Cloud modernization strategy

Oracle on Google Cloud Compute is Google’s path for enterprises that want to run Oracle workloads on Google Cloud’s own infrastructure — Compute Engine, Google Kubernetes Engine (GKE), and Google Cloud VMware Engine — under a Bring Your Own License (BYOL) model. It’s the lift-and-shift option for teams that want to keep their Oracle licenses, keep their DBAs, and keep their tooling (GoldenGate, Data Guard, RMAN, Oracle Linux) while gaining the scale, automation, and AI ecosystem of Google Cloud. For CIOs, CTOs, IT Directors, and DBA Managers, it’s the lowest-risk cloud modernization path that doesn’t throw away what you already own. The story: Two Different “Oracle on Google Cloud” Conversations Before we go further, let me clear up the confusion I hear every week. There are two distinct Oracle + Google Cloud offerings, and they’re often conflated: Oracle Database@Google Cloud — Oracle-operated managed database services (Exadata, Autonomous Database, Base Database Service) running inside Google Cloud regions. Oracle owns the hardware and operations. Oracle on Google Cloud Compute — You run Oracle yourself on Google’s own infrastructure (Compute Engine, GKE, VMware Engine) under BYOL. You own the stack; Google provides the platform. What is Oracle on Google Cloud Compute? Oracle on Google Cloud Compute is a deployment model that lets enterprises migrate and run Oracle databases and applications on Google Cloud infrastructure using a rehost (lift-and-shift) migration pattern. It supports three deployment targets: Compute Engine (GCE) — Oracle databases directly on Google Cloud virtual machines Google Kubernetes Engine (GKE) — Oracle as a containerized, stateful workload, managed by the open-source El Carro operator Google Cloud VMware Engine — Oracle workloads on a VMware-based environment inside Google Cloud All three run under BYOL. You bring your Oracle licenses, your supported Linux OS (Oracle Linux included), and your operating model. Who and Why should care If you’re a CIO or CTO You’re evaluating cloud strategy against board-level outcomes: cost discipline, AI readiness, risk reduction, and speed to value. Oracle on Google Cloud Compute gives you a low-risk, low-disruption modernization path that: Protects your existing Oracle license investment (BYOL) Avoids the multi-year rebuild cycle a full re-platform would require Opens a direct door to Google’s AI and analytics ecosystem (BigQuery, Vertex AI, Gemini) for the data that actually runs the business Consolidates cloud spend into one relationship you already have or are growing Modernize without a full retraining program for your DBAs Keep proven operational patterns — Data Guard for HA/DR, RMAN for backup, GoldenGate for replication Get unified identity and access controls through Google Cloud IAM and VPC Service Controls Reduce the number of physical and virtual environments your team is babysitting Use the tools they already know (SQL*Plus, OEM, GoldenGate, Data Guard, RMAN) Run any Oracle-supported Linux, including Oracle Linux Keep legacy versions in production — even Oracle 11g can run on Google’s newest hardware generations Gain cloud-native features like live migration (no planned maintenance downtime) and regional storage for disaster recovery without adding licenses If you’re a Director of IT You’re responsible for the operational reality: uptime, change control, vendor management, and a team that’s stretched thin. This path lets you: If you’re a DBA Manager This is where most of the resistance — fair resistance — to cloud modernization comes from. Your team built the expertise. Your team owns the runbooks. Your team wears the pager. A rehost to Google Cloud Compute lets your DBAs: The seven advantages Google calls out Here’s what the Google Cloud documentation highlights as the advantages of running Oracle on Google Cloud Compute. I’ve translated each one into what it actually means for your operation: Advantage What It Means for Your Team Quick setup Provision a Google Cloud VM running Oracle Linux in any region, today. No procurement cycle, no rack-and-stack. Direct deployment The Oracle Toolkit for Google Cloud deploys and manages Oracle databases on VMs — open-source, Google-published, and aligned with their reference architectures. Broad OS support All Linux operating systems supported by Oracle, including Oracle Linux. Run what you run today. Familiar technology GoldenGate, Data Guard, RMAN — all supported. You can also use Google Cloud’s regional storage and managed instance groups for cloud-native DR patterns without additional Oracle licensing. Cloud-native features Live migration for zero-downtime maintenance, regional storage, managed instance groups — things that don’t exist in your data center. Flexible infrastructure Extensive machine family options and scalable block storage. Right-size for each workload. You own your software BYOL. Run the exact Oracle version you need — including Oracle 11g — on modern Google Cloud hardware. The three deployment targets, compared Which deployment model is right depends on your operating model, not your Oracle version. Here’s how they break down: Compute Engine — The Workhorse Path Best for: Teams that want Oracle on a VM, operated the way they’ve always operated it. Customizable infrastructure: pick vCPU, RAM, and persistent-disk tiers per workload Local SSDs for high-IOPS transaction workloads Oracle Data Guard for failover; RMAN + Cloud Storage for backup IAM, VPC Service Controls, and Oracle TDE for security BYOL with preemptible instances and committed-use discounts for cost control Containerize Oracle as a stateful application El Carro — the open-source Kubernetes operator — automates provisioning, patching, HA, and backup/recovery through standard Kubernetes APIs StatefulSets manage Oracle pods; Persistent Disks provide durability Proven in production: Regnology reduced resource requirements by approximately 40% after adopting El Carro for their business-critical Oracle workloads Oracle workloads on a VMware environment inside Google Cloud Minimal change to your existing VMware operating model Right choice when the VMware stack — not Oracle itself — is the anchor This is the path most enterprise Oracle migrations take. Google Kubernetes Engine (GKE) + El Carro — The Container Path Best for: Teams that want to modernize the operating model while keeping Oracle. This path is gaining ground with teams that already run Kubernetes for their applications and want Oracle operating under the same model. Google Cloud VMware Engine — The VMware Continuity Path Best for: Organizations with deep VMware investments and operating discipline they want to preserve. Frequently asked questions Is Oracle on Google Cloud Compute the same as Oracle Database@Google Cloud? No. They’re two different offerings. Oracle Database@Google Cloud is a managed service where Oracle operates Exadata, Autonomous Database, and Base Database Service inside Google Cloud regions. Oracle on Google Cloud Compute is BYOL — you run Oracle yourself on Google Cloud VMs, containers, or VMware. Pick based on whether you want Oracle or Google to operate the database. Do I need new Oracle licenses to run on Google Cloud Compute? No. It’s a Bring Your Own License (BYOL) model. You bring your existing Oracle licenses. You remain responsible for license compliance. Cloud Customer Care can help with the details. Can I run Oracle RAC on Google Cloud Compute? Yes, Oracle technologies you know — including RAC, Data Guard, and GoldenGate — are supported. For the highest-performance patterns, Google also publishes reference architectures for Oracle Exadata in Google Cloud that can complement a Compute Engine deployment. What about Oracle E-Business Suite and PeopleSoft? Google publishes reference architectures specifically for: Enterprise applications with Oracle Database on Compute Engine Enterprise applications on GCE with Oracle Exadata in Google Cloud Oracle E-Business Suite with Oracle Database on GCE VMs Oracle E-Business Suite with Oracle Exadata in Google Cloud Oracle PeopleSoft on Compute Engine with Oracle Exadata If you’re running any of those, a blueprint already exists. How do I handle HA and DR? You have options: Oracle Data Guard for traditional failover, or Google Cloud’s regional storage and managed instance groups for a cloud-native DR pattern that doesn’t consume additional Oracle licenses. Most teams use a combination depending on the workload’s RPO and RTO targets. What tools does Google provide to make this faster? The Oracle Toolkit for Google Cloud — an open-source toolkit published by Google — automates deployment and ongoing management of Oracle databases on Compute Engine. For containerized deployments on GKE, the El Carro operator handles the full lifecycle: provisioning, patching, HA, and backup. The bottom line Every company invests millions in Oracle. Every company builds a team of deeply skilled DBAs and IT professionals. Modernization should not mean walking away from either. Oracle on Google Cloud Compute is the path for leaders who want the benefits of cloud — scale, automation, AI — without throwing away the investment they’ve already made. It respects your licenses, your expertise, and your operating discipline. It opens a runway to Google’s AI ecosystem for the data that actually runs your business. If you’re a CIO, CTO, IT Director, or DBA Manager staring down a modernization decision, this is the option most likely to let your team succeed — and sleep at night while it ships. Ready to talk through your Oracle estate? RheoData Experts have spent decades executing complex Oracle programs — from Exadata to OCI to Google Cloud. We can help you: Assess your current estate and license position Design the right landing zone and target architecture Execute the pilot and production rollout with your team, not around them Our RedCore and RedGuard accelerators are purpose-built for Oracle modernization programs. Our BlueCore accelerator bridges Oracle data to BigQuery when you’re ready to light up analytics and AI. Let’s coordinate. Drop us a line at info@rheodata.com.

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