Reducing AWS Aurora Cost Without Sacrificing Performance
Content Overview
1. Abstract
2. Introduction
2.1 Instance resizing
2.2 Moving READ traffic to reader instances
2.3 Tuning queries to reduce database load and resource utilization
2.4 Using database reserved instances
2.5 Database Savings Plan
3. The Right Strategy
1. Abstract
As organizations scale their cloud infrastructure, database, and storage costs often grow unchecked, and left unattended, this growth becomes exponential. What begins as a manageable monthly bill can compound rapidly as data volumes expand, traffic patterns evolve, and provisioned resources sit underutilized, quietly accumulating charges in the background. Without deliberate intervention, AWS database costs can spiral far beyond what the underlying business growth would justify.
This paper examines the mechanisms behind runaway database costs on AWS and presents a structured set of strategies to bring them under control. We explore right-sizing database instances to align compute and memory allocation with actual workload demands, and discuss traffic-based scaling techniques that...
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