This article provides information on the cloud migration process. The target audience is companies looking to shift their IT resources and applications to the cloud. The article explains different cloud migration deployment models and considerations that should be taken into account before executing the cloud migration process. The article also provides information on cloud migration assessment tools. The audience includes business leaders, IT managers, and professionals who are involved in cloud migration.
Running outdated, inefficient, insecure, and expensive legacy systems is unnecessary. Companies can shift their applications, IT resources, databases, and digital assets to the cloud. By following the cloud migration process, companies can effectively transition from inefficient legacy systems to cloud computing. Those already in the cloud can also migrate to a different vendor.
Moving to the cloud is a huge achievement, but it is insufficient. Organizations must also work out how to edit their applications to match the cloud. Based on your company size and other parameters, you might require specific advice from one of the best cloud migration companies. Before hiring any company, read the whole of this article to understand everything about cloud migration.
Some deployment models exist, including the following:
Also known as the rehosting model, the lift and shift approach is the easiest to use. Move your applications, servers, and digital assets onto a public cloud hosting environment. The service provider will use the right migration tools to export your business resources to the public cloud without altering anything. While it is easy and quick, rehosting does not offer unlimited use of the native features of the shared public cloud.
This is an upgraded lift and shift methodology. No wonder its other name is re-platforming. Instead of shifting your resources as they are, alter the applications’ API, upgrade the middleware, and optimize your OS. These actions can reduce post-migration work and ensure that your applications are compatible with the cloud. The lift and optimize model involves re-coding and restructuring various things before shifting them to the cloud. Hence, you need the help of an expert cloud migration architect.
Also called the repurchase model, the drop and shop model is quite common. Often, a company should stop using an existing license agreement in favor of another. For instance, it can drop an ERP software tool that no longer meets its needs and get a new SaaS-based product.
This model (also known as re-factor) suits a company that wants to take full advantage of the cloud’s native features. Hence, it must readjust its current applications for the cloud environment. That means developing cloud-compatible applications from scratch. Refactoring cloud data migration is expensive initially and cost-effective in the long run.
Also known as retain, the hybrid model uses a combination of public cloud and in-house hosted servers. In short, one shifts some components to the cloud and leaves others on your legacy servers.
If a company has redundant infrastructure components, it can use the retired model. It entails archiving applications that do not add value to business operations. Even after shifting these components to the cloud, the business will continue to run and serve its customers as usual. The retired model also entails substituting the archived applications with less complex ones.
Cloud database migration can be a complicated process depending on the quantity of business data and resources you have. It requires proper analysis, planning, and implementation. Thus, you should know the things to consider before executing the cloud migration process. Your considerations must include:
With a cloud migration checklist, you now need the best assessment tools. As you select the best tools, consider their features. A good assessment tool should provide:
The three main cloud migration consulting companies include Amazon (AWS), Microsoft Corporation (Azure), IBM Cloud platform, and Google (Google Cloud).
When shifting your operations to the cloud environment, there are four steps you must follow. These include:
These tools assess your readiness for cloud computing. They review each application and data infrastructure to see if it is compatible with the cloud environment. Once you analyze and understand your requirements, you can match them with the best applications and cloud service vendors.
As we said earlier, Amazon Web Services (AWS), Microsoft Azure, IBM Cloud, and Google Cloud are the top three cloud migration tools. Each tool has unique pros and cons, and using one option is sometimes not good enough. Depending on your migration model, you can use one or two assessment tools at once.
Cloud migration 365 has its benefits and challenges. The advantages include:
Moving to the cloud has more benefits than challenges. So, consider that you might face these cloud migration challenges:
As businesses of all sizes envy big data analytics, we expect more of them to shift to the cloud soon. Also, the template-driven processes are more reliable than the assumptions that IT professionals make. Covid-19 triggered the remote work system, and it is likely to persist in the future. More and more businesses have realized that managing remote staff within a cloud environment is more effortless. Besides, we expect new cloud migration trends to crop up, including FinOps. This trend will help companies to figure out their cost considerations.
Cloud migration refers to shifting business operations to a web-based storage facility belonging to a third-party service provider. Whether the journey entails shifts from a legacy system to the cloud or from a cloud system to another, it includes a series of steps. Usually, the six stages of the cloud journey process briefly include:
You require specific tools to carry out the six cloud migration steps. Thus, you should compare and contrast free and paid cloud migration tools. Most companies prefer to try the free cloud migration tools first. These include Amazon Web Services, Microsoft Azure, and Google Cloud.
These tools are free, but users still pay for various cloud resources. With all three, users can shift masses of data with little to no downtime. The Turbonomic and Corent Surpass are good options if you go for paid migration tools.
Several benefits can arise from integrating data between cloud and legacy systems or data between two or more clouds. These include:
Scalability – First, storing data in the cloud promotes remote working systems. Also, it relieves employees of some routine duties that decline their productivity. A company can scale and expand quickly if operation costs are reduced and employees become more productive
Cloud migration is the process of moving IT resources, applications, databases, and digital assets from a legacy system to cloud computing. There are six deployment models to choose from: lift and shift, lift and optimize, drop and shop, re-architecture, hybrid, and retire. Considerations for cloud migration include setting goals, choosing the best cloud type, addressing resistance to change, assessing security, analyzing legal and regulatory requirements, managing and governing operations, developing cost analysis and optimization strategies, and determining performance review methods. Good assessment tools should provide a database migration service, data transfer application, on-premise application assessment, data storage integration, data recovery plan, server migration, and a migration tracker