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Amazon Aurora for PostgreSQL: Internals and Performance Optimization.pdf
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Amazon Aurora for PostgreSQL: Internals and
Performance Optimization
Welcome to this comprehensive exploration of Amazon Aurora for PostgreSQL. Throughout this presentation, we'll examine how th is
cloud-native relational database combines PostgreSQL compatibility with enterprise-level performance and availability, while
maintaining the cost-effectiveness and simplicity of open-source databases.
We'll delve into Aurora's unique architecture, reveal performance optimization strategies, and share advanced techniques to h elp you
maximize your database efficiency. By the end of this presentation, you'll have a deeper understanding of Aurora PostgreSQL's
internals and practical knowledge to implement effective optimization techniques.
by Shiv Iyer
Agenda
Aurora Architecture
Understanding the unique architectural design that powers Aurora PostgreSQL
Performance Optimization
Techniques for maximizing performance through instance sizing, query tuning, and Aurora-specific features
Monitoring & Maintenance
Best practices for ongoing monitoring and database maintenance
Advanced Techniques
Advanced tips and strategies to leverage Aurora's full potential
Storage Subsystem: Decoupled Architecture
Traditional PostgreSQL
In standard PostgreSQL implementations, compute and
storage are tightly coupled. When you scale, you must scale
both together, even if you only need more of one resource.
Data is typically stored on local disks or attached storage
volumes, limiting flexibility and requiring manual replication
configuration for high availability.
Aurora PostgreSQL
Aurora decouples compute from storage, using a distributed
storage layer that automatically replicates data across multiple
Availability Zones for high durability.
This architecture allows independent scaling of compute and
storage resources, enabling more efficient resource utilization
and cost management while maintaining continuous
availability.
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