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Oracle Cloud Licensing — CIO Playbook

CIO Playbook: Oracle Cloud@Customer Deployment Strategy

Oracle Cloud@Customer runs Oracle's cloud services inside your data centre — the same infrastructure and services as Oracle's public cloud (OCI) but behind your firewall as a fully managed service. This playbook provides CIOs with a structured approach to evaluating, negotiating, and governing a Cloud@Customer deployment to maximise value while mitigating risk.

📅 February 2026⏱ CIO Playbook✍️ Fredrik Filipsson

Oracle Cloud@Customer Overview

Oracle Cloud@Customer is designed for enterprises that need cloud benefits — scalability, automation, agile provisioning — without moving data to a public cloud. It delivers a full public cloud experience in customer data centres, allowing organisations to consolidate applications and databases on high-performance cloud infrastructure without migrating to the public cloud.

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Cloud On-Premises

Same OCI infrastructure and services running inside your data centre, managed by Oracle

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Pay-As-You-Go

Cloud economics with subscription pricing — OpEx model, no upfront hardware investment

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Data Sovereignty

All data stays behind your firewall — meets strict residency, security, and compliance requirements

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Future-Proof

Identical to public OCI — workloads can be moved to Oracle's cloud regions if desired later

In business terms, Oracle Cloud@Customer is a strategic hybrid cloud solution. All core OCI services (and even Oracle's SaaS applications) can run in your data centre under the same SLAs and APIs as Oracle's public cloud. For a CIO, this means achieving cloud agility and innovation on-premises, accelerating legacy application modernisation, and improving time-to-market without compromising control over data or compliance requirements.

Since the environments are essentially identical, workloads running on Cloud@Customer can be moved to Oracle's public OCI regions in the future if desired. By deploying Oracle Cloud@Customer, mid-size and large enterprises gain a path to cloud transformation that aligns with their regulatory, performance, and integration constraints.

Key Strategic Considerations for Deployment

When evaluating an Oracle Cloud@Customer deployment, CIOs should consider several key strategic factors: data residency compliance, latency requirements, on-premises integration, and operational implications. Each determines whether Cloud@Customer is the right fit and how to implement it for maximum benefit.

1

Data Residency and Regulatory Alignment

Data Sovereignty: Cloud@Customer keeps all data and cloud infrastructure on your premises, crucial for organisations under strict data sovereignty laws. Your data never leaves your data centre, helping meet regulations that require local data storage (e.g. GDPR, national data residency laws).
Regulatory Compliance: Tailored for highly regulated industries (finance, healthcare, government) where using the public cloud is limited by compliance rules. Enterprises can leverage cloud innovation while meeting regulatory and security requirements. Audits and compliance checks are easier when data remains under a defined jurisdiction.
Governance & Control: With the entire OCI control plane and hardware on-site, CIOs maintain tight governance over data location and handling. Oracle Cloud@Customer comes with the same security and industry certifications as Oracle's public cloud but applied in your data centre, simplifying alignment with internal governance policies.
Analysis: Data residency is often the primary driver for Oracle Cloud@Customer adoption. Banks or government agencies may be legally required to keep customer data within national borders or on dedicated infrastructure. Cloud@Customer directly addresses this by deploying Oracle's cloud services behind your firewall. Gartner analysts noted that Oracle's Dedicated Region Cloud@Customer was the first to deliver a full public cloud experience on-premises, unlike the limited solutions offered by other providers. A CIO can pursue cloud-first strategies for sensitive systems — ERP, customer databases, healthcare records — while asserting that all data stays on company-controlled hardware.
2

Latency-Sensitive Workloads

Low-Latency Performance: Network latency to a distant cloud can be unacceptable for real-time applications — high-frequency trading, industrial control systems, or interactive customer services. Cloud@Customer places compute and storage physically adjacent to your existing systems, enabling low-latency interaction with on-premises applications and databases.
Edge and Locality Needs: Enterprises with operations requiring data processing close to where data is generated — factories, IoT sensors, branch offices — benefit from cloud resources deployed near users and data sources, improving application performance and user experience.
Avoiding Network Dependency: Keeping critical workloads on-premises reduces dependence on wide-area network links. Even if your public internet connection is slow or unreliable, internal users and systems still get cloud-like performance from Oracle services hosted locally — crucial for continuity of mission-critical systems.
Analysis: Latency can be a make-or-break factor. If your enterprise applications integrate tightly with on-premises databases or data streams, running them in a remote cloud region could introduce significant latency that hurts throughput and user experience. Cloud@Customer essentially brings the cloud to your data centre, solving this problem. An analytics platform can query a local data warehouse with millisecond latency — something not possible if the service were 500 miles away. Localising cloud infrastructure also improves performance consistency — you're not subject to internet congestion or variable network hops.
3

Integration with On-Premises Systems

Seamless Hybrid Integration: Cloud@Customer enables a true hybrid cloud environment — the same Oracle cloud services run in your data centre as in Oracle's public cloud, allowing applications to be portable and integrated across both. Use the same OCI Console, APIs, and tools to manage Cloud@Customer and public OCI resources.
Proximity to Legacy Systems: Since the cloud hardware is on your network, it can directly connect to legacy databases, mainframes, and on-premises ERP. Batch jobs, ETL processes, and API calls between old and new systems run faster and more securely when executed locally rather than over external links.
Unified Operations: Enterprises can treat Cloud@Customer as an extension of their existing IT estate. Oracle allows the use of Universal Credits across public and on-premises cloud, meaning you can flexibly allocate cloud consumption between Oracle's public cloud and your Cloud@Customer as needs shift.
Analysis: Cloud@Customer's biggest advantage for integration is its consistency with the OCI public cloud. Applications can be developed once and deployed on public OCI or Cloud@Customer without refactoring — one set of cloud practices and skills across both environments. This makes it much easier to modernise or extend legacy applications: deploy new microservices or analytics in Oracle's cloud environment on-prem and integrate them directly via the local network to the legacy system's database, achieving new capabilities without a risky full migration. The "data gravity" challenge — where large datasets are difficult to move to the cloud — is mitigated because computing comes to the data. Cloud@Customer serves as a bridge between on-prem and cloud, providing a unified platform for integration and a path to gradually move workloads without the integration headaches typically associated with hybrid IT.
4

Operational and Staffing Impact

Managed Infrastructure: Oracle provides and maintains the hardware and base cloud software in your data centre, offloading significant infrastructure management from your IT team. Oracle handles routine tasks — hardware provisioning, patching, upgrades, and database tuning (if using Autonomous Database) — letting you focus staff on higher-level activities.
Staff Skill Shift: IT staff must work in a cloud operating model on-premises. Traditional system administrators may need training to become cloud administrators or DevOps practitioners. DBAs might spend less time on backups and patching (since those are automated) and more on data architecture and application-level performance tuning.
Operational Processes: Introducing Cloud@Customer means introducing Oracle as a partner in operations. IT operations processes — incident management, change management — should be updated to include Oracle's support. Capacity planning becomes a joint exercise. The financial model also shifts from CapEx to OpEx (service subscription).
Analysis: The impact on IT operations is significant but largely positive if managed well. Oracle handles the "undifferentiated heavy lifting" of infrastructure. CIOs should interpret this as an opportunity to reallocate technical talent: those who managed hardware can now focus on cloud architecture, automation, and service delivery. Over time, you may need fewer people for hardware support but more for governance and cloud FinOps. It's important to plan for a cultural and process shift — your staff will be working in a model where Oracle is effectively an extension of the IT department. Investing in training and change management is wise. When accompanied by proactive planning, Cloud@Customer can elevate the IT operating model, making it more cloud-like and efficient.

Contract Negotiation Strategies

Oracle is actively pushing Cloud@Customer adoption, which means you have leverage to negotiate favourable terms. Do not accept the boilerplate contract — everything is negotiable.

1 Leverage Oracle's Eagerness

Use Oracle's desire to close the deal to negotiate better pricing, custom terms, and inclusion of features. Oracle wants Cloud@Customer wins — use this to your advantage in securing favourable commercial terms.

2 Understand Commitments & Terms

Be clear on commitment length and hardware refresh cycles. Oracle typically offers multi-year (often 4-year) subscriptions. Negotiate terms that align with your strategy — discuss options for extended use or smooth transitions at contract end. Ensure you have exit options or renewal protections to avoid steep price increases.

3 Right-Size Your Commitment

Conduct an independent analysis of how much capacity and cloud credits you actually need. Start with a conservative commitment in Year 1 with the ability to expand later, as migration/adoption may be gradual. Overcommitting resources upfront leads to paying for unused capacity.

4 Negotiate Universal Credits & Pricing

Focus on optimal UCC pricing and flexibility. Negotiate volume discounts for higher annual spending but weigh against the risk of unused credits. Ensure unused credits can roll over or that you can adjust commitments periodically — Oracle's standard is that unused credits expire annually.

5 Clarify Roles, SLAs & Responsibilities

Ensure the contract delineates service level agreements and responsibilities. What uptime is guaranteed? How quickly will Oracle respond to hardware issues? Who handles security patches? Include data ownership and privacy clauses — your company retains full ownership; Oracle has access only as needed.

6 Plan for Renewal or Exit

Plan for end-of-term well in advance. Cloud@Customer is not a simple "plug out" — data and workloads must be migrated. Negotiate provisions for transition support at contract end, or at least the option to renew at predictable rates. Customers can feel "burned at the end of these contracts" if they haven't planned — include clauses addressing upgrades, additional capacity, and end-of-term options.

7 Beware of Bundled Deals

Oracle may bundle Cloud@Customer with licence renewals or ULAs for a discount. Carefully evaluate combined deals — bundling can obscure the true cost of each component. Ensure the Cloud@Customer portion is fairly priced and the bundle doesn't include software you don't need. Keep negotiations somewhat separate for clarity.

8 Use Expert Help If Needed

If your team lacks experience negotiating complex cloud contracts, consider third-party advisors. Firms familiar with Oracle contracts can identify pain points and help secure concessions. Oracle's contracts are dense — expert support ensures you've covered data deletion, liability, and other legal fine print.

Approach Oracle Cloud@Customer contracts with the same rigour as any major outsourcing or managed services agreement. Do your homework on requirements, be clear about non-negotiables, and use your leverage at the outset to secure a fair and future-proof deal. Addressing the end-of-term scenario in the contract prevents Oracle from having all the leverage when it's time to renew.

Business Case Evaluation Framework

A rigorous business case ensures that choosing Oracle Cloud@Customer is based on business value, not just technical allure. CIOs should demonstrate due diligence to avoid unpleasant surprises and set proper expectations with their board or executive committee.

1 Total Cost of Ownership (TCO) Analysis

Create a comprehensive TCO model comparing Cloud@Customer to alternatives — status quo (on-premises), Oracle public cloud, and other hybrid solutions. Include all direct costs (subscription fees, Oracle support, networking/facility upgrades) and indirect costs (labour changes, automation savings, compliance costs). Cloud@Customer is powerful but "not cheap" — quantify the premium it carries over traditional solutions.

2 Benefits and Value Assessment

Identify business benefits and assign a value where possible. If data residency compliance is mandatory, the value may lie in avoiding regulatory fines or enabling a project that otherwise couldn't proceed. If latency improvements increase revenue or offloading operations reduces outage risk, include those benefits. Categorise: compliance/risk reduction, performance gains, agility/innovation, operational efficiency.

3 Scenario and Sensitivity Analysis

Create Base Case (moderate growth, expected usage), Best Case (optimistic adoption, higher growth from new capabilities), and Worst Case (lower uptake, unforeseen costs) scenarios. Perform sensitivity analysis on key variables: usage volume, Oracle's future pricing, internal cost of capital. Compare in financial terms like NPV of cash flows vs capital purchase.

4 CFO-Friendly Frameworks

Use ROI, NPV, or payback period to articulate the case. Calculate incremental revenue or cost savings vs incremental cost. If Cloud@Customer enables data centre consolidation or licence elimination, those savings bolster the case. If it introduces a premium, identify ROI justification: "We pay 20% more over 3 years but gain agility to launch digital services worth $X in revenue."

5 Risk Assessment

Document risks — vendor lock-in, potential cost escalations after term, dependency on Oracle's support quality — and mitigation strategies (strong contract terms, exit strategy, retained in-house skills). Also document the risk of not acting: if staying on legacy carries non-compliance risk or inability to compete, that may dwarf the risks of Cloud@Customer.

6 Benchmark vs OCI Public Cloud

Your business case should compare Cloud@Customer to Oracle's public cloud to justify the on-prem model. Clearly articulate unique value — data control, on-premises latency. Acknowledge if public OCI is cheaper; perhaps Cloud@Customer is used only for workloads that truly need it while less sensitive workloads remain in OCI. This "right workload on the right platform" approach often yields the best financial outcome.

Treat the business case as a living document. As you negotiate with Oracle and your internal understanding grows, update financials and assumptions. Oracle might improve its offer during negotiations — a higher discount or additional cloud credits — which changes your cost calculations. Be ready to iterate quickly and present updated analysis to executive stakeholders.

Governance and IT Operations Planning

Solid governance and operations planning ensures that Cloud@Customer yields its intended benefits — compliance, performance, agility — without creating new chaos or risk. Front-loading the planning avoids scenarios where misunderstandings of responsibilities lead to security incidents.

Cloud Governance Policies

Apply strong governance from day one. Define policies for resource provisioning, tagging, and cost management. Set up governance guardrails: who can create instances, what approval is needed for large allocations. Use Oracle's tools — budgets, compartments, IAM policies — to enforce controls and prevent uncontrolled usage or shadow IT within this on-premises cloud.

Roles and Responsibilities (RACI)

Delineate what Oracle manages vs what your internal IT manages. Create a RACI matrix: Oracle is Responsible for hardware replacement, consulted for patch scheduling; Internal IT is Accountable for application performance. Assign an owner — typically a cloud platform manager — as primary liaison with Oracle. Ensure network and facilities teams have procedures for working with Oracle field engineers.

Integration into ITSM Processes

Update IT Service Management processes. Define how Cloud@Customer incidents are logged, tracked, and resolved — and when to escalate to Oracle for infrastructure issues. Coordinate Oracle's changes (patches, firmware updates) through your change advisory board. Verify whether changes are within your domain or Oracle's — avoid gaps where each assumes the other is handling something.

Security and Compliance Oversight

Extend security monitoring (SIEM) to Cloud@Customer. Ensure logs are sent to centralised log management. Conduct regular access reviews of who has access (internal and Oracle). Require Oracle to commit to specific security practices through the contract (background checks, MFA-protected remote access). Include Cloud@Customer in compliance audits — treat it as in-scope for PCI, HIPAA, etc.

Operational Runbooks and Training

Develop runbooks for common procedures — scaling up resources, recovering from failures, engaging Oracle support. Train operations staff on Cloud@Customer interfaces. Run drills or simulations of major incidents (e.g. loss of a node) to test joint handling with Oracle's team. Include Cloud@Customer modules in internal cloud training programmes.

Continuous Optimisation

Institute quarterly governance board meetings to assess cost/usage reports, performance, and SLA compliance. Review whether Oracle is meeting service levels. Plan for scaling needs — if expanding, start discussions with Oracle early for additional capacity. Ensure the environment delivers on its promises through ongoing governance.

Hybrid Cloud Strategy Alignment

Govern Cloud@Customer within the broader context of your cloud strategy. Ensure policy consistency across environments — if you prohibit certain data in any cloud, that includes Cloud@Customer. Plan how workloads might move: maintain portable configurations (Terraform/IaC) as governed by your cloud architecture team. Include exit strategies not just for contract end but for shifting workloads to OCI public or other clouds.

With the right governance in place, Cloud@Customer can run as seamlessly as any public cloud environment, giving you the added confidence that it's all under your control. Good governance bridges the gap between Oracle's infrastructure management and your management of everything above.

How Redress Compliance Helps with Oracle Cloud@Customer

🤝 Oracle Contract Negotiation 📋 Oracle Licence Management 🛡️ Oracle Audit Defence 📊 Oracle ULA Optimisation

Planning an Oracle Cloud@Customer Deployment?

Oracle Cloud@Customer contracts are among the most complex and consequential deals an enterprise negotiates — multi-year commitments worth millions, with long-term implications for operational flexibility and vendor lock-in. Our Oracle licensing and contract negotiation specialists help CIOs right-size commitments, negotiate favourable terms and exit protections, model TCO scenarios with actual pricing, and ensure licensing compliance across hybrid deployments. With 20+ years of Oracle insider expertise, we bring the analysis and negotiation leverage that ensures you don't overspend or get locked in on unfavourable terms.

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Fredrik Filipsson

Co-Founder, Redress Compliance

Fredrik Filipsson brings over 20 years of experience in enterprise software licensing, including senior roles at IBM, SAP, and Oracle. For the past 11 years, he has advised Fortune 500 companies and large enterprises on complex licensing challenges, contract negotiations, and vendor management — consistently delivering outcomes that save clients millions across Oracle, Microsoft, SAP, IBM, Salesforce, and Broadcom engagements.

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