About House of Brick
House of Brick provides cutting-edge software innovation and industry-leading consulting experience to help navigate the most challenging cloud migration and operational challenges.
Cut latency, control spend, and harden resilience on Amazon RDS and Aurora.
RDS and Aurora remove a lot of toil, but they do not guarantee great performance or the right cost profile. Parameter groups drift. Storage and IOPS get out of sync with workload needs. Backups look fine until a real restore is needed. Our health check gives you a clear picture of engine settings, HA posture, and cost drivers across Aurora and RDS for Oracle, SQL Server, PostgreSQL, and MySQL.
Architecture and HA
Cluster layout, reader topology, failover behavior, Multi-AZ configuration, cross-Region strategy, maintenance windows.
Performance and capacity
Instance class selection, CPU and memory headroom, storage type and IOPS alignment, queue depth and latency, connection limits, plan cache and wait patterns.
Configuration hygiene
Parameter groups, option groups, engine features in use, extensions or plugins, encryption (KMS), networking and security groups.
Protection and recovery
Snapshot policies, PITR readiness, restore tests, backup retention, binlog or WAL configuration, replica lag and recovery timing.
Cost and rightsizing
Instance and storage choices, burst buckets and throttling, autoscaling settings, unused replicas, reserved or Savings Plans opportunities.
| Phase | Key Actions | Outcomes |
|---|---|---|
|
Discover |
Inventory clusters and instances. Pull metrics and logs. Map engine versions and parameter groups. | Complete estate view and data set. |
| Analyze | Identify bottlenecks, misconfigurations, and resiliency gaps. Model rightsize options. | Risk and optimization matrix. |
| Validate | Run targeted tests in non-prod. Verify restore timing and failover behavior. | Evidence to support changes. |
| Recommend | Prioritize fixes with effort and impact. Provide quick wins and strategic items. | Action plan and timeline. |
| Review | Walk through results with your team. Align owners and next steps. | Agreed roadmap and ticket list. |
Health check report with findings, severity, and business impact
Before and after KPI targets for latency, throughput, and failover time
Rightsizing and storage plan with projected monthly cost deltas
Backup and restore validation checklist with tested RTO and RPO
Parameter and option group recommendations with safe rollback steps
Aurora MySQL, Aurora PostgreSQL, and RDS for Oracle, SQL Server, PostgreSQL, and MySQL.
No. Data collection uses non-intrusive methods. Any change is proposed, tested in non-prod, and scheduled through your normal process.
Most environments complete in 1 to 3 weeks depending on number of clusters and the depth of restore testing.
Yes. We validate snapshot and PITR processes in a controlled environment and document measured restore timing.
Great. We incorporate those metrics, add configuration and recovery analysis, and translate everything into a prioritized plan.
After major workload changes or at least annually to confirm performance targets, cost profile, and recovery objectives still hold.
AWS RDS MySQL vs. Aurora MySQL: Performance, Pricing and Use Cases
Debunking the Top 5 Myths of Running Oracle Software in the Cloud
Ready to reduce latency and surprise bills while improving recoverability?
