What is the MOST operationally efficient solution that meets these requirements?
Create an Amazon CloudWatch alarm for the StatusCheckFailed_System metric to invoke an AWS Lambda function that stops and starts the EC2 instance.
Create an Amazon RDS for MySQL Multi-AZ DB instance. Use a MySQL native backup that is stored in Amazon S3 to restore the data to the new database. Update the connection string in the web application.
Create an Amazon RDS for MySQL Single-AZ DB instance with a read replica. Use a MySQL native backup that is stored in Amazon S3 to restore the data to the new database. Update the connection string in the web application
Use Amazon Data Lifecycle Manager (Amazon DLM) to take a snapshot of the Amazon Elastic Block Store (Amazon EBS) volume every hour. In the event of an EC2 instance failure, restore the EBS volume from a snapshot.
Explanations:
While creating a CloudWatch alarm to stop and start the EC2 instance can help monitor and react to failures, it does not address data loss or recovery time effectively. There is no mechanism to automatically back up the data or minimize downtime beyond the manual recovery of the database.
Creating an Amazon RDS for MySQL Multi-AZ DB instance provides high availability and automatic failover, minimizing data loss and downtime. In addition, using MySQL native backups stored in Amazon S3 offers a way to restore data if necessary, ensuring operational efficiency and reduced recovery time.
An RDS for MySQL Single-AZ DB instance with a read replica does not provide the same level of high availability and automatic failover as a Multi-AZ setup. Additionally, read replicas are primarily for scaling reads, not for failover, which may lead to increased data loss and longer recovery times.
Using Amazon Data Lifecycle Manager to take EBS snapshots every hour can help in data recovery, but it does not provide high availability or automatic failover. The recovery process can be time-consuming, as it involves restoring the EBS volume from a snapshot, which may lead to extended downtime.