Source URL: https://cloud.google.com/blog/products/infrastructure-modernization/aws-to-google-cloud-migration-guides/
Source: Cloud Blog
Title: Cloud migrations made easy: a guide to migrating from AWS to Google Cloud
Feedly Summary: More and more customers deploy their workloads on Google Cloud. But what if your workloads are sitting in another cloud? Planning, designing, and implementing a migration of your workloads, data, and processes is not an easy task. It gets even harder if you have to meet requirements that have an impact on the migration, such as avoiding downtime (also known as a zero-downtime migration). Moreover, some migrations require a certain amount of refactoring, for example, adapting your workloads to a new environment. This opens up a series of challenges, especially if you’re dealing with third-party or legacy software. You might also need to adapt your deployment and operational processes to work with your new environment.
And what if you don’t want to migrate all your workloads? Even if you’re not moving everything to Google Cloud, adopting a multicloud approach is still a migration. Many organizations choose to keep some workloads in their current cloud provider while moving others to Google Cloud.
Although managing workloads across multiple clouds has its own challenges, particularly when it comes to workload distribution and inter-cloud connectivity, a well-executed multicloud strategy lets you maintain flexibility, avoid vendor lock-in, and improve system resilience.
aside_block
To help you in your migration journey, we published a series of reference guides about migrating from Amazon Web Services (AWS) to Google Cloud. This series aims to help you design, plan, and implement a migration process from AWS to Google Cloud. It can also help decision makers who are evaluating migration opportunities and want to explore what it looks like to migrate. For example, the series includes guides that cover migration journeys, such as:
From AWS compute services to Google Cloud
Migrate from Amazon EC2 to Compute Engine
Migrate VMware VMs to your Google Cloud VMware Engine private cloud
Migrate from Amazon Elastic Kubernetes Service (Amazon EKS) to Google Kubernetes Engine
Migrate from AWS Lambda to Cloud Run
From AWS data storage services to Google Cloud
Migrate from Amazon S3 to Cloud Storage
From AWS database services to Google Cloud
Migrate from Amazon RDS and Amazon Aurora for MySQL to Cloud SQL for MySQL
Migrate from Amazon RDS and Amazon Aurora for PostgreSQL to Cloud SQL for PostgreSQL and AlloyDB for PostgreSQL
Migrate from Amazon RDS for SQL Server to Cloud SQL for SQL Server
From AWS data analytics services to Google Cloud
Migrate from Amazon RedShift to BigQuery
From AWS integration services to Google Cloud
Migrate from AWS Step Functions to Workflows
These guides follow the phases of the Google Cloud migration framework (assess, plan, migrate, optimize) in the context of specific AWS to Google Cloud migration use cases.
This approach helps to avoid big-bang, risky migrations, when working on each migration plan task. For details about completing each task of this migration plan, see the AWS to Google Cloud migration guides.
What’s next
Learn how to get started with your migration from AWS to Google Cloud today!
In case you need any help, Google Cloud offers several resources to help you migrate your workloads, data, and processes at scale.
Need a more visual guide? Download our new migration guide & checklist.
Ready to get started?
Ready to learn more? Learn more about migrating to Google Cloud and discover how Google Cloud Consulting can help you learn, build, operate and succeed.
Acknowledgements: Alex Cârciu, Cloud Solutions Architect, Xiang Shen, Cloud Solutions Architect
AI Summary and Description: Yes
Summary: The text discusses the complexities and strategic considerations involved in migrating workloads from Amazon Web Services (AWS) to Google Cloud. It highlights the importance of planning, avoiding downtime, and adopting a multicloud strategy, while providing helpful guides and resources for organizations.
Detailed Description: The provided content focuses on the migration of workloads from AWS to Google Cloud, emphasizing the challenges, planning requirements, and resources available for organizations undertaking this process. Key points include:
* **Workload Migration Complexity**:
– Migrating workloads involves careful planning and implementation, particularly when considering zero-downtime requirements.
– Refactoring may be necessary to adapt workloads to a new environment, posing additional challenges.
* **Multicloud Considerations**:
– Many organizations adopt a multicloud approach, retaining some workloads in their current cloud provider while migrating others to Google Cloud.
– Managing workloads across multiple clouds can present challenges but allows for increased flexibility and resilience.
* **Resource Guides**:
– Google Cloud has published a series of reference guides designed to support organizations in migrating from AWS to Google Cloud.
– The guides cover specific migration paths, such as:
– Compute services (e.g., Amazon EC2 to Compute Engine)
– Data storage (e.g., Amazon S3 to Cloud Storage)
– Database services (e.g., Amazon RDS to Cloud SQL)
– Data analytics (e.g., Amazon RedShift to BigQuery)
– Integration services (e.g., AWS Step Functions to Workflows)
– These guides align with the Google Cloud migration framework, aiding in assessing, planning, migrating, and optimizing.
* **Avoiding Risks**:
– The content stresses the importance of avoiding risky, large-scale migrations by following detailed migration plans.
– It encourages users to leverage the AWS to Google Cloud migration guides for comprehensive planning and execution.
* **Additional Resources**:
– Google Cloud provides various resources to assist in the migration process, including visual aids and consulting services.
– Call to action for organizations to start their migration journey with available guides and support.
Overall, this text serves as a robust resource for organizations considering migrating their cloud workloads, providing insights into strategic planning and execution while ensuring security and compliance are prioritized throughout the process.