Multi-Engine Cloud Database Cost Assessment
A deep-dive technical and economic evaluation of your database estate across Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure to identify quantifiable savings, architectural risks, and long-term optimization paths across PostgreSQL, MySQL, Oracle, Microsoft SQL Server, and Neo4j.
Surveying 753 cloud decision-makers, Flexera found cloud waste rose for the first time in five years, driven by AI volatility and complexity. While automated FinOps tools ignore stateful databases due to data-loss fears, that is where the unaddressed 29% hides. Read our full analysis →
What We Analyze in Your Estate
We don't just look at aggregate monthly cloud invoices. We evaluate granular database telemetry, query workloads, licensing structures, and underlying infrastructure configurations.
Compute & Core Utilization
We profile CPU peaks, sustained baseline utilization, and RAM caching efficiency across primary, standby, and replica nodes to eliminate idle core provisioning and unnecessary tier markups.
Storage & Non-Production Branching
We audit allocated vs actual disk consumption, provisioned IOPS throughput, and evaluate whether architectures supporting Copy-on-Write cloning can reduce storage duplication and provisioning time across lower environments.
Replica Topology & Sizing
We evaluate whether read replicas and multi-Availability Zone standby instances are right-sized for actual read traffic or wasting budget mirroring idle primaries.
Backup & Snapshot Retention
We inspect automated snapshot policies, Write-Ahead Log (WAL) archive accumulation, Point-in-Time Recovery (PITR) storage, and secondary region duplication costs.
Discounts & Core Licensing
We evaluate reserved capacity, committed-use discounts, and Oracle / SQL Server core software licensing multipliers to eliminate unnecessary enterprise fee markups.
Network Egress & Data Transfer
We identify billable cross-zone, cross-region, and client data transfer where applicable, alongside public IP data egress costs that silently inflate monthly invoices.
What You Receive: Assessment Deliverables
You receive clear, executive-ready documentation and concrete engineering runbooks, not high-level generic advice.
Current-State Total Cost of Ownership (TCO) Model
A transparent financial breakdown mapping your current spend by engine, compute tier, storage volume, IOPS, replica, and network egress.
Immediate In-Place Optimization Opportunities
Concrete rightsizing, storage tuning, and commitment actions that reduce your cloud bill without migrating databases.
Architecture & Modernization Alternatives
Detailed technical evaluation comparing managed cloud services, hybrid models, and best-in-class open-source Kubernetes operator deployments.
Risk Considerations & Migration Safeguards
Thorough evaluation of operational risks, team skillset requirements, Recovery Point Objective (RPO) and Recovery Time Objective (RTO) impacts, and rollback procedures.
Step-by-Step Implementation Roadmap
A prioritized execution plan designed for your platform engineering team, complete with estimated engineering effort and payback timelines.
Executive Briefing & Presentation
A dedicated 60-minute findings presentation with Chief Technology Officers (CTOs), Vice Presidents of Engineering, and technical leaders.
Frequently Asked Questions About the Assessment
How long does the assessment take?
Most assessments are designed to complete within approximately two weeks once required telemetry and billing information are available, requiring minimal engineering time from your internal team (typically 2-4 hours for discovery alignment and read-only access setup).
Does CloudDBOptimize require access to our sensitive customer data?
No. We do not require access to your database records or sensitive customer data. We only require read-only access to infrastructure metadata, cloud billing line items, performance telemetry (CloudWatch, Cloud Monitoring, Azure Monitor), and database engine configuration parameters.
Will this disrupt our production environments?
No. Assessment discovery is designed to be read-only and non-disruptive. We do not run intrusive performance benchmarks or modify any running database infrastructure.
What if our team doesn't have Kubernetes expertise?
That is completely fine. We never push a one-size-fits-all architecture. If your team doesn't use Kubernetes or prefers to avoid it, we focus entirely on in-place optimization of your existing Google Cloud SQL, Amazon RDS, Aurora, or Azure database instances to maximize efficiency without changing your hosting model.