaged all services into a single deployable unit, which is simple but becomes a bottleneck as traffic grows.

2.1.2 Distributed Architecture

Scaling horizontally by adding more servers introduces load‑balancing and service separation, reducing coupling and improving stability.

2.1.3 Microservice Architecture

Further decomposes distributed systems into fine‑grained services, offering lower coupling, autonomy, technology heterogeneity, and high availability, while introducing higher operational complexity.

2.1.4 Mid‑Platform (Middle‑Platform) Architecture

Inspired by Alibaba’s “big middle‑platform, small front‑end” concept, it abstracts common capabilities (e.g., user management, pricing) to avoid duplicated development across business lines.

3. Ziru’s Technical Evolution

Ziru, an O2O rental platform founded in 2011, evolved through several stages: early PHP monolith, service‑oriented Java migration (2015‑2018), adoption of Spring Cloud, Nacos, Apollo, and other open‑source tools (2018), DevOps and SRE transformation with Kubernetes (2019‑2020), and the current cloud‑native architecture comprising business, data, and technical middle‑platforms.

4. Problems Faced Before Cloud‑Native

Stability issues manifested as frequent production incidents due to outdated middleware versions, tightly coupled resources, and configuration inconsistencies.

R&D efficiency suffered from lack of digitized lifecycle data, manual release processes, and insufficient CI/CD tooling.

Process and workflow challenges included complex approval steps, poor visibility of build status, and fragmented environment configurations.

5. Summary

The chapter explains core architectural concepts, classifies various architecture types, and recounts Ziru’s ten‑year journey from monolith to a cloud‑native, DevOps‑enabled platform, highlighting the importance of aligning architecture with business needs.