The migration excellence has been achieved over the years by INFOLOB as a reliable and proud partner of Oracle and Google. Our global delivery models and watertight implementations have led to driving multicloud approaches and scalable transformations. Let’s explore the profound insights of Oracle Database@Google Cloud in our second part of uncovering multicloud verse.
- INFOLOB’s migration approach to running and migrating Oracle workloads on Google
- On-prem exit strategy
- Our framework for Oracle Database@Google Cloud
With Oracle Autonomous Database, Exadata infrastructure, and Oracle Database 23ai now available within Google Cloud data centers, organizations can architect a fully cloud-native ecosystem, combining the strengths of both Oracle and Google Cloud.
Organizations can procure and access Exadata Database Service and Autonomous Database directly through the Google Cloud Marketplace using a range of private offers and pay-as-you-go public offers. Customers can also utilize their existing Google Cloud commitments to help procure these combined services. Oracle Database@Google Cloud also offers users the choice of selecting a License-Included model or using existing Oracle Database licenses with the flexibility of a Bring Your Own License (BYOL) model.
Key Capabilities:
- Google Kubernetes Engine (GKE) integration for container-native development and deployment.
- Google Vertex AI and Gemini foundation models support for building AI-enabled applications powered by Oracle Database 23ai’s AI Vector Search.
- Access to Google Cloud analytics tools like BigQuery and Looker, enabling enterprises to gain insights by fusing transactional data with predictive intelligence.
However, Database migration involves following challenges:
- Proprietary technology and functionality on legacy database technologies and functionalities such as stored procedure, Oracle RAC, custom functions, etc.
- Monolithic and humongous servers that depend on on-prem databases
- Incompatibility issues
Ways to Run Oracle Workloads on Google Cloud
- Bare metal instances within region extensions
- Oracle-certified compute and storage deployed directly within region extensions, ensuring compliance and high performance.
- Ultra-low latency (<1ms) connectivity to Google Cloud Platform, ideal for real-time applications and hybrid architectures.
- No cloud penalty where maintaining the same license costs as on-premises.
- BYOL model with sole-tenant bare metal servers, allowing seamless transition from on-prem with existing scripts and processes.
- Flexibility to self-manage Oracle databases or engage a trusted partner, while Google manages the infrastructure with a 99.9% SLA.
- Google Cloud VMWare Engine
- Fully managed VMware stack delivered by Google Cloud for Oracle workloads needing legacy compatibility.
- Google handles networking, infrastructure operations, and platform management at cloud scale.
- Rapid provisioning of VMware Software-Defined Data Centers (SDDC) in minutes.
- API-driven control of the environment enables infrastructure-as-code and DevOps integration.
- Automated failure remediation reduces operational overhead and downtime risks.
- Eliminate infrastructure toil, freeing IT teams to focus on innovation and optimization.
- Container-Native Deployment Options
- Run containerized Oracle databases with the bare-metal performance of Anthos.
- Embrace DevOps and cloud-native automation in Oracle environments without replatforming.
- Containers deliver ~2x core density over VMs, optimizing license efficiency and cost.
- Kubernetes Operator automates lifecycle tasks: provisioning, scaling, backups, and restore.
- Full administrative access with modern CI/CD integration and observability.
- Database with High Availability
- Run Oracle databases on-premises, in partner co-locations, or hybrid that connects directly to Google Cloud.
- Leverage high-speed interconnects (e.g., via Equinix) for low-latency and secure access to GCP.
- Maintain latency-sensitive applications while tapping into Google Cloud services such as BigQuery, Vertex AI, and Looker.
- Stream data in real-time to GCP and apply predictive analytics with built-in ML capabilities.
- Ideal for SaaS providers archiving Oracle databases securely on Google Cloud through private interconnect.
Migrating Oracle Workloads to Google Cloud
The promise of multi-cloud agility often breaks down at the complexity of migrating mission-critical Oracle workloads. Oracle Database@Google Cloud is purpose-built to simplify this transition, preserving existing investments while accelerating transformation.
- Assessment and Compatibility Analysis:
- Use of free Oracle planning tools to assess database readiness.
- Detailed compatibility checks and issue prioritization using INFOLOB’s in-house Oracle advisors.
- Oracle Zero Downtime Migration (ZDM):
- Automated, scripted migrations with minimal or zero cutover downtime.
- Avoiding re-platforming risk with binary compatibility between on-prem Oracle Database and Oracle Database@Google Cloud.
- Post-Migration Validation:
- Use of Oracle Data Validation Tools to ensure structural and data integrity.
- Synchronization checks and operational readiness proof
Modernization Blueprint for On-Prem Exit Strategy
Many organizations face a pressing infrastructure challenge: their on-prem Oracle environments are expensive to maintain, approaching end-of-life (EOL), and holding back digital transformation. Oracle Database@Google Cloud offers a seamless, non-disruptive path forward.
- No Re-platforming Required: Maintain application logic and database configurations with Exadata-level compatibility.
- Cloud-Native DevOps: Integrate Oracle with CI/CD, Terraform, Kubernetes, and Infrastructure-as-Code (IaC) tools on Google Cloud.
- Built-in Fault Tolerance: Enterprise-grade availability with built-in hardware and software redundancy.
INFOLOB’s Oracle Database@Google Cloud Framework
INFOLOB delivers comprehensive Oracle-to-Google Cloud transformations by blending deep Oracle expertise, multi-cloud experience, and custom accelerators. Here’s how we implement:
- Discovery & Planning
- Cloud strategy workshops.
- Compatibility and performance benchmarking.
- Design & Architecture
- Joint Oracle-Google reference architecture tailored to client workloads.
- Interconnect configuration and dataflow design.
- Migration & Validation
- Oracle ZDM-led data transfer.
- Validation through custom scripts and Oracle tools.
- Optimization & Innovation
- Integration with AI/ML services.
- Performance tuning and governance setup.
- Ongoing Managed Services
- 24/7 support for database and cloud infra.
- Performance, cost, and compliance monitoring.
Oracle Database@Google Cloud powers enterprise with intelligent, future-proof architecture where multicloud approach and modernization accelerates digital transformation, reduce costs, and enhance reliability.
With INFOLOB as your transformation partner for strategic modernization journey with zero compromise on performance, availability, and innovation.
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