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Amazon RDS Blueprint: Architecting, Deploying, and Operating Scalable Managed Databases is a practical, authoritative guide that demystifies the architectural and operational foundations of Amazon Relational Database Service. It opens with clear explanations of the managed-services model, high-level deployment patterns, and the tradeoffs among supported database engines, then unpacks control-plane and data-plane behaviors, cloud-native networking, and integrations with core AWS services so readers understand both the how and the why of modern cloud database design.
The book delivers actionable best practices for lifecycle management, security, compliance, and performance tuning. Readers learn robust provisioning and versioning strategies, tagging and automation with Infrastructure as Code, and patterns for high availability, scalability, and disaster recovery. Detailed coverage of IAM-based authentication, encryption, audit logging, and network controls is paired with practical guidance for meeting regulatory standards such as PCI DSS, HIPAA, and GDPR, while advanced chapters address workload tuning, capacity planning, and observability to sustain operational excellence.
Rounding out its coverage, the Blueprint explores advanced and forward-looking topics-Aurora Serverless, hybrid and multi-cloud architectures, machine learning integrations, and platform governance at scale-alongside real-world migration patterns, DevOps workflows, and open-source tooling in the AWS ecosystem. Designed for architects, DBAs, and platform engineers, this book equips practitioners to design, secure, and operate resilient, high-performing managed database platforms.
The book delivers actionable best practices for lifecycle management, security, compliance, and performance tuning. Readers learn robust provisioning and versioning strategies, tagging and automation with Infrastructure as Code, and patterns for high availability, scalability, and disaster recovery. Detailed coverage of IAM-based authentication, encryption, audit logging, and network controls is paired with practical guidance for meeting regulatory standards such as PCI DSS, HIPAA, and GDPR, while advanced chapters address workload tuning, capacity planning, and observability to sustain operational excellence.
Rounding out its coverage, the Blueprint explores advanced and forward-looking topics-Aurora Serverless, hybrid and multi-cloud architectures, machine learning integrations, and platform governance at scale-alongside real-world migration patterns, DevOps workflows, and open-source tooling in the AWS ecosystem. Designed for architects, DBAs, and platform engineers, this book equips practitioners to design, secure, and operate resilient, high-performing managed database platforms.
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