Rehosting - We help you lift and shift applications to the cloud

We are a highly specialized in lift and shift services to quickly adopt public clouds.

  • We use industry standard tools to help migrate your apps and data
  • We help capture automated performance snapshots for a clear before and after comparison
  • We enable block level replication of your data to the cloud
  • Dependending upon the complexity of the project, lift and shift can be executed with very low or no downtimes.

Best Practices based approach

We deliver rehosting with best practices in the cloud engineering

Automated migrations where possible

Most Rehosting can – and should – be automated with tools and we try our best to deliver quick migrations using established tools.

Data replication

All data is asynchronously backed up using replication into the cloud into a target database.

Automated verifications

We use tools to verify whether source and destinination environments,services and infrastructure are matched.

Lift and shift resources

We've pulled together with the best resources from the internet on lift and shift on multiple clouds for your reference.

Lift and Shift - What does it mean?

The lift and shift migration approach is about migrating your application and associated data to the cloud with minimal or no changes. Applications are effectively “lifted” from the existing environments and “shifted” as-is to a new hosting premises; i.e. in the cloud. As such, there are often no significant changes to make in the application architecture, data flow, or authentication mechanisms.

Drivers for Lift and Shift

Large number of migrations over time
If you have a lot of apps to migrate and if its something that you need to do quickly and cost effectively, then lift and shift is the best recommended approach. This is assuming that you have factored the cost of the cloud compute resources.

Compelling event or pain point
A common compelling event is things like expiry of support or data centre contracts. In this case, lift and shift is the only logical option.

Virtualization and IaaS skillset
The available staff are familiar with virtualization and infrastructure-as-a-service so Rehosting matches their skill sets (whereas Replatforming and Refactoring need more skills).

Applications are black boxes or appliances
Applications may be Commercial Off The Shelf (COTS) packages contained in virtual machines.

Legacy application
Some applications are in use but are in the process of being shut down or need to be maintained for short periods of time before being shut down.

Test environments
Some environments are not well managed (on purpose) but are still important. It’s easier to lift-and-shift these to limit interruption.
However, the simplicity of Rehosting means it solves none of the cloud migration objectives of integrating with higher-order cloud services for better security, resilience, agility and cost reduction.
It’s a rule-of-thumb with cloud migrations that the more effort you put into the migration, the more benefits you get. However, it costs money to put more time and when people tend to do that, the results are directly proportionate to the effort

Major considerations in a lift and shift

The major considerations in a lift and shift migration are the performance, compute, storage, and network requirements of the application.

They should be mapped from what is currently available in source infrastructure to the matching resources in the cloud provider. There is scope for significant cost savings during the migration, where over-provisioned on-prem resources can be analyzed and mapped to optimal resource SKUs in the cloud. As most of the cloud service providers offer on-the-fly upgrades, you can start with a smaller capacity and then move to a bigger one. This is a minimal-risk approach to get maximum ROI.


Performance consideration is another important aspect of lift and shift. It is important to measure baseline performance during the lift and shift process before any actual migration is done.

Data backup and Restore

Data backup and restore is another important consideration in lift and shift. It important to agree and document the frequency of data backups, the rollover to the new database and the approach for the same.

Building a RPO and a RTO plan

Recovery Point Objective (RPO) and Recovery Time Objective (RTO) are two of the most important parameters of a disaster recovery or data protection plan.

The RPO/RTO, along with a business impact analysis, provides the basis for identifying and analyzing viable strategies for inclusion in the business continuity plan.


Security is also an important consideration for the lift and shift approach as you will be moving from a trusted network to an untrusted network.

Advantages of the Lift and Shift Approach

Let us examine some of the key benefits of using Lift & Shift approach for workload migration to the cloud:

The lift and shift cloud migration approach does not demand any application-level changes as it is merely being rehosted on the cloud.

Security and compliance management in a lift and shift cloud migration can be simplified if the requirements for security are well documented and implemented in compliance with the public cloud infrastructure requirements.

The lift and shift approach uses the same architecture constructs even after the migration to the cloud takes place. That means there are no significant changes required in terms of the business processes associated with the application as well as monitoring and management interfaces.

Who do we do it for?

$200 Billion US Public Hardware and Software Company

KloudOne's team led re-engineering for a multi-billion dollar enterprise in the bay area for Lift and Shift to GCP Legacy Product Modernization

$10M CyberSecurity Software Company

KloudOne led legacy product re-development including Re-engineering complex pieces for simplicity Introducing large scale data processing pipeline Lifting / Shifting applications to make it cross cloud compatible

Telecom grade mobile advertising engine

KloudOne led product development including Introducing large scale data processing pipeline Lift and shift of existing components form AWS to GCP Build a DMP at scale(100k QPS) CI/CD pipeline with Docker/Kubernetes