Specialized Cloud Database & Data Operations Advisory
CloudDBOptimize was founded to solve a distinct problem: helping technology companies eliminate compounding cloud database costs and operational complexity through sound architecture, platform automation, and vendor-neutral analysis across PostgreSQL, MySQL, Oracle, Microsoft SQL Server, and Neo4j.
Why We Exist
Managed cloud databases (such as Google Cloud SQL, Amazon Relational Database Service, Amazon Aurora, and Microsoft Azure Database) provide incredible initial convenience. However, as database estates scale into dozens of instances, multi-terabyte datasets, and multiple environments, that convenience often turns into significant financial overhead.
Most organizations find themselves trapped between two undesirable extremes: paying steep markups on overprovisioned cloud managed services, or taking on the heavy burden of unmanaged manual database administration.
CloudDBOptimize provides the third path: objective, vendor-neutral engineering advisory. We analyze your actual workload telemetry to determine whether in-place managed service optimization, engine migration, or platform modernization to Kubernetes operators delivers the highest return on investment.
Founder & Principal Consultant
Eddie Brodie
Eddie Brodie is an experienced cloud and database engineering leader with a career focused on architecting, scaling, and optimizing mission-critical data platforms. With hands-on technical depth spanning both Google Cloud Platform (GCP) and Amazon Web Services (AWS), Eddie specializes in translating complex database telemetry into concrete architectural and financial outcomes.
His background spans large-scale production PostgreSQL management, stateful Kubernetes deployments, declarative infrastructure automation using Terraform, and enterprise cloud cost optimization. Having led engineering teams through high-throughput database operations, major version upgrades, and disaster recovery drills, Eddie founded CloudDBOptimize to provide organizations with transparent, vendor-neutral technical guidance free from vendor sales incentives.
Core Practice Areas
When engaging CloudDBOptimize, clients work directly with senior engineering leadership across several specialized domains:
Cloud Infrastructure & FinOps
Architecting resilient database platforms on Google Cloud, AWS, and Azure with rigorous cost governance.
Multi-Engine Database Depth
Tuning throughput, IOPS, and memory allocations across PostgreSQL, MySQL, Oracle, SQL Server, and Neo4j.
Kubernetes Database Platforms
Deploying production-proven stateful operators (CloudNativePG, StackGres) with automated failover and self-healing.
Infrastructure-as-Code (IaC)
Standardizing repeatable database provisioning, IAM, and network topology with declarative Terraform.
Reliability & Disaster Recovery
Verifying Recovery Point Objective (RPO) and Recovery Time Objective (RTO) continuity under real-world conditions.
Engine Migration Engineering
Executing phased cutover plans from expensive commercial databases (Oracle, SQL Server) to modern PostgreSQL.
Our Core Operating Principles
1. Independence Creates Trust
We do not take referral fees from cloud providers or database vendors. We have no commercial incentive to recommend costly migrations when rightsizing your existing setup is the smarter choice.
2. Reliability Precedes Cost Reduction
Cutting cloud infrastructure spend is counterproductive if it compromises data integrity, failover time, or recovery guarantees. We treat backup verification and high availability as non-negotiable baselines.
3. Evidence Over Assumptions
Every recommendation we provide is backed by empirical metrics: CPU/RAM percentiles, IOPS consumption logs, query execution profiles, and verified pricing tables.