Monitoring your Amazon Aurora PostgreSQL-Compatible and Amazon RDS PostgreSQL from integer sequence overflow

This article provides a comprehensive guide to monitoring and preventing integer sequence overflow in Amazon Aurora PostgreSQL-Compatible and Amazon RDS PostgreSQL databases. Key points include:

• Integer sequence overflow occurs when a program attempts to store an integer value beyond its maximum representable value
• PostgreSQL has three integer types: smallint, integer, and bigint, with different storage sizes and ranges
• Common causes of overflow include incorrect data type selection, application bugs, and unexpected data growth
• The article demonstrates how to detect sequence percentage using SQL queries
• A Lambda function is proposed to monitor sequence values and send SNS alerts when approaching maximum limits

The article provides multiple strategies for addressing sequence overflow, including:

• Utilizing negative numbers
• Modifying column data types
• Creating new BIGINT columns
• Using UUIDs as alternative identifiers

Best practices include selecting appropriate data types, applying logic checks, frequent monitoring, and considering UUID alternatives.