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.
About CloudDBOptimize
CloudDBOptimize is a specialized cloud database and Data Operations consultancy focused on reducing database cost, improving reliability, and modernizing database infrastructure.
The practice is built on nearly 30 years of production database operations, engineering, architecture, and technical leadership experience across complex enterprise environments.
CloudDBOptimize combines deep database expertise with cloud infrastructure, Kubernetes, automation, observability, performance engineering, and Total Cost of Ownership analysis to help organizations make better database platform decisions.
Recommendations are vendor-neutral. Depending on the workload, the right answer may be to optimize an existing managed service, migrate database engines, modernize onto Kubernetes, consolidate infrastructure, or leave the architecture exactly as it is.
Experience Behind the Practice
Clients work directly with founder-led, principal-level technical depth backed by nearly three decades of stateful systems engineering:
- ✓ Nearly 30 years of production database operations and management experience
- ✓ Enterprise database architecture and engineering
- ✓ PostgreSQL, Microsoft SQL Server, Oracle, MySQL, Neo4j, and other relational and graph database platforms
- ✓ Amazon Web Services, Google Cloud Platform and Azure
- ✓ Kubernetes and infrastructure automation
- ✓ Database observability and performance management
- ✓ High availability, backup, disaster recovery, and capacity planning
- ✓ Cloud cost optimization and Total Cost of Ownership analysis
- ✓ Engineering and technical leadership
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 best-in-class, production-ready open-source Kubernetes operators 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.