Q1: What security measures are mentioned in the Amazon Elastic Inference Developer Guide?
A1: The guide mentions security measures such as Identity and Access Management (IAM), authenticating with identities, managing access using policies, logging and monitoring, compliance validation, infrastructure security, and configuration and vulnerability analysis.
Q2: How can I configure my security groups for Elastic Inference?
A2: The guide provides instructions on configuring your security groups for Elastic Inference. It is recommended to review the "Configuring Your Security Groups for Elastic Inference" section for step-by-step instructions.
Q3: Is there any information about using CloudWatch Metrics to monitor Elastic Inference?
A3: Yes, the guide includes information on using CloudWatch Metrics to monitor Elastic Inference. It provides details on Elastic Inference metrics and dimensions, as well as creating CloudWatch alarms to monitor Elastic Inference.
Q4: What security considerations should be taken into account when using Amazon Elastic Inference?
A4: The guide mentions considerations such as infrastructure security, configuration and vulnerability analysis, logging and monitoring, compliance validation, and resilience. It is recommended to review the relevant sections in the guide for detailed information.
Q5: Are there any specific security features related to Amazon Elastic Inference in the document?
A5: Yes, the guide discusses various security features related to Amazon Elastic Inference, including Identity and Access Management (IAM), authenticating with identities, managing access using policies, logging and monitoring, compliance validation, and infrastructure security. It also provides information on configuring security groups and using CloudWatch Metrics for monitoring.