Translation of 32 Cloud Design Patterns for Cloud‑Native Applications
This article presents a Chinese translation of 32 cloud design patterns originally documented by the Azure cloud team, explaining how these patterns—covering availability, data management, security, scalability, and more—can guide enterprises in migrating monolithic applications to cloud‑native architectures across any major cloud provider.
With rapid technological development, application architectures have evolved from monolithic, layered, and SOA models toward microservices, while infrastructure has shifted from mainframes and self‑built data centers to services hosted on cloud platforms. All of this aims to launch web and mobile applications faster and more securely, providing high scalability, elasticity, and self‑recovery from both architectural and infrastructural perspectives.
Microservices give applications architectural scalability and are well suited to run on cloud‑provided VMs or containers, while programmable interfaces of cloud services make infrastructure automation exceptionally easy, facilitating the adoption of DevOps. Cloud adoption by enterprises has become an irreversible trend.
However, because of the large number of legacy systems, directly porting enterprise applications to the cloud without modification is often impractical. Although we can apply microservice decomposition strategies—based on functionality, data, DDD principles, etc.—to make applications more cloud‑ready, many challenges still arise during actual implementation.
The Azure cloud computing team has summarized cloud design patterns from the perspectives of availability, data management, design and implementation, messaging, management and monitoring, performance and scalability, resilience, and security, offering practical patterns and case studies for enterprise cloud migration. Although the examples use Azure services, readers can apply the same patterns with other providers such as AWS, GCP, or Huawei Cloud to smooth the migration process.
Coincidentally, my colleagues and I are also researching Cloud‑Native technologies, and we spent a weekend translating these 32 cloud design patterns. Our translation is limited by time and skill, so we apologize for any issues; please feel free to open an issue or submit a PR on GitHub, which we greatly appreciate.
Note: During translation we discovered that some of the cloud design patterns had already been partially translated three years ago, but the coverage was incomplete and readability was average, so we decided to complete the translation.
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iambowen@github
boweniam@twitter
@tongzh
@wldandan
gitbook address:
https://iambowen.gitbooks.io/cloud-design-pattern/content/
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