The JusDB Database Engineering Blog

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.

Model DynamoDB data with single-table design. Covers composite sort keys, GSI design for multiple access patterns, and on-demand vs provisioned capacity.

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.

Configure Aurora Serverless v2 for production workloads. ACU sizing, RDS Proxy integration, CloudWatch monitoring, and cost vs provisioned comparison.

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

A detailed comparison of Google Cloud SQL, Amazon RDS, and Azure Database for MySQL and PostgreSQL — HA architecture, failover times, connection pooling, pricing for equivalent instances, and platform-specific features.

Aurora PostgreSQL offers sub-30-second failover and 15 read replicas but costs more per instance and adds per-I/O pricing. Learn when Aurora's HA wins over RDS simplicity with real cost modeling for 2025.

mysqld_exporter exposes 300+ MySQL metrics for Prometheus. Learn to deploy it, configure essential alerting rules for connection saturation and replication lag, and build production dashboards in Grafana.

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.