AWS RDS Performance Optimization

Optimize your Amazon RDS or Aurora PostgreSQL workloads with pragmatic, production-ready techniques. We help reduce latency, fix IO bottlenecks, and eliminate inefficient queries using PostgreSQL-native methods without requiring a complete system redesign.

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Overview

This solution delivers targeted PostgreSQL query and replica performance optimization tailored for AWS RDS and Aurora. Designed for engineering teams that experience degraded performance after PostgreSQL upgrades or growth in traffic, our services focus on minimizing risk and cost through:

SQL query analysis using EXPLAIN (ANALYZE, BUFFERS) and pg_stat_statements

Replacing heavy views with materialized views or rewritten joins

Tuning PostgreSQL parameters for RDS and Aurora clusters

Analyzing read replica lag and IO bottlenecks

Introducing cost-effective caching via Redis or materialization

Our work is focused on production applications where performance directly affects end-user experience, and where changes must be lightweight, maintainable, and scalable. Ideal for bootstrapped SaaS companies and cost-aware product teams.

Applies to:

Amazon RDS for PostgreSQL

Amazon Aurora for PostgreSQL

Babelfish for Aurora PostgreSQL

All recommendations comply with AWS Well-Architected principles for performance efficiency and operational excellence.

Highlights

Designed for teams using Amazon RDS or Aurora PostgreSQL Reduces latency and replica IO bottlenecks without overhauling architecture Delivers clean SQL fixes, index tuning, and AWS-native optimizations

Details

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Perfsys

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Pricing

Custom pricing options

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Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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