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Azure Patterns for Real-World Apps: Resilient by Design

by Kameron Hussain
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Current price ₹2,153.00
Original price ₹2,375.00
Original price ₹2,375.00
Original price ₹2,375.00
(-9%)
₹2,153.00
Current price ₹2,153.00

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Book cover type: Paperback
  • ISBN13: 9798281497848
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 378
  • Original Price: GBP 18.77
  • Language: English
  • Edition: N/A
  • Item Weight: 504 grams
  • BISAC Subject(s): Programming / Games

Build resilient, scalable applications on Microsoft Azure using proven design patterns.

"Azure Patterns for Real-World Apps: Resilient by Design" is a practical guide for developers, architects, and IT professionals looking to build cloud-native applications that are robust, fault-tolerant, and production-ready. With a focus on real-world scenarios, this book explores modern architectural patterns and best practices for deploying mission-critical systems on Azure.

From microservices and serverless architectures to distributed systems and observability, the book delves into how to design applications that recover gracefully from failures, scale efficiently under load, and maintain high availability. Each chapter includes actionable strategies, code samples, and architectural diagrams to bring concepts to life.

You'll discover:

How to leverage Azure services like Azure Kubernetes Service (AKS), Azure Functions, Azure Cosmos DB, and Azure Service Bus

Key design patterns for reliability, scalability, and security in the cloud

Techniques for implementing retries, circuit breakers, load balancing, and geo-redundancy

Real-world case studies and examples illustrating pattern implementation

Monitoring, diagnostics, and DevOps integration for resilient operations

Whether you're migrating existing systems to Azure or building new cloud-native apps from scratch, this book equips you with the patterns and tools needed to succeed in the dynamic world of cloud computing.

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