A Guide to Migrate GCP Cloud Storage to Amazon S3

Introduction:

Understand the need to migrate from GCP Cloud Storage to Amazon S3. In this detailed migration process, we seamlessly leverage DataSync to transfer data from Google Cloud Storage to AWS. DataSync ensures a smooth transition, facilitating efficient and secure data movement between the two cloud environments, streamlining the migration journey, and minimizing potential disruptions for organizations embracing the power of AWS infrastructure. In this blog, we will explore the step-by-step process of migrating your data from Google Cloud Storage to Amazon S3.

Benefits of Data Sync:

1. Enhanced Scalability:

Synchronizing data between GCP Cloud Storage and Amazon S3 introduces a heightened level of scalability. Amazon S3’s architecture allows organizations to scale their storage needs seamlessly, accommodating growing data volumes effortlessly.

2. Improved Accessibility:

The synchronization process facilitates improved accessibility to data stored across both GCP Cloud Storage and Amazon S3. This enhanced accessibility ensures that crucial information is readily available when needed, fostering a more agile and responsive data management environment.

3. Cost-Effectiveness:

Implementing data sync between GCP and AWS platforms can contribute to cost-effectiveness. By strategically managing data across the two cloud environments, organizations can optimize storage costs based on usage patterns and leverage the pricing models offered by each platform. This approach enables more efficient resource allocation and expenditure.

4. Data Redundancy and Resilience:

Synchronization provides an additional layer of data redundancy and resilience. By having data mirrored across both GCP and AWS, organizations enhance data durability and reduce the risk of data loss. This redundancy is valuable in mitigating potential disruptions and ensuring data availability in unforeseen circumstances.

Steps to Set Up:

Step 1: Create HMAC credentials in GCP cloud storage to authenticate with the AWS DataSync agent.

• Go to the settings in cloud storage.
• Then go to the interoperability section.
• Create a key for the service account and keep that key secret.

Step 2: Create a cloud storage bucket in Google Cloud bucket.

Step 3: We must update the permission in the source cloud bucket in the permission tab. Add the principal to that bucket and condition it.

Add condition builder in the bucket condition.

Step 4: Setting Up Amazon S3 Bucket: Create an Amazon S3 bucket on AWS to accommodate the migrated data.

Step 5: Now we have to launch an instance for launching the data sync server.

Step 6: Connect to that instance and configure it. After that, run this command (In place of the region, mention your region, and that will give an ami-id)

Step 7: After that, run this command in the same browser to launch the instance for data sync (Add the ami-id which we got in the previous step)

Step 8: Now we have to launch an instance for the data sync server.

Step 9: Now copy this data-sync-server IP and paste it into the data sync agent to get the key.

After the key activation, create the agent.

Step 10: Create the location from where we have to transfer the data.

Source location: GCP Cloud Bucket

• Server – storage.googleapis.com
• Use the HMAC key in the access key and the secret key

Destination location: Amazon S3

Step 11: Now create the task and run it.

We can see the task details in the task history.

Now, we can see that data is migrated from the GCP cloud bucket to Amazon S3.

Conclusion:

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