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On-Premise2Cloud Migrations

Move workloads and data to the cloud in planned stages.

On-Premise to Cloud Migration is the process of moving an organization’s digital assets—such as data, workloads, IT infrastructure, and applications—from local, on-site data centres to a remote cloud computing environment (like AWS, Microsoft Azure, or Google Cloud Platform).

This structural transition shifts an organization from a rigid capital expense framework (buying hardware) to a highly scalable, flexible operational expense framework (paying for what you use).

The Migration Strategies: The "5 Rs"

When transitioning applications to the cloud, organizations evaluate their portfolio against a standard migration framework:

Rehost ("Lift and Shift")

Moving applications to the cloud exactly as they are, without modifying code. This is the fastest, lowest-risk migration path.

Replatform ("Lift, Tinker, and Shift")

Making minor, non-architectural changes to optimize the software for the cloud (e.g., migrating a self-hosted database to a managed cloud database solution).

Refactor / Rearchitect

Completely rewriting or redesigning parts of the application to leverage cloud-native features like microservices and serverless computing. [

Retain

Leaving highly sensitive, specialized, or legacy applications on-premise for security or compliance reasons.

Retire

Decommissioning redundant or obsolete applications that add no value to the modern cloud architecture

The 5-Stage On-Premise to Cloud Migration Process

A structured migration roadmap follows a sequential lifecycle to prevent data loss, minimize business downtime, and ensure security:

[Phase 1] [Phase 2] [Phase 3] [Phase 4] [Phase 5]

Plan & Strategy Assessment Design & Build Data Migration Optimize & Run

Planning & Strategy Definition

  • Aligning Objectives: Stakeholders define business drivers—such as reducing capital costs, improving data backup scalability, or unlocking faster disaster recovery features.
  • Cloud Provider Selection: Choosing the appropriate architecture (Public, Private, or Hybrid Cloud) and platforms suited to the organization’s regional compliance rules.

Discovery & System Assessment

  • Infrastructure Audit: Scanning the local data center to build an exact inventory of hardware capacities, software licenses, and underlying network configurations
  • Dependency Mapping: Visualizing how different internal servers talk to each other to ensure that related application clusters are moved together, avoiding broken integrations
  • Total Cost of Ownership (TCO) Analysis: Utilizing cost estimation platforms to model financial overhead by directly comparing local physical upkeep against ongoing cloud resources.

Cloud Architecture Design & Building

  • Landing Zone Configuration: Establishing the initial core secure framework in the cloud—defining root access permissions, user identity controls, network subnets, and data encryption keys.
  • Pilot Testing: Moving a low-risk, non-critical workload first to pressure-test the network pipeline and build confidence before handling vital systems.

Workload & Data Migration

  • Data Transport: Migrating data pipelines through secure cloud connections or physical offline storage appliances for massive multi-terabyte data stores.
  • Synchronization & Switchover: Maintaining continuous database replication between the local data center and the new cloud environment. Once both datasets match perfectly, user traffic is routed to the cloud, and the local hardware is systematically powered down.

Post-Migration Optimization & Governance

  • Performance Engineering: Tailoring server configurations to automatically scale up during peak traffic hours and scale back down to zero when idle, cutting compute waste.
  • Continuous Security Monitoring: Setting up centralized cloud logging tools to track unauthorized entry points and ensure compliance flags remain clean

Oracle technology we deliver this on

The same team covers cloud and on-premises products, so one engagement can span several of them.

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