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GCVE - GCE Comparison

This document discusses strategies for modernizing applications using Google Cloud VMware Engine (GCVE) or Google Compute Engine (GCE). It outlines two main strategies - Lift and Shift and Lift and Optimize. Lift and Shift involves migrating VMs from an on-premises VMware environment to GCVE with no changes, while Lift and Optimize migrates workloads to GCE and transforms them to be optimized for the cloud. The document then compares the pros and cons of each approach and outlines why GCVE may be preferable to similar offerings from AWS or Azure.

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PS Manikandan
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2K views9 pages

GCVE - GCE Comparison

This document discusses strategies for modernizing applications using Google Cloud VMware Engine (GCVE) or Google Compute Engine (GCE). It outlines two main strategies - Lift and Shift and Lift and Optimize. Lift and Shift involves migrating VMs from an on-premises VMware environment to GCVE with no changes, while Lift and Optimize migrates workloads to GCE and transforms them to be optimized for the cloud. The document then compares the pros and cons of each approach and outlines why GCVE may be preferable to similar offerings from AWS or Azure.

Uploaded by

PS Manikandan
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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Shift (GCVE)

Lift &
Optimize (GCE)

RR – Feb 2021
Decision Tree -
Application
Modernization
Re-platform
Cloud
Migrate GCE
Rehost -
Migration
using HCX
GCVE
GCVE GCE

Lift & Shift


• Lift & Shift – Closest to source • Lift & Optimize – Closer to modernization
• Vmware to Vmware • Any source to GCE
Vs • Uses HCX to migrate VMs • Uses Cloud Migrate (Velostrata) to
migrate to GCE
Lift & Optimize • Fixed Compute nodes
• Maintains homogeneity between source
• Elastic compute nodes
and destination • Transforms and optimizes on the fly
• Consistent Behaviour • Replatform could result in rollbacks
• No changes to boot • Faster boot
• Vmotion requires ESXi 5.5 minimum • Depends on source
• Direct Interconnect is needed • Direct Interconnect preferred
• Uses NSX-T for VMWare Management • VPC
and VPC for VMs
• Flexible Cost/ use and throw
• Fixed Cost based on allocation with
minimum 3 node purchase (expensive) • Google VMs
• To reduce TCO, may consider GCE as next • To modernize, may consider GKE as next
phase phase
Google Cloud VMware AWS and Azure
Impact
Engine Environments

Cost Savings ✓ GCVE 25%+ cheaper than On ✕ More expensive than Google
Prem Cloud

Consumption Model ✓ First party service, unified ✕ Fragmented by partnership


connectivity models

Why Google Connectivity ✓ Enterprise grade redundancy


and reliability in Google Cloud
✕ AWS non-redundant
✕ Neither AWS nor Azure able to

Cloud ✓ Leverage Google Cloud native


network services
consume native Cloud network
services

Vmware Single Relationship ✓ One stop-shop - purchase, ✕ Multiple contracts with VMC and

Engine support, VMware licenses, and


Cloud - with no other vendors
involved
AWS
✕ Azure VMware solution is a non-
native marketplace solution

Application Modernization ✓ Segue to app mod at ✕ Limited by non-native, multi-party


customer’s own pace enabled complexity
by above attributes
GCVE over On-prem

Ease migration Lower costs Run securely Create Innovate


operational agility
Move VMware workloads Deliver efficiency Run with confidence Operational continuity Build on Google Cloud services
to the cloud as-is
Leverage Google Provide best in class Unified management
Cloud SQL Tensorflow
No refactoring Cloud economies security
of scale Cloud Operations
Maintain continuity Anthos
Google
Kubernetes Network
Engine

BigQuery Cloud
Storage

Migrate Run Innovate


Backup of VMware VMs - Example using Veeam

Google Cloud VMware Engine

Dedicated VMware Stack


Google Cloud
Customer VPC

Proxy Veeam Backup


Repository
Cloud
Storage

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