Cloud migration is the process of moving data, applications, or workloads to a cloud computing environment. You can move all your infrastructure or some applications and services to the cloud. There are different types of cloud migrations that an organization can opt for. It can be the transfer of data and applications from an on-premises data center to the cloud. It can also be moving data and applications from one cloud platform to another provider.
We help customers move their existing applications, workloads, and services from their existing Data Centres to the cloud, or from one cloud provider to another. The objective of a cloud migration service is to seamlessly migrate the existing infrastructure of the customer to the cloud which will significantly reduce the total cost of ownership and increase performance. The key objective of our cloud migration exercise is to keep the downtime minimal with lift and shift during migration by making sure that we follow security and compliance best practices.
We help organizations to move their on-premise infrastructure to any cloud platform including private, public, or hybrid cloud. An optimal cloud strategy provides businesses with greater flexibility by moving workloads between cloud solutions as needs and costs fluctuate.
The cloud platforms where our team has expertise in migrating data to the cloud are given here.
A recent report from Cloud Security Alliance suggests that a majority of Cloud Migration projects have experienced failure or disruptions due to a lack of planning and complexity involved in moving to the cloud. Migrating applications from on-premises environments to the cloud without proper planning can be expensive and troublesome, resulting in work interruptions, performance issues, and security loopholes. A lot of organizations end up in trouble by moving to the cloud without following proper processes and steps. Given below are the steps that we follow for successful Cloud migration.
Cloud Migration comes with its own share of challenges and the same needs to be analyzed in detail before moving ahead with cloud migration. The majority of Cloud migrations fail to achieve the initial objectives due to the challenges faced. The major challenges are:
The cloud offers unlimited scalability and lowers IT costs for organizations by only charging for the resources they use. But the truth about most of the popular cloud services is that the customers are charged for the resources they order irrespective of whether they use them or not. In a recent Gartner report, analysts Brandon Medford and Craig Lowery estimate that as much as 70% of cloud costs are wasted. Fortunately, there are best practices available for cloud cost optimization. We provide specialized cloud optimization services. Cloud optimization is the process of reducing your overall cloud spend by identifying mismanaged resources, eliminating waste, reserving capacity for higher discounts, and right-sizing computing services to scale.
We make sure that our customers are secure and cost-optimized using better cloud and infrastructure planning and adaptation. Our team has experience with cloud migration and cloud optimization for all major cloud service providers like AWS, Azure, Google, Digital Ocean, Rackspace & Alibaba
The Cloud Optimization process consists of 3 stages.
Copyright © 2026 Clouds Dubai, Powered by Oktohut
Non-Intrusive Analysis:- Unlike any other service provider, we don’t ask for access at any level to your existing environment – be it for cloud optimization or On-Prem to cloud migration. Instead what we require is the following:-
Re-Architecting the Solution:- This is the stage where our team will create a draft of the proposed solution with the approximate cost savings and present it to the customer. Customers can evaluate and decide if they want to move to the next phase.
Implementation:- Our team will fine-tune the Cloud architecture to come up with a low-level architecture diagram. Once the HLD and LLD are approved, we start the real-time implementation process. The strategy for implementation is generally done using the Blue-Green-Model so that the downtime can be kept either to zero or near zero. Once the implementation is over, we monitor the setup for at least a month for usage patterns to help adjust the autoscale policies and reserved Instances.