AWS SQS in Practice (eBook, ePUB)
Definitive Reference for Developers and Engineers
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"AWS SQS in Practice" In "AWS SQS in Practice," readers are guided through the advanced landscape of distributed messaging, leveraging Amazon Simple Queue Service (SQS) to build highly scalable, reliable, and resilient cloud architectures. The book begins by establishing foundational principles of message-oriented middleware, delving into real-world event flow modeling, trade-offs in message semantics, and integration with microservices. It systematically compares SQS to sibling AWS services such as SNS and EventBridge, providing clear decision frameworks for architects and engineers selecting...
"AWS SQS in Practice"
In "AWS SQS in Practice," readers are guided through the advanced landscape of distributed messaging, leveraging Amazon Simple Queue Service (SQS) to build highly scalable, reliable, and resilient cloud architectures. The book begins by establishing foundational principles of message-oriented middleware, delving into real-world event flow modeling, trade-offs in message semantics, and integration with microservices. It systematically compares SQS to sibling AWS services such as SNS and EventBridge, providing clear decision frameworks for architects and engineers selecting messaging platforms for complex cloud environments.
The core of the book offers a deep dive into SQS features, covering both Standard and FIFO queues, advanced error handling with dead-letter queues, batch operations, and message visibility management. Security and compliance are given comprehensive treatment, with sections on designing robust IAM policies, encryption, audit, monitoring, and threat modeling. Readers benefit from practical patterns for integration - including AWS Lambda, Step Functions, on-premises and multi-cloud scenarios - as well as anti-patterns and design pitfalls to avoid in production systems.
Operational excellence is achieved through emphasis on monitoring, tracing, disaster recovery, and automated infrastructure as code using leading AWS tools. Advanced topics incorporate scaling and throughput engineering, handling large payloads, achieving idempotency, transactional messaging, and multi-region patterns. The book is richly illustrated with real-world case studies from enterprise, IoT, serverless, and DevOps automation domains. Looking forward, it explores emerging serverless patterns, SQS ecosystem tools, integration with machine learning workflows, and the ongoing evolution of AWS messaging services, offering both pragmatic guidance and strategic foresight for the modern cloud practitioner.
In "AWS SQS in Practice," readers are guided through the advanced landscape of distributed messaging, leveraging Amazon Simple Queue Service (SQS) to build highly scalable, reliable, and resilient cloud architectures. The book begins by establishing foundational principles of message-oriented middleware, delving into real-world event flow modeling, trade-offs in message semantics, and integration with microservices. It systematically compares SQS to sibling AWS services such as SNS and EventBridge, providing clear decision frameworks for architects and engineers selecting messaging platforms for complex cloud environments.
The core of the book offers a deep dive into SQS features, covering both Standard and FIFO queues, advanced error handling with dead-letter queues, batch operations, and message visibility management. Security and compliance are given comprehensive treatment, with sections on designing robust IAM policies, encryption, audit, monitoring, and threat modeling. Readers benefit from practical patterns for integration - including AWS Lambda, Step Functions, on-premises and multi-cloud scenarios - as well as anti-patterns and design pitfalls to avoid in production systems.
Operational excellence is achieved through emphasis on monitoring, tracing, disaster recovery, and automated infrastructure as code using leading AWS tools. Advanced topics incorporate scaling and throughput engineering, handling large payloads, achieving idempotency, transactional messaging, and multi-region patterns. The book is richly illustrated with real-world case studies from enterprise, IoT, serverless, and DevOps automation domains. Looking forward, it explores emerging serverless patterns, SQS ecosystem tools, integration with machine learning workflows, and the ongoing evolution of AWS messaging services, offering both pragmatic guidance and strategic foresight for the modern cloud practitioner.
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