Overview
When the company incorporates the cloud into its infrastructure, it will be ready to migrate the data as quickly as possible. However, you can make a number of mistakes during the cloud migration process that can be costly to your company. If these errors aren’t fixed, the company may face significant financial penalties. Moreover, they ma0 y expose your data to security risks and even fail to comply with data regulations. The first step is to recognize and admit that you made a mistake during your cloud migration. The next step is to take steps to correct those errors. Since there are so many business processes that take place in the cloud, the cost of a cloud misconfiguration or bad cloud optimization can be very high. That’s why it’s essential to understand the most popular cloud computing mistakes made by businesses and how to avoid making them yourself.
How do you know when you’ve made one of these mistakes? What can you do to avoid their negative impact on your business? Is there a way to stop making these mistakes in the first place? We’ve compiled a list of six of the most popular cloud migration mistakes and how to avoid them.
Migrating all your data at once:
Depending on how much data your company has, cloud migration could take months or even years to complete. Since efficient cloud migration should be performed in phases, unique bits of data should be migrated before others. When it comes to cloud migration, you’re more than likely unfamiliar with the cloud solutions offered by the provider. That makes it much more likely that your company would make a mistake when migrating data to the cloud. We can do our company’s migration to the cloud in stages. We must migrate the test data first, followed by more business-critical or sensitive data. You won’t be putting sensitive data at risk if you make errors early in your cloud migration. Then, as your company becomes more comfortable with its cloud implementation, it can begin migrating more critical data.
Assuming that every cloud environment is identical:
You may think that since every cloud environment is similar, moving from one to another won’t be a big deal. Every cloud provider creates a unique cloud environment, focusing on specific features and capabilities for their deployment. As a result, you can never move data from one cloud to another without first familiarizing yourself with the new cloud environment.
Without a business purpose, migrating data and workflows:
It’s not a good idea to move something to the cloud just because you can. If your company decides to incorporate cloud computing into its infrastructure, it should do so with a specific business goal in mind. It is also true of cloud migration that the company must have a compelling justification to move its data and processes to the cloud. Cloud technologies have become increasingly efficient, and it is now possible to conduct virtually any business activity in the cloud. However, this does not imply that you can perform them in the cloud. Your team should weigh the costs and benefits of migrating a process or a set of data to your cloud environment before deciding if the move is worthwhile.
When it comes to moving data or projects to the cloud, you can’t just throw something in there and expect it to function right away. You can need to reconfigure your data to operate within the cloud, depending on your file types and the cloud environment you’re using. Running a cloud-based application can necessitate more computing power than your cloud provider can supply. Be sure to test all cloud-based software or projects to ensure that they work correctly.
Not projecting the cost of cloud migration:
For your business, cloud migration can be an expensive operation. Even if the end result is worthwhile, unforeseen expenses can arise during the transition process. You must take into account the total cost of running the data and techniques in the cloud. Whatever the cost, the company must be having a rough estimate in place ahead of time, just in case they’re hit with a financial setback they weren’t expecting.
Forgetting about cloud security:
We describe the Cloud SLAs by the Cloud Standards Customer Council as written service requirements between cloud customers and providers. Companies can assess cloud SLAs using a variety of measures, according to the Council, which include:
- Recognize your duties and tasks.
- Recognize the variations between service and implementation models.
- Examine the standards for protection and privacy.
- Examine the disaster recovery options.
- Recognize the exit procedure.
Even when moving services to the cloud, keeping the data safe should be a top priority at all times. You can’t just assume that the cloud environment to which you’re migrating your data is stable. Although cloud providers use various resources and policies to protect their environment, you are also responsible for cloud security. The essential obligations for your company and the cloud vendor can differ and should be specified in the service level agreement with the provider.
Three cloud architecture mistakes that we all make but can avoid
Overdistribution:
Among the three common cloud mistakes, this is the first mistake we usually make. We should not decouple application and data components and run them all over the place using network-connected systems only because we can. Since it’s so easy to provide all kinds of platforms on various clouds and have a simple path to link them, cloud architectures are particularly vulnerable to this error. Many of the principles of good design still apply. Place processing and data storage for the same applications and data stores as close together as possible. This usually refers to intracloud, but it may also refer to intraplatform within the same cloud.
Security as the last step:
We used to add security at the end of the process. If you do that with a cloud project, you’ll end up with a security framework that’s suboptimal at best and dangerously vulnerable at worst. Security cannot be an afterthought in the world of cloud computing. Moreover, they add complexity and expense to the system design and construction processes. They also have structural protection for the app, data stores, platform, and hosting cloud. We must keep security in mind in each and every step.
Not architecting to accommodate change:
We didn’t develop applications with change in mind twenty years ago. We’re now paying the price because such an application must be refactored in order to migrate to the public cloud or be enhanced in other ways. As taught by SOA (service-oriented architecture), designing for the shift pays massive dividends in the long run.
Bottom Line
Cloud computing, whether public or private, is used in a variety of sectors, including banking and financial services, retail, manufacturing, and media and entertainment. However, many companies continue to make mistakes that can cost them a lot of money if not handled properly while implementing cloud technology.
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