Fully managed SQL Server, PostgreSQL, and MySQL on AWS - with Multi-AZ deployments, read replicas, automated backups, performance tuning, and ongoing DBA support.
Amazon RDS takes the heavy lifting out of relational database management - handling provisioning, patching, backups, and failover automatically. But choosing the right engine, instance class, storage type, and configuration settings makes an enormous difference to performance, reliability, and cost.
At DynamicUnit, we design, deploy, and manage RDS environments for SQL Server, PostgreSQL, MySQL, and Aurora. We configure Multi-AZ deployments for high availability, read replicas for reporting offload, and parameter groups for workload-specific tuning. We also handle database migrations to RDS with minimal downtime and full data validation.
RDS pairs naturally with our Amazon EC2 compute services for full-stack AWS deployments. For teams building on the Microsoft stack, our .NET development practice delivers applications that sit cleanly on top of RDS SQL Server. And when you need analytics on top of your operational data, our data warehousing team can replicate and model that data for reporting.
High-throughput transactional databases for shopping cart platforms, customer data, and product catalogues with read replicas for reporting.
RDS SQL Server backends for ERP systems, Dynamics integrations, and line-of-business applications with Multi-AZ for zero-downtime failover.
Encrypted RDS instances for transaction processing, regulatory reporting, and audit-trail databases with strict access controls and compliance logging.
HIPAA-eligible PostgreSQL and Aurora deployments for patient records, clinical systems, and health informatics platforms with point-in-time recovery.
From initial design and migration through to ongoing performance management - here's what our RDS practice delivers.
Select the right engine, instance class, storage type (gp3 vs io1), and parameter configuration for your specific workload characteristics and growth profile.
Deploy Multi-AZ RDS instances with synchronous replication and automatic failover to a standby in a different Availability Zone - with sub-60-second failover times.
Deploy read replicas in the same region or cross-region to offload reporting queries, reduce primary instance load, and support disaster recovery scenarios.
Migrate from on-premises SQL Server, PostgreSQL, or MySQL to RDS using AWS Database Migration Service - with schema conversion, validation, and minimal downtime cutover.
Use Performance Insights, Enhanced Monitoring, and query analysis to identify slow queries, index gaps, and parameter settings that limit throughput.
Configure automated backup retention windows, manual snapshots, and test point-in-time recovery to validate your actual RPO - not just the theoretical one.
Encrypt RDS instances at rest with KMS, enforce SSL in transit, deploy in private subnets, configure security groups, and manage IAM database authentication.
CloudWatch dashboards, custom metric alarms, and a named DBA team for proactive maintenance, patch scheduling, and rapid response to performance incidents.
RDS manages the infrastructure - but a poorly configured RDS instance is just as slow, insecure, and expensive as a poorly managed on-premises database. Here's what good configuration and ongoing care actually looks like.
We know SQL Server, PostgreSQL, MySQL, and Aurora deeply - parameter tuning, query optimisation, and engine-specific gotchas that generic cloud architects miss.
Encryption at rest and in transit, private VPC deployment, least-privilege IAM database auth, and regular security group audits are included - not optional upgrades.
We plan migrations with pre-migration validation, parallel-run periods, row count reconciliation, and tested rollback procedures before cutover night.
We monitor query execution plans, wait statistics, and index fragmentation - catching performance degradation before it becomes an outage or a user complaint.
We right-size instances using actual workload metrics, apply Reserved Instance pricing for stable environments, and identify Aurora Serverless opportunities.
We don't just configure backups - we test point-in-time recovery and failover procedures on a schedule, so you know your actual RTO before an incident occurs.
We analyse your current database engines, sizes, query patterns, availability requirements, and compliance needs. You get an RDS architecture recommendation with cost projections.
We provision RDS instances with the right engine, instance class, and storage type. Multi-AZ, parameter groups, security groups, and encryption are configured from the start.
We migrate your data using AWS DMS with CDC replication, validate row counts and data integrity, and run a parallel period before cutover. See our data migration methodology.
Ongoing monitoring via Performance Insights and CloudWatch, proactive tuning, patch scheduling, backup validation, and SLA-backed incident response from named database engineers.
Tell us your current database engines, sizes, and pain points - we'll map out a migration and management approach that works for your environment.
