For collecting data from remote sensors without internet connectivity, using an AWS Snowcone device with an Amazon EC2 instance running an FTP server presents a practical solution. This setup allows the sensors to upload data to the EC2 instance via FTP, and after the experiment, the Snowcone device can be returned to AWS for data ingestion into Amazon S3. This approach minimizes operational complexity and ensures efficient data transfer to AWS for further processing or storage.
AWS Documentation on AWS Snowcone and Amazon EC2 provides detailed guidance on deploying compute and storage capabilities in edge locations. This solution leverages AWS's edge computing devices to address challenges associated with data collection in remote or disconnected environments.

* Migrate to Amazon Aurora:
* Amazon Aurora is a MySQL-compatible, high-performance database designed to provide higher throughput than standard MySQL. Migrating the database to Aurora will enhance the performance and scalability of the database, especially under heavy workloads.
* Add Aurora Replica:
* Aurora Replicas provide read scalability and improve availability. Adding an Aurora Replica allows read operations to be distributed, thereby reducing the load on the primary instance and improving response times during peak periods.
* Configure Amazon RDS Proxy:
* Amazon RDS Proxy acts as an intermediary between the application and the Aurora database, managing connection pools efficiently. RDS Proxy reduces the overhead of opening and closing database connections, thus maintaining fewer active connections to the database and handling surges in database connections from the Lambda functions more effectively.
* This configuration reduces the database's resource usage and improves its ability to handle high volumes of concurrent connections.
References
* AWS Database Blog on RDS Proxy (Amazon Web Services, Inc.).
* AWS Compute Blog on Using RDS Proxy with Lambda (Amazon Web Services, Inc.).

Enable AWS Security Hub:
Navigate to the AWS Security Hub console in your management account and enable Security Hub. This process integrates Security Hub with AWS Control Tower, allowing you to manage and monitor security findings across all accounts within your organization.
Designate a Delegated Administrator:
In AWS Organizations, designate one of the AWS accounts as the delegated administrator for Security Hub.
This account will have the responsibility to manage and oversee the security posture of all accounts within the organization.
Deploy Controls Across Accounts:
Use AWS Security Hub to automatically enable security controls across all AWS accounts in the organization. This provides a centralized view of the security state of all accounts and ensures continuous monitoring and compliance.
Utilize AWS Security Hub Features:
Leverage the capabilities of Security Hub to aggregate security alerts, run continuous security checks, and generate findings based on the AWS Foundational Security Best Practices. Security Hub integrates with other AWS services like AWS Config, Amazon GuardDuty, and AWS IAM Access Analyzer to enhance security monitoring and remediation.
By integrating AWS Security Hub with AWS Control Tower and using a delegated administrator account, you can achieve a centralized and comprehensive view of your organization's security posture, facilitating effective management and remediation of security issues.
References
AWS Security Hub now integrates with AWS Control Tower#77#
AWS Control Tower and Security Hub Integration#76#
AWS Security Hub Features#79#

https://docs.aws.amazon.com/vpc/latest/userguide/sharing-managed-prefix-lists.html

https://docs.aws.amazon.com/vm-import/latest/userguide/vmimport-image-import.html
- Export an OVF Template
- Create / use an Amazon S3 bucket for storing the exported images. The bucket must be in the Region where you want to import your VMs.
- Create an IAM role named vmimport.
- You'll use AWS CLI to run the import commands.
https://aws.amazon.com/premiumsupport/knowledge-center/import-instances/