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Migration Assessment Playbook and Patterns from On-Premise, Azure and GCP to AWS

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Migrations are an inevitable part of any organization’s technological journey. With the continuous evolution of technology, organizations must upgrade their systems and processes to keep up with the competition. However, the migration process is complex and requires careful planning and execution. Organizations must have an effective migration assessment playbook to ensure the successful completion of the migration.

Are you planning to migrate your existing applications from on-premise, Azure, or GCP to AWS? If so, then this blog post is for you! We’ll discuss the migration assessment playbook and patterns that will guide you through the entire process. We’ll also provide tips and tricks for a successful transition. So get ready to learn everything you need to know about easy migrating your apps!

Migration Assessment Playbooks

A migration assessment playbook is a systematic approach used to assess the viability and complexity of a migration project. It is a collection of templates and tools to evaluate the project’s feasibility and the resources required for its successful completion. This playbook outlines the steps and processes that must be followed to ensure the migration is completed successfully. A migration assessment playbook is essential for organizations that are planning to migrate their existing systems to cloud-based solutions. This playbook helps identify the impact of the migration on the existing infrastructure and processes. It also helps assess the risks associated with the migration and provides guidance on the strategies and tools required to ensure a successful migration.

Migrating workloads from on-premises, Azure, and GCP to AWS can be daunting. But with the right assessment playbook and patterns, it can be done quickly and efficiently. In this blog, we’ll look at what cloud migration assessment is and how it can help you successfully migrate your workloads. We’ll also discuss the different tools and services you can use to assess your migration potential and simulate the cost of the transition. By the end of this blog, you’ll have a better understanding of how to move your workloads to AWS in an effective and cost-efficient manner.

A typical migration process on AWS looks as below:

Image Credits: AWS

The migration assessment playbook is a set of guidelines and best practices for migrating to AWS. It includes the following steps:

  • Identify the workloads to be migrated: The first step in the migration assessment playbook is to identify the workloads that need to be migrated to AWS. This includes applications, databases, and other services that are currently running on-premise, Azure, or GCP.
  • Evaluate the current infrastructure: The next step is to evaluate the current infrastructure to identify any dependencies or constraints that may impact the migration. This includes identifying the hardware and software used, as well as any third-party applications or services that are currently in use.
  • Define the target architecture: Once the current infrastructure has been evaluated, the target architecture for AWS can be defined. This includes selecting the appropriate AWS services and features to support the workloads being migrated.
  • Create a migration plan: The migration plan outlines the steps that will be taken to migrate the workloads to AWS. This includes identifying the migration order, setting up the necessary infrastructure in AWS, and conducting any necessary testing.
  • Execute the migration: Once the migration plan has been created, the migration can be executed. This involves moving the workloads to AWS and verifying that they function correctly.
  • Optimise and refine: After the migration is complete, optimizing and refining the new infrastructure is important. This includes monitoring the performance of the workloads and making any necessary adjustments to ensure they are running efficiently.

Patterns for Migration

Several migration patterns can be used to migrate workloads from on-premises, Azure, and GCP to AWS. These patterns include:

  • Rehosting: Rehosting involves moving an application or workload to AWS without making any significant changes. This is often referred to as “lift and shift.” Rehosting is a quick and easy way to migrate workloads to AWS, but it may not take full advantage of AWS services and features.
  • Replatforming: Replatforming involves making changes to an application or workload to take advantage of AWS services and features. This includes making changes to the application code or database schema to optimize for AWS.
  • Repurchasing: Repurchasing involves replacing an existing application or workload with a new one that is specifically designed for AWS. This may involve selecting a new third-party application or developing a new application from scratch.
  • Refactoring: Refactoring involves making significant changes to an application or workload to optimise it for AWS. This includes rewriting the application code or redesigning the database schema to take full advantage of AWS services and features.
  • Retiring: Retiring involves decommissioning an application or workload that is no longer needed. This can be done as part of a broader effort to consolidate and simplify the IT infrastructure.

Migration from On-Premise to AWS

Migrating from an on-premises environment to AWS can be challenging, but the potential benefits make it worthwhile. To ensure a successful migration, assessing your environment and planning is important. This includes understanding the size and complexity of your existing infrastructure, assessing cloud readiness, and understanding the costs associated with the migration. Furthermore, you will need to consider if existing applications need to be re-architected for cloud deployment. To help with this process, many providers offer services and tools that can help with the migration assessment and planning stages. As part of this process, you should also consider simulating the cost of migration so that you can accurately estimate your budget. By following these steps, you can ensure a smooth transition from on-premises to AWS.

Migration from Azure to AWS

Migrating from Azure to AWS is a common need for many customers. To make the process smoother, Azure offers Azure Migrate, a centralized hub that helps with the discovery, assessment, and migration of on-premises machines to Azure. Additionally, AWS provides various tools and services such as AWS Migration Hub, to help make the transition from Azure to AWS simple and efficient. Tools like CloudEndure enable live migration of virtual machines from both GCP and Azure to AWS with minimal downtime. Finally, users can simulate the cost of migration using services such as AWS Cost Explorer or Azure Cost Estimator to get an idea of the costs associated with the move.

Migration from GCP to AWS

Migrating from Google Cloud Platform (GCP) to Amazon Web Services (AWS) is a multi-step process that requires careful planning and execution. Before beginning the process, organizations should assess their existing GCP environment for any potential issues that may arise during the migration. The Google Cloud Platform offers a quick and easy virtual machine migration tool that can be used to assess GCP VMs for migration to AWS. Additionally, organizations may use CloudEndure’s cloud migration services to undertake a successful migration from GCP to AWS. Once the assessment is complete, organizations can simulate the migration cost and migrate data and applications to AWS.

Tools and Services for Migration

Migrating workloads from on-premise, Azure and GCP to AWS requires careful planning and execution. Choosing the right tools and services is essential for a successful migration. For assessment and data migration software, Azure Database Migration Service is used to move on-premises SQL Server and Oracle databases to the cloud. CloudEndure Migration can be used to migrate VMs from on-premises data centres or other cloud providers to AWS no matter the source environment. Google Cloud’s Professional Table Migration Tool – BigQuery Snowflake Table Migration Tool helps to migrate the data set without a whole bunch of sub-tables. Oracle Cloud’s unique migration, provisioning, and management tools and Cloud Cutover Manager help modernise on-premise applications. AWS provides cutting-edge migration tools such as Migration Evaluator, AWS Migration Hub, AWS Application Discovery Services, AWS Landing Zone, and AWS Control Tower for users to leverage. AI/ML can be used to migrate customers to digital payments when migrating workloads from On-Premise to GCP, or from AWS/Azure to GCP (Hyperscaler to another Hyperscaler).

Conclusion

Migrating to AWS can be a complex and challenging process, but with the right planning and execution, it can be a smooth and successful transition. The migration assessment playbook provides guidelines and best practices for migrating to AWS, while the migration patterns provide different options for migrating workloads to AWS. Organizations can confidently move their workloads to AWS by following these guidelines and patterns.

Contact us today to learn more about our migration assessment playbook solutions and how they can help your organisation migrate to the cloud with confidence.

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