13 Oct · 6 min read
Data is at the heart of successful application deployments, analytic workflows, and innovative machine learning. When migrating data to the cloud, you need to understand, among other things, where the data is for different use cases, what types of data are moving, and what network resources are available.
The cloud provides you with various benefits, including significant cost savings, increased productivity, resiliency and service continuity, and business agility. Organizations around the world realize the importance of the cloud.
Migrate to AWS means any movement of the workload from on-premises, hosted, or other public clouds.
On-premise cloud hosting is the traditional approach in which all the required software and infrastructure for a given application reside in-house. On a larger scale, this could mean the business hosts its own data center on-site.
Running applications on-site includes buying and maintaining in-house servers and infrastructure. Apart from physical space, this solution demands a dedicated IT staff qualified to maintain and monitor servers and their security.
Cloud computing is an umbrella term that refers to computing services via the internet. By definition, it is a platform that allows the delivery of applications and services. These services include computing, storage, database, monitoring, security, networking, analytics, and other related operations.
The key characteristic of cloud computing is that you pay for what you use. The cloud service provider also maintains its network architecture, giving you the freedom to focus on your application.
For companies considering their first cloud migration, you’ll want to take into account a lot of factors — from the benefits and the risks to the cloud service model and type that is right for your business.
The 8 reasons for switching from on-premise to the cloud:
Cons of using on-premises software:
Amazon Web Services (AWS) provides many services for the provision of various services, such as data storage (file hosting, distributed data storage), virtual server rental, provision of computing power, etc. These services help organizations grow faster, lower IT costs, and scale:
EC2 – Amazon Elastic Compute Cloud. An IaaS service that provides virtual servers that are controlled by APIs based on the Xen hypervisor. Equivalent remote services include Microsoft Azure, Google Compute Engine, and Rackspace; and solutions installed on local OpenStack or Eucalyptus servers.
Scope of application: Host things that you think are computers.
IAM – AWS Identity and Access Management (IAM). Is a web service that helps you securely control access to AWS resources. You use IAM to control who is authenticated (signed in) and authorized (has permissions) to use resources.
Scope of application: Customize users, add new AWS Keys and certificates.
S3 – Amazon Simple Storage Service. It provides object storage, scales and is accessible through the Web Service interface. Applicable for backups / archiving, file storage (including media) and hosting, hosting static web pages, program data, etc.
Scope of application: Store photos and other materials for websites. Keep your backups and files shared—store static sites. By the way, many services also store their data in S3.
VPC – Amazon Virtual Private Cloud. Creates a logical, isolated set of AWS resources that can be pooled using a VPN. A competitor’s solution, OpenStack or HPE Helion Eucalyptus, is used in conjunction with PaaS software.
Scope of application: Add an extra layer of protection to everything you store online. Make it look like all of your AWS services are on one small network, rather than scattered across a huge one.
Lambda – AWS App Scripts. Serverless computing platform. Runs code in response to internal or external events such as an HTTP request, publicly providing the required resources. Lambda is deeply integrated with AWS, but services like Google Cloud Functions and open source solutions like OpenWhisk are gaining popularity.
Scope of application: Run small snippets in JS, Java, or Python for specific tasks.
As is already known, the cloud provides you with various benefits, including significant cost savings, increased workforce productivity, operational resilience, and continuity of services, along with business agility.
There are several strategies for migrating applications to new environments. One of the most common cloud migration models is the transfer of data and applications from a local data center to a public cloud like AWS cloud.
Here are the steps in the migration process from the on-premises application to AWS Cloud:
⇒Phase 1. Discovery.
Define which applications can be moved to the cloud and which can’t.
⇒Phase 2. Assessment.
Choose a migration method. Depending on the data, AWS provides different ways to migrate your application, such as AWS Snowball, AWS Snowmobile, AWS Direct Connect, and so on. Once you choose the right way to move your data, also look for the resources you need.
⇒Phase 3. Proof of concept (POC) for AWS storage.
Once you know how and what to transfer, you need to figure out how and where you will store it. The whole motivation for moving to AWS is to minimize costs. In this step, you will test your workload and learn about the AWS Storage Service, its benefits, limitations, and required security controls.
⇒Phase 4. Migrating on-premise applications to AWS.
Now that you have all the prerequisites you need, such as a plan, migration tools, destination list, backups, and syncing with your local data repositories. Finally, you can move your project to the AWS cloud. Once your project is migrated to the cloud, reliability, and longevity are added value to you.
⇒Phase 5. Corporate cloud operations.
You have already migrated on-premise to AWS at this stage, and AWS will provide the updates that you need to incorporate into your existing architecture. Therefore, you should make sure you have a 24/7 support team that tracks system maintenance and updates after migration.
The experience and outcome of migrating the on-premise applications to AWS are unique to every organization, but there is a commonality approach.
The move to the cloud has brought several benefits at once. AWS Cloud provides scalability, resiliency, flexibility, and reliability for the enterprise. It can be tricky, but you need to choose the right team to make a move.
To take advantage of the AWS Cloud, enterprises should adopt a phased migration strategy and try to take advantage of the cloud as early as possible. Whether it’s a typical 3-tier web application, an overnight batch process, or a complex internal processing workflow, most applications can be migrated to the cloud. After you move your first application to the cloud, you will get new ideas and see the value of moving more cloud applications.