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.

Choose the optimal EC2 instance for your database workload. Compare R, X, I, and Graviton families with real-world benchmarks and cost-performance analysis.

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

Use Aurora Serverless v2 for cost-effective scaling — ACU configuration, scaling behavior, and when it fits

Deploy Aurora Global Database for sub-second cross-region replication. Understand storage-level replication, planned failover vs unplanned, and write forwarding for read regions.

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.

AWS DMS can migrate terabytes of data with zero downtime — but default settings leave significant performance on the table. Here's how to tune DMS for production-grade migrations.

Build a production database DR runbook covering RTO/RPO definitions, failover steps, PITR recovery commands, and a verification checklist. Test it quarterly.

Design multi-region database topologies for global latency and DR. Compares active-passive, Aurora Global Database replication, and application-level read routing patterns.

MongoDB Atlas M30 costs 5.6x more than equivalent EC2 instances, but self-hosted TCO includes DBA labor that most comparisons ignore. Here's the honest math and when each option wins.

Secure database credentials with AWS Secrets Manager, automatic rotation, Kubernetes secrets, and git-secrets scanning. Never hardcode connection strings.

Design DynamoDB access patterns with composite keys, sparse GSIs, paginated queries, transactions, and evidence-based capacity planning.