Last Updated on 2 years by AlexJames
According to cloud statistics, a vast majority of organizations (92%) already have a multi-cloud strategy. 70% of organizations consider migrating their workloads to the cloud as their top priority. This clearly shows the demand for hybrid and multi-clouds and migrating workloads to the cloud is on the rise.
With more and more businesses jumping on the cloud bandwagon, it is no longer about migrating the workloads from your cheap dedicated server hosting to the cloud. In fact, it is now about moving cloud workloads from one platform to another. Since most cloud adopters are either using hybrid or multi-cloud models, moving workloads between different cloud platforms is a regular affair.
The problem is that moving workloads from one cloud platform to another is not as easy as you think. You need to decide which applications should run on which platform. Workload portability is another important consideration that you should keep in mind when moving workloads. Irrespective of which cloud platform you choose to run your applications, it should provide you with flexibility and scalability options.
If you are struggling with transferring your cloud workloads to different cloud platforms, then this article is for you. In this article, you will learn about four essential strategies that will help you move your cloud workloads efficiently.
How To Move Your Cloud-Based Workloads Effectively?
Here are some of the steps you can take to move your cloud-based workloads to different cloud server platforms.
Flexibility to Change
As your cloud infrastructure grows in complexity, it becomes more and more distributed and diverse. This makes it more difficult for businesses to manage them. Moreover, it also increases the risk associated with making changes as you could end up breaking the whole system.
You can use tools to create abstraction and minimize that risk to a certain degree. These tools can also help you with workload portability and streamline your cloud operations. Users can also use an identity and access management system to manage everything through a centralized dashboard or use standards like Security Assertion Markup language (SAML) to transfer identity data more easily.
The pace at which things evolve in a cloud environment forces businesses to adopt an open standard instead of a proprietary standard as it supports the pace of change in a much better way. Not only that, but open standards are also cost-effective, provide long-term flexibility, and are easy to integrate at the same time.
Justin Dempsey, Senior Software Development Manager at SAS summed it up brilliantly when he said, “Creating a matrix of tools that you control and noting which ones are cloud agnostic, non-cloud portable or cloud-specific helps you assess the risk involved for moving from one cloud to another or creating architecture that needs to span cloud providers.”
Decide Which Apps Fit Best Where
Once you have the assurance that making changes won’t break down your cloud infrastructure, the next step would be to set criteria that would help you decide which apps fit best where. Make sure you have clearly defined criteria that let you decide which workloads should be migrated to the cloud and which ones should be run on a dedicated server or VPS cheap.
Here are some of the things you should consider when deciding which workloads should be migrated and which ones should not be.
- Data gravity and proximity to other apps and data
If performance is your top priority then this should be the most important factor you should consider. The closer your app and data are to your workloads, the easier it is to fetch and access them. This will minimize the delays and deliver a smoother user experience.
- Toolset available for particular cloud platform
The number of tools available for a particular cloud platform will also play an important role as it will determine what actions you can perform. Every cloud platform offers different tools so make sure you choose a cloud platform that offers all the tools you need.
- Cost of migration
Migrating workloads from one cloud platform to another takes tons of resources, time, and effort. All these directly influence the overall cost of cloud migration. Keep an eye on the factors that impact the cost as it can determine how much you will pay at the end for the cloud migration.
- Room for scalability
There are two types of workloads. One remains stable while the other fluctuates rapidly. If your cloud workloads belong to the former category, you need to opt for a cloud platform that offers you the ability to scale. This will enable you to cater to the spikes in demands and prevent performance slowdowns even under heavy loads.
- Geographic location
Your geographic location can also play a part as different countries have different legislation and rules regarding technology infrastructure. Not only that, but your location can also influence the performance as the further away the servers are from your location, the longer it will take to respond.
Keeping Costs Under Control
One of the biggest reasons why most businesses have already jumped on the cloud bandwagon is because of the cost benefits. Sadly, estimating cloud costs is not as easy as most people might think. Many businesses wrongly classified application costs as infrastructure costs. That is why they end up overpaying for cloud services.
Secondly, you should never adopt the cloud for the sake of it. If cheap dedicated hosting is cheaper, there is no point in migrating your workloads to the cloud. You can only get cost benefits from the cloud only. When you can use it for instances where the cloud can deliver great value for your organization.
Ditch Complexity and Embrace Agility
Hybrid and multi-cloud environments can quickly get complex. You must have full control and flexibility in order to simplify it for your developers. Focus on how you can remove friction between development teams and foster collaboration. Try to keep things as simple as possible and encourage your development teams to be agile. You can use tools that can automate or streamline different stages of the project lifecycle for better efficiency.
Which strategies do you use to move your cloud workloads? Share it with us in the comments section below.