OracleDatabase@Azure by Cintra

Workload & Licensing Discovery

• Agentless inventory of Oracle databases and configurations.

• Workload profiling to understand CPU, memory, and I/O demands.

• Current Oracle licensing and support footprint analysis. 

Right-Sizing & Target Design

• Recommended OD@Azure / Exadata@Azure shapes based on real workload data.

• Optimization scenarios to reduce capacity, power, and CPU consumption.

• Alignment to Azure integration patterns and Microsoft Fabric requirements. 

Commercial & Business Case Modeling

• TCO comparison of “as is” versus optimized OD@Azure.

• Licensing and support cost reduction opportunities.

• Phased roadmap to migrate, optimize, and manage Oracle on Azure. 

Faster insights

• Our rapid discovery tool delivers assessments 80% faster than traditional methods.

Zero disruption to your business

• The assessment uses agentless discovery, ensuring no changes are made to your internal systems during scanning.

Enhanced savings

• Businesses typically experience 20-30% more savings on average following an OLA with Cintra.

• Clear, fact-based OracleDatabase@Azure business case.

Plan with confidence

• Find the optimal cloud platform for your organization and move straight to planning and execution.

• Defined technical and commercial roadmap for migration and optimization.

• Reduced risk through a data-driven view of workloads and licensing.

Best-Practice OD@Azure Architecture

• Reference architectures for Exadata@Azure and OracleDatabase@Azure.

• High-availability, backup, and DR patterns tuned for mission-critical workloads.

• Integrated monitoring and observability framework. 

Migration Factory & Runbooks for Mission-Critical Workloads

• Repeatable runbooks for dry runs and production migrations.

• Test, validation, and rollback procedures for critical systems.

• Orchestrated cutovers to minimize downtime and business impact. 

Security, Compliance & Governance

• Security controls aligned to Azure and Oracle best practices.

• Audit-ready processes to support compliance requirements.

• Documentation of architecture, roles, and operational procedures.

Risk-free migrations

• Faster time-to-value with accelerated OD@Azure implementation and migrations. 

• Referring to comprehensive migration readiness assessment for a smooth, successful migration. 

• A scalable, compliant OD@Azure foundation for data, analytics, and AI.

Zero downtime

• Ensuring your mission-critical systems continue to perform optimally during migration.

• Transitioning seamlessly to the cloud ensuring continuous availability and data integrity.

Cost-effective

• Based on a fixed-cost model, ensuring predictable, manageable costs.

• Reduced costs by consolidating multiple Oracle databases into a single optimized Microsoft Azure cloud environment.

Real-Time CPU Optimization with AutoScale[IQ]

• AutoScale[IQ] used to deliver cost-efficient cloud optimization.

• Automatically scales CPU up when workloads need it.

• Scales down during off-peak periods, only paying for what you use.

• Optimize your OracleDatabase@Azure for average workload rather than peak.

Cost-Efficient Cloud Licensing

• Aligns Oracle licensing consumption with actual utilization.

• Helps break free from legacy, fixed-capacity licensing models.

Reporting & Forecasting

• Detailed scaling event history and consumption reports.

• Forecasting to support budgeting and capacity planning. 

Continuous Value

• Up to 60% savings in Oracle OCI cloud costs, lowering costs without manual intervention or disruption.

• Dynamic scaling adjusts CPU based on demand, for greater cost control.

• Transparent insight into how Oracle resources are used over time.

Enhanced performance

• Automated scaling helps ensure mission-critical systems adapt seamlessly to demand peaks, delivering a smooth user experience.

Reduced risk

• AutoScale[IQ] subscription-based pricing can be cancelled at any time allowing you to avoid lock-in.

24x7 Monitoring & Support

• Real-time monitoring across database, Exadata, and Azure layers.

• Fast response to incidents, alerts, and performance deviations. 

Patch Maintenance & Lifecycle Management

• Coordination and management of Exadata patching.

• Controlled rollout of updates and changes to minimize risk. 

• Regular review of performance, capacity, and risk.

• Recommendations and changes to maintain optimal service levels.

Continuous Value

• Higher availability and resilience for mission-critical Oracle workloads.

• Reduced operational burden on internal teams.

• Confidence that OracleDatabase@Azure remains aligned to best practices.

• Eliminating post-migration concerns with Cintra’s continued specialist support and fast response.

OracleDatabase@Azure Business Case & Readiness Assessment

A fixed-scope engagement focused on discovery, optimization modeling, and roadmap definition. Ideal for organizations evaluating OD@Azure and needing a funded assessment and compelling business case. 

Migration & Optimization Project

An outcome-focused project that delivers your best-practice OD@Azure / Exadata@Azure platform, executes migrations, and implements AutoScale.IQ optimization to reduce costs and improve performance. 

Managed OracleDatabase@Azure Operations & Optimization

An ongoing managed service combining 24x7 monitoring, Exadata-specialized support, patch coordination, and continuous optimization to keep OracleDatabase@Azure aligned to business SLAs and cost targets. 

• Customers running mission-critical Oracle or Exadata workloads who need cloud-grade resilience and performance.

• Businesses looking for simplified cloud migration, with an accelerated, direct path to move complex, on-premises workloads.

• Teams wanting to break free from legacy Oracle licensing through optimized cloud licensing and autoscaling.

• CIOs and architects who need a trusted Oracle and Azure specialist to de-risk migration and ongoing operations.

• Companies already operating systems within the Microsoft ecosystem, who wish to integrate Oracle databases within their existing set-up.

• Organizations seeking to integrate Oracle data with Microsoft Fabric and Azure GenAI workloads.