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Total Size:
26.6 MB
Info Hash:
682A9B349A7BA491C79B801564C85C3190AF0E4B
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Added:
July 21, 2025, 10:58 a.m.
Stats:
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(Last updated: July 21, 2025, 11:01 a.m.)
| File | Size |
|---|---|
| Gupta_Code.zip | 48.6 KB |
| Gupta A. Cloud Application Architecture Patterns...2025.pdf | 6.1 MB |
| Brown K. Cloud Application Architecture Patterns. Designing, Building,...2025.pdf | 20.5 MB |
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15.2 MB
[20
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2025-02-24
| Uploaded by indexFroggy | Size 15.2 MB | Health [ 20 /1 ] | Added 2025-02-24 |
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26.6 MB
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2025-07-21
| Uploaded by andryold1 | Size 26.6 MB | Health [ 0 /119 ] | Added 2025-07-21 |
NOTE
SOURCE: Gupta A. Cloud Application Architecture Patterns...2025
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COVER
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MEDIAINFO
Textbook in PDF format Cloud computing has become the foundation of modern software delivery, powering everything from agile startups to global enterprises. As businesses race to modernize, understanding how to design cloud-native applications that scale, recover, and evolve has never been more essential. This book steps in as your go-to guide for navigating the architectural challenges of today's dynamic cloud landscape. This book systematically covers cloud evolution, from traditional IT to IaaS, PaaS, and SaaS, including deployment models and data concepts. You will master fundamental principles like scalability and resource pooling, then explore service models in depth with migration case studies. Chapters detail practical scalability patterns (load balancing, auto-scaling, partitioning) and resiliency patterns (health monitoring, circuit breakers). Essential data management and crucial security patterns (identity, encryption, compliance) are covered. Finally, you will learn advanced messaging and integration patterns, robust monitoring and observability patterns vital for DevOps, and explore future trends like serverless, edge, and AI integration. Microservices encourage freedom of choice in technologies. Teams can select the best tool for the job, whether it is Golang for high-performance services, Python for Machine Learning, or Java for enterprise-grade components. However, this flexibility comes with a need for standardized governance around observability, security, and deployment practices to ensure consistent performance and maintainability. Each microservice should be treated like a product, with dedicated ownership and a long-term lifecycle in mind. This mindset ensures better support, maintainability, and customer-centric evolution of services. By the end, you will possess comprehensive knowledge and practical understanding of cloud application design, ready to confidently architect, deploy, and manage effective, secure cloud solutions. Welcome to the architecture you have always wanted to design. Introduction to Cloud Computing - This chapter sets the stage by explaining the why behind the book; what it covers, who it is for, and how it is structured. It introduces key cloud architecture concepts while sharing a personal lens from years of practical experience. Evolution of Cloud Computing - Here, we zoom out and take a historical lens on how cloud computing came to redefine software delivery. Fundamental Concepts - Before you can architect Services and Deployment Models - This chapter decodes the alphabet soup of IaaS, PaaS, SaaS, FaaS, and deployment models like public, private, and hybrid clouds. We explore where each shines and where Scalability Patterns - Scalability is not just about handling growth, it is about handling it gracefully. Resiliency Patterns - Failure in the cloud is not a matter of if, but when. both a blessing and a balancing act. Security Patterns - Security is just not a feature; it is a responsibility. In this chapter, we unpack how identity management, encryption, API security, and threat modeling come together in a modern cloud stack. Messaging and Integration Patterns - In a world of microservices and distributed systems, communication is everything. Monitoring and Observability Patterns - You cannot fix what you cannot see. Future Trends
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