Presented by:

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Dane Falkner

RiskRecon (a Mastercard Cyber and Intelligence Company)
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In the realm of database technologies, Aurora Postgres stands out for its robust performance, scalability, and reliability. However, leveraging its full potential requires a deep understanding of both foundational and advanced optimization strategies. This presentation, "Optimizing for Excellence: Advanced Performance Tuning Techniques for Aurora Postgres," is meticulously crafted for intermediate to advanced Postgres engineers aiming to elevate their Aurora databases' efficiency and responsiveness to new heights.

We begin with a comprehensive introduction to Aurora Postgres, focusing on its distinct architecture and the inherent performance advantages it offers over traditional PostgreSQL implementations. This foundation sets the stage for a deep dive into the art and science of performance tuning, starting with indexing strategies. We'll explore how effective use of B-tree, hash, GIN, and GiST indexes can dramatically improve query response times, and discuss maintenance best practices to prevent index bloat and ensure ongoing efficiency.

Query optimization forms the core of our exploration. Attendees will learn advanced techniques specific to Aurora Postgres, including the strategic use of EXPLAIN and EXPLAIN ANALYZE to fine-tune query performance. This section emphasizes the importance of writing efficient SQL queries tailored to Aurora's unique capabilities, ensuring that every query is optimized for speed and resource efficiency.

Aurora-specific features offer additional avenues for performance enhancement. We'll cover how Aurora's distributed storage system, read replicas, and cache management contribute to its high performance. The session will also highlight the benefits of Aurora Global Databases for achieving cross-region performance improvements and foreign data wrappers and partitioning for localizing PII to regions.

The presentation delves into the essential tools and extensions for performance tuning, such as pg_stat_statements and pg_repack, demonstrating their use in identifying and resolving performance issues. This practical guidance equips attendees with the skills to leverage these tools effectively in their own Aurora environments.

Scaling strategies are crucial for maintaining high performance in growing databases. We'll discuss how to scale Aurora Postgres both vertically and horizontally, and how to utilize Aurora Replicas for optimal load balancing and high availability.

Concluding with best practices, this session synthesizes the key takeaways and recommendations for continuous performance optimization in Aurora Postgres. Attendees will leave with a solid framework for tuning their databases, ensuring they remain fast, efficient, and highly available.

This presentation promises a blend of theoretical insights and practical advice, enabling Postgres engineers to unlock the full performance potential of their Aurora databases. Join us to transform your understanding of database optimization and take your Aurora Postgres deployments to the next level of operational excellence.

Date:
2024 April 18 10:30 PDT
Duration:
20 min
Room:
Santa Clara
Conference:
Postgres Conference 2024
Language:
English
Track:
Essentials
Difficulty:
Intermediate