The JusDB Database Engineering Blog

A step-by-step guide to migrating an on-premises Microsoft SQL Server database to Amazon RDS for SQL Server — covering native backup/restore via S3 with the rds_restore_database stored procedure, AWS DMS full-load + CDC for near-zero downtime, option group and IAM setup, cutover, and post-migration hardening.

Understand RDS Multi-AZ for HA and Read Replicas for read scaling — failover behavior, replication lag, and costs

RDS MySQL audit logs stored in CloudWatch cost significantly more than S3 — and most teams don't need real-time log access. Here's how to export audit logs to S3 and cut your AWS bill.

Cut AWS database costs systematically: find over-provisioned RDS with Compute Optimizer, stop dev DBs after hours, buy Reserved Instances, and control storage growth.

Four configuration mistakes account for 60% of AWS database waste. Learn to right-size to Graviton3, convert gp2 to gp3 storage, audit idle replicas, and use Reserved Instances to cut your database bill by 25-40%.

Understand the difference between RDS Multi-AZ and Read Replicas. Decision matrix covering HA, read scaling, Aurora cluster behavior, and cross-region DR.

Aurora and RDS share the MySQL engine but diverge at the storage layer in ways that produce very different cost and performance profiles — the right choice depends entirely on your I/O pattern.

Authenticate to RDS and Aurora using IAM credentials instead of passwords. Eliminates long-lived passwords with 15-minute token-based access. Covers PostgreSQL and MySQL setup.

Cut Amazon RDS costs with right-sizing, Reserved Instances, Aurora Serverless v2, and snapshot lifecycle management. Practical techniques with real savings estimates.

AWS RDS, Aurora, and Aurora Serverless v2 all run MySQL and PostgreSQL — but their pricing models differ dramatically. Learn when to use each and how to avoid expensive I/O surprises.

Master AWS RDS connection limits for MySQL and PostgreSQL. Learn max_connections calculation, connection pooling strategies, and optimization techniques.

A production guide to Amazon Aurora PostgreSQL — the shared storage architecture, fast failover mechanics, Aurora Serverless v2 ACU scaling, Global Database, Parallel Query, and an honest comparison against standard RDS.