Migration Services

On-Premises to Google Cloud Migration Services

Codimite helps businesses migrate on-premises applications, virtual machines, databases, storage, and infrastructure to Google Cloud. Modernize securely, improve scalability, and reduce dependence on aging data center hardware.

On-Premises to Google Cloud Migration services

Modernize Your Infrastructure

Move from On-Premises Infrastructure to Google Cloud

Reduce Hardware Dependency

Move away from aging servers, storage systems, maintenance contracts, and recurring hardware refresh cycles.

Scale Infrastructure on Demand

Adjust computing, storage, and application capacity as business and workload requirements change.

Modernize Legacy Applications

Rehost existing workloads or modernize them using containers, managed databases, Kubernetes, and serverless services.

Improve Resilience

Design workloads across zones and regions to support availability, backup, and disaster recovery requirements.

Strengthen Security and Governance

Apply centralized identity, access, networking, logging, monitoring, and cloud governance controls.

Unlock Data and AI Capabilities

Connect migrated data and applications with BigQuery, Vertex AI, Gemini, analytics, and machine learning services.

Migration Process

A Controlled On-Premises to Google Cloud Migration Process

  1. 1

    Assess and Discover

    Inventory applications, servers, virtual machines, databases, storage, networks, dependencies, licensing, and infrastructure costs.

  2. 2

    Design the Cloud Foundation

    Define the Google Cloud landing zone, identity model, networking, security controls, governance, logging, and resource structure.

  3. 3

    Prioritize and Pilot

    Select suitable workloads for an initial migration and validate compatibility, performance, security, and cost assumptions.

  4. 4

    Migrate and Modernize

    Rehost, replatform, refactor, or rebuild workloads based on their technical requirements and business value.

  5. 5

    Validate, Cut Over, and Optimize

    Test functionality, data integrity, security, performance, resilience, and monitoring before completing a controlled cutover.

Why Codimite

A Trusted Partner for On-Premises to Google Cloud Migration

As a Google Cloud Partner, Codimite combines cloud architecture, application modernization, data engineering, security, AI, and DevOps expertise to support end-to-end migrations.

Talk to a Cloud Migration Expert
  • Migration-Led Cloud Assessment. We evaluate your data center environment, dependencies, costs, risks, licensing, and modernization priorities.

  • Google Cloud Architecture Expertise. Our teams design scalable environments across Compute Engine, Google Kubernetes Engine, Cloud Run, managed databases, storage, data, and AI services.

  • Application and Database Modernization. We migrate virtual machines, applications, databases, storage, APIs, containers, and business-critical workloads.

  • Security and Governance Planning. We incorporate identity, access, network security, encryption, policies, logging, monitoring, and compliance requirements into the target environment.

  • Risk-Managed Delivery. Pilot migrations, parallel environments, replication, testing, rollback planning, and controlled cutovers help minimize disruption.

  • End-to-End Support. Codimite manages discovery, architecture, migration, validation, optimization, documentation, training, and ongoing support.

Comparison

On-Premises Infrastructure vs Google Cloud

Comparison Area On-Premises Infrastructure Google Cloud Opportunity
Infrastructure ownership Business purchases and maintains physical hardware Use cloud infrastructure without managing the underlying data center
Cost model Significant upfront hardware and facility investment Usage-based operational spending with cost-control options
Capacity planning Hardware must be purchased before demand increases Scale computing and storage resources as requirements change
Hardware lifecycle Requires upgrades, replacements, warranties, and maintenance Reduces direct responsibility for physical hardware refresh cycles
Deployment speed New capacity may require procurement and installation Provision infrastructure and managed services through software and automation
Application modernization Legacy applications may depend on fixed infrastructure Use containers, Kubernetes, serverless platforms, and managed services
Availability Requires secondary infrastructure and disaster recovery planning Design services across zones and regions for resilience
Data and AI Often requires separate platforms and infrastructure Connect workloads with BigQuery, Vertex AI, Gemini, and analytics services
Operations Internal teams maintain hardware, virtualization, patching, and facilities Use managed services to reduce selected operational responsibilities

FAQs

Frequently Asked Questions

Does the entire data center need to move to Google Cloud?

No. Codimite can migrate selected applications, virtual machines, databases, storage, or development environments while retaining suitable workloads on-premises.

What on-premises workloads can be migrated to Google Cloud?

Common workloads include VMware and Hyper-V virtual machines, business applications, databases, file storage, containers, data platforms, APIs, and backup environments. Google Cloud provides documented migration options for several on-premises virtualization platforms.

How is large-scale on-premises data transferred to Google Cloud?

Data can be moved through network-based transfer services or physical Transfer Appliance devices, depending on volume, bandwidth, location, security, and migration timelines.

Can on-premises migration be completed without downtime?

Minimal or near-zero downtime may be possible for suitable workloads through replication, parallel environments, staged cutovers, traffic switching, and rollback planning. The approach depends on the application and data-consistency requirements.

Will moving from a data center to Google Cloud reduce costs?

It can reduce hardware, facility, maintenance, and selected operational costs, but the final outcome depends on workload usage, architecture, licensing, data transfer, and cloud resource management.

How long does an on-premises to Google Cloud migration take?

The timeline depends on the number of workloads, data volume, application dependencies, security requirements, modernization scope, network capacity, and acceptable downtime.

Plan Your On-Premises to Google Cloud Migration

Identify which workloads should be migrated, modernized, or retained through a focused cloud assessment.

Talk to a Cloud Migration Expert
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