Six Cloud Migration Strategies for Applications

Six Cloud Migration Strategies for Applications

The Cloud has become the go-to computing point for enterprises these days. Many companies prefer to transition their existing apps to the Cloud, simply because of the security and efficiency benefits the platform can provide. No matter the type of IT environment within your enterprise, chances are the Cloud will prove to be beneficial.

Moving to the Cloud needs to be practical and resourceful; it does not have to be simultaneous and all at once. In other words, some applications should be run in the traditional manner, while some can slowly and steadily be transitioned to the Cloud. With this mode, one can make use of the hybrid Cloud model, wherein a few apps can work on the Cloud, while others are slowly and steadily moved over.

If you are also looking at making use of the Cloud for running your business-related apps, then it is time to check out the following options available for the process.


Re-hosting is all lift and shift since it entails redeploying apps to a cloud-based environment, where changes are made to the app’s host configuration. This type of migration is not only easy but also considered to be a quick and seamless transition methodology.

What makes this solution appealing is the use of the re-hosting capabilities with the likes of AWS VM Import/Export; however, this does not stop customers from learning as they go. In other words, once apps are in the Cloud, redesigning them to meet your current demands is an easier task. Generally speaking, re-hosting as a migration option is best suited for large-scale enterprise transitions. With such extensive scale migrations, enterprises can realize cost savings up to 30%, without having to involve any cloud optimizations.


Re-platforming is all about migrating applications, and their components, to a cloud-managed platform without having to change the core application architecture. The essential idea is to run applications on the Cloud provider’s platforms, which entails replacing the configuration of the app’s architecture, without worrying about the implementation of developer cycles.

Backward compatibility is an added advantage of re-platforming, as it allows developers to reuse known resources, without going into the nuances of new app development. However, at the same time, re-platforming is a relatively new concept and is yet to gain the necessary traction in the PaaS market.


As the name suggests, this method is all about re-architecting existing applications to run smoothly in the Cloud platforms by leveraging the features or services provided by the cloud provider. This feature usually comes into play, when an enterprise is interested in customizing and developing the software within the Cloud, to cater to new ventures or software needs. However, this comes with its own set of disadvantages, which translates into the loss of legacy codes and known development frameworks.

Despite the disadvantages, it is difficult to overlook the advantages it brings with it. When you look at re-architecting as a migration option, it opens up the enterprise’s access to a series of world-class developing tools, which are available on the cloud provider’s platform. Such advantages include the likes of pre-designed customizable templates, along with a set of data models, which can enhance productivity greatly.


Repurchasing often means that old application platforms are discarded with the aim to purchase new ones or to upgrade to the newer versions. Through the repurchasing option, enterprises can deploy the use of SaaS platforms, such as Drupal and in a more secure, efficient manner. While it comes with its own set of disadvantages, this option offers companies a better view of their app deployment strategies.


During the migration process, an enterprise has to do a deeper dive into the list of its owned apps’ this would mean going through every app which needs to be migrated and further trying to understand its uses and cost to the company. If the company feels the app is obsolete or not worth the money and effort of migrating to the Cloud, it can be downsized, and removed from the existing kit — this not only simplifies the cost and translates into saving for the company, but also makes it better for an enterprise to promote scalability and efficiency.


This process involves holding back applications from migration which could either attract a significant amount of time in rearchitecting to be able to run in the cloud or are not migration ready as they were upgraded recently and may turn out to be a costly affair if migrated. One may also decide to retain an application if the cloud doesn’t support the app or if there is an existing sunk cost associated with the application.

Depending on the need of the hour and the immediate uses, an enterprise can pick and choose the best available option, when it comes to migrating to the Cloud. An enterprise needs to weigh the pros and cons of the selected method and act on it accordingly. This way, there is a lot of effort which is saved in running old apps in a traditional and unconventional manner.

Also Read

The Future of Microservices and the Internet of Things
Top 5 Best Practices to Modernize Legacy Applications
How Big Data Is Changing the Financial Industry
How Cloud-Native Architectures will Reshape Enterprise Workloads

Top 5 Best Practices to Modernize Legacy Applications

Top 5 Best Practices to Modernize Legacy Applications

Legacy applications are the backbone of a significant portion of many modern organizations; the downside of such software is that they can require a lot of maintenance and financial investments to keep them in running condition. Considering requirements, it is challenging to keep these applications up and running, without incurring substantial costs and investing a lot of wasted time into the maintenance process. Despite cost and time investments, these legacy applications can’t be shown the door.

Legacy applications are used to gauge the performance of business operations. What if an organization wants to progress by staying in sync with technology, and continue making use of these technological tools to aid this advancement? In other words, in the era of the Cloud, legacy applications can come across as a little outdated, and their performance can remain restricted. However, the idea is to modernize these legacy applications, and speed up their processing prowess, to reduce costs and maximize productivity.

Legacy Applications — The List of Problems Continue

With all said and done, it is safe to say that organizations and DevOps teams have successfully trudged forward on the path of application modernization; however, these projects are occasionally time-bound and are unable to meet the targeted timelines, which creates vendor lock-in. Organizations have to choose between a single Cloud platform and container vendors, which increases the overall maintenance price over a period.

Applications such as SAP, Siebel, PeopleSoft, etc., have been built in the form of unbreakable monoliths — this means that the data associated with these applications provides excellent data security and networking options to the resident organizations. When it comes to upgrading the features of these applications in a specific manner, organizations might end up with a roadblock most of the time — even small updates will mean undertaking a long, slow testing process.

To break down the traditional stereotypes of these legacy applications, and replace them with newer more efficient application versions, it’s essential to follow these five best procedures and then decide the best approach to move forward:

Breaking the Monolith to Garner Efficiency

Break down the legacy application, from the networking needs to the overall structure to the storage configurations, and how it will look on a virtual platform. Breaking down software into separate individual components will make it easier to recreate the new model within containers; however, this approach is more feasible when it is implemented at a significant scale.

Separate Applications From Infrastructure

If the legacy applications have an underlying dependency on the organization’s infrastructure, the chances are that you would need to separate everything piece by piece, before moving onto a new platform. Check out the feasibility of the code, and the platforms it can run on. During separation, the idea is to avoid making any drastic changes, so that everything can be picked and moved when the time comes. By gaining an advantage over the traditional monoliths, you would be able to make use of storage containers, cloud environments, and different storage options to move to a platform which offers security, price, and performance, all rolled into one bundle.

The Costs of Decommissioning

When you start pulling apart legacy applications into different components, it is essential to catalog every piece, along with the cost to replicate such. Some features might be easy to implement, while others might come across as light on the pocket. At the same time, other components will be difficult to achieve and might require a lot of investment to move from one platform to another. By having a clear-cut idea on the cost, and the immediate needs, developers and operations teams can pick and choose the components needed and the combinations which need to be replicated.

Security Building is a Necessity

If you are pushing security implementation post-deployment, then you need to take a step back and start reevaluating the options. Security needs to be fused within every stage of application rebuilding, and it should be given utmost priority during the pick and drop phase. As each component is reimaged and reinvented, security can be layered between each element, and the process will become foolproof.

DevOps is the Key to Strong Results

DevOps means working together; in this case, it’s all about the operations team and the developers’ team working hand in hand to arrive at a proper, well-augmented solution. When these teams work in tandem with each other, the chances are that there will be a faster turnaround of new platforms, as more and more component combinations will be decoded and shifted from one platform to another.

In other words, the DevOps teams will be in a better position to understand what is needed, and what is not; they can also jointly decide the combinations required to bring to the new platform, thereby eradicating the need of adding on useless components, which are of no value going forth.

Also Read

How Big Data is Changing the Business World and Why it Matters
How Cloud-Native Architectures will Reshape Enterprise Workloads
Top 6 Methods to Protect Your Cloud Data from Hackers
How Big Data Is Changing the Financial Industry