The cloud has a variety of options to meet any business need, including compliance. A company can run wholly in the cloud or use a hybrid model in which some components run in the cloud while others remain on-premise. The goals for a business transitioning to the cloud can be determined by breaking down a hybrid environment into multiple models. After you’ve decided on the migration solution that best suits your needs, you’ll need to figure out which cloud provider has the capabilities you’ll need for a successful integration. We break down the six R’s of cloud migration, as well as a list of perks and strengths for each of the three major cloud providers: Google, Microsoft, and Amazon.
Six Reasons to Move to the Cloud
The terms Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service are all recognizable to most consumers (PaaS). These sections describe how the company uses cloud services, but they don’t go into detail about how the cloud can help with specific goals. Organizations don’t know which solution is the most effective for their situation unless they define goals.
There are six common motivations for companies to migrate to the cloud. Although migration goals may encompass multiple migration solutions, they usually fall into one of these six categories, sometimes known as the six R’s of cloud migration:
Re-hosting (also known as “lift-and-shift”) is the process of moving a website to a new location. Organizations that are rapidly expanding may run out of on-premise computer resources and want a scalable solution. By shifting a mirror image of the environment to the cloud, the organization simply expands current resources. There are no significant changes to the overall network design. Virtual machines, apps, and identity management are all replicated in the cloud, but with greater scalability and processing capacity than on-premise. By switching to AWS, GE Oil and Gas, for example, was able to cut IT expenses by 52% and increase computing power to meet growing demands.
Re-platforming (also known as “lift-and-optimize” or “lift-and-tinker”) is the process of re-platforming a computer. A bottleneck in some business applications could be caused by a single resource rather than all on-premise limits. An on-premise database server, for example, could be entirely to blame for sluggish application development. In this case, upgrading the database server or moving it to the cloud, where computing power can be considerably boosted and scaled dynamically, makes sense.
Codebase changes are required for migrations using a re-platforming solution. Because even the tiniest code change must be evaluated before being deployed, this concern should be built into the migration process. Developers may need to modify tables and objects to meet the new database architecture if the database changes.
The program functionality remains the same in this type of migration, but the resources utilized to perform it are new and enhanced. Although the application’s functionality stays unchanged, this migration technique can be utilized to enhance existing features. Additional monitoring and cybersecurity technology provided by a cloud provider, for example, could boost the organization’s total threat resistance.
Drop-and-shop (also known as repurchasing). PaaS migrations are the primary focus of repurchasing solutions. When a business decides to replace an entire program with a new solution, this migration strategy is typically adopted. An internal sales team, for example, may be moved from a proprietary sales platform to Salesforce. Staff training is the most important aspect of repurchasing, but it may also necessitate some reprogramming to integrate the new solution into existing applications.
Refactoring (sometimes known as “re-architect”) is a technique for reorganizing software. Refactoring solutions, as the name implies, totally re-architect or rebuild present application infrastructure as well as (possibly) the coding. It’s the cloud solution’s “do-over.” It could be time to refactor an application if it can no longer scale or satisfy business requirements. Instead of restructuring with on-premise solutions, the company may decide that cloud computing is more advantageous.
Refactoring a monolithic codebase to containers is a nice illustration of this method. The monolithic codebase can be broken down into functional sections, such as billing and sales. Each component can be loaded into a container cluster independently. The container nodes form a cluster that dynamically scales up during peak resource demand and scales down when resources are no longer required.
Retaining (sometimes referred to as “hybrid”). A retaining solution might be used by companies that wish to try out the cloud or learn about its benefits gradually. The organization uses retention to provide some cloud resources while keeping other programs and data on-premise. This could be due to a recent application upgrade or the payment of a year’s worth of licence. It could also be owing to concerns about cloud security, but cloud security breaches are mainly caused by client misconfigurations rather than provider flaws.
Retiring (sometimes known as “turning off”) is the process of turning off a device. Rogue programs, which are still utilized by some employees but no longer perform mission-critical functions, are common in large organizations. Another application has the functionality to assist the business in this case, but the organization is hesitant to move and remove it permanently. It’s not just for applications that people retire. It also includes servers, routers, switches, and other computing hardware that is no longer in use. The organization migrates resources to the cloud before retiring them. Both on-premise and cloud resources are usually run concurrently to verify there are no defects to repair, and then the application and on-premise hardware are decommissioned after a period of time, and the final cutover takes users to the cloud-hosted environment.
Selecting a Cloud Service Provider
With your objectives in mind, it’s time to pick a cloud provider. Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure are the three market leaders. Despite the fact that all three provide identical services, their tools and solutions do not interact, making it easy for businesses to fall into the lockdown trap. The lockdown trap occurs when a company is unable to switch providers because migration is a large project that can cost millions of dollars. Some businesses utilize a hybrid of at least two providers to avoid lockdown.
Even if you decide that at least two cloud providers are required, you still have to choose amongst three major market participants. Before deciding which one to partner with, administrators and key stakeholders should do some research, and each supplier offers a free trial:
- GCP: A free tier account with $300 in credits to use on services for 90 days.
- Azure offers a free 12-month subscription, a $200 credit for 30 days, and 25 free services.
- AWS: A few services are free, and some provide free trials.
In general, all three companies offer services that are similar to one another. The biggest distinction between them is in their areas of expertise. AWS, for example, is frequently used by developers. Amazon provides various APIs for integrating services and administrators have access to around 200 services. Because of their familiarity with the Microsoft brand, C-level executives frequently pay attention to Azure. Most businesses prefer GCP for containerization, Kubernetes, and machine learning.
We’ll break down popular hobbies and interests to help you figure out which platform is best for you.
Services and Features
All three platforms have a wide range of functions to address any issue. Virtual machines, serverless computing, machine learning, infrastructure provisioning, and APIs to link the cloud into internal applications are all available from all three companies. They all embrace cutting-edge technology like the Internet of Things (IoT), but many firms are now focusing on machine learning and artificial intelligence (AI).
In the field of machine learning (ML), Google is the undisputed leader, but AWS has responded with SageMaker. Azure also includes a machine learning service, which is mostly used by developers to build ML-enabled apps. Although most corporations look to Google for machine learning, AWS has lately launched a number of ML services that handle specialized activities including image and video recognition (AWS Rekognition), text to speech (Polly), and access to the ML that powers Alexa (Lex). Google, on the other hand, continues to offer its popular AI service, which includes access to the TensorFlow open-source library.
IaaS and Compute Resources
Amazon S3 buckets are a popular alternative if you only require a simple data storage solution. S3 scales when more storage is required and can be integrated into local or cloud applications. For massive file transfers and storage, AWS also offers Elastic Block Storage (EBS), Elastic File System (EFS), and Glacier backup services. It’s a popular option for storing items. Although both Azure and GCP offer cloud storage, AWS is the most popular option.
Azure virtual machines are useful for managers who are experienced with Windows servers, and they also support Linux. Administrators may use Azure to create virtual machines and use Microsoft’s compute resources to replicate a whole on-premise network. EC2 instances are available from Amazon, and Google Compute Engine is available from Google.
Database services are available from all three, including NoSQL and relational databases. For apps that use Microsoft SQL Server, Azure is a popular choice. Amazon’s Relational Database Service (RDBS) and Redshift, as well as Google’s Cloud SQL, are both available. Azure DocumentDB, Amazon DynamoDB, and Google Bigtable are offered as NoSQL choices.
For enterprises, GCP Kubernetes and container scaling is a great alternative. Both Amazon and Azure offer an Elastic Kubernetes Service. Google is the main provider in this market due to its participation in the open-source community, while Azure was the final provider to offer container services.
For cloud provider pricing, there is no side-by-side comparison. Each provider has its own pricing, discounts, and service structure, and the location of the data center has an impact on the cost. The simplest approach to figure out how much something will cost is to utilize the pricing calculators provided by the providers.
- Calculator for AWS price
- Calculator for Azure price
- Calculator for GCP pricing
Cloud migration begins with a plan, which begins with a problem on-premises that must be addressed, such as scalability, dependability, security, or performance. Spend some time studying suppliers after you’ve decided on a solution. Every supplier offers identical services, but which one you choose will affect your future success in scaling and expanding services. TESO can assist you with your relocation and provider selection.