Chaos Engineering is the discipline of experimenting on a software system in production to build confidence in the system's capability to withstand turbulent and unexpected conditions. Here's how it applies to Richard Branson's scenario:
Intentional Disruption: Chaos Engineering involves deliberately introducing problems into the system to test its resilience.
Observation: Observing how the system responds to these disruptions helps identify weaknesses and areas for improvement.
Vulnerability Detection: By causing controlled chaos, the engineering team can detect vulnerabilities that might not be apparent during standard testing procedures.
Resilience Building: The ultimate goal is to improve the system's resilience by fixing the vulnerabilities and ensuring it can handle unexpected issues.
Continuous Improvement: It is an ongoing process that helps teams prepare for the worst-case scenarios and improve the overall stability and reliability of the system.
Reference:
Principles of Chaos Engineering, which outline the practices and benefits of this approach.
Case studies demonstrating how Chaos Engineering has helped organizations improve their systems' resilience.

To disable user account passwords on an Amazon EC2 Linux instance, Simon should use the command passwd -L <USERNAME>. Here's the detailed explanation:
passwd Command: The passwd command is used to update a user's authentication tokens (passwords).
-L Option: The -L option is used to lock the password of the specified user account, effectively disabling the password without deleting the user account itself.
Security Measure: Disabling passwords ensures that the user cannot authenticate using a password, thereby enhancing the security of the instance.
Reference:
AWS Documentation: Securing Access to Amazon EC2 Instances
Linux man-pages: passwd(1)

AWS CloudFormation: AWS CloudFormation is a service that helps you model and set up your Amazon Web Services resources so that you can spend less time managing those resources and more time focusing on your applications that run in AWS1.
Resource Management: You create a template that describes all the AWS resources that you want (like Amazon EC2 instances or Amazon RDS DB instances), and AWS CloudFormation takes care of provisioning and configuring those resources for you1.
Complex Applications: For complex applications with multiple resources, CloudFormation allows you to manage related resources as a single unit, called a stack1.
Automation: CloudFormation automates the provisioning and updating of your infrastructure in a safe and controlled manner, with rollbacks and staged updates1.
Benefits: By using AWS CloudFormation, Steven can define his infrastructure in code and use this to create and manage his AWS resources, which simplifies the management of complex applications1.
Reference:
AWS's official documentation on AWS CloudFormation1.

* Amazon GuardDuty: It is a threat detection service that continuously monitors for malicious activity and unauthorized behavior across your AWS accounts and workloads1.
* Anomaly Detection: GuardDuty uses anomaly detection to monitor for unusual behavior that may indicate a threat1.
* Machine Learning: It employs machine learning to better identify threat patterns and reduce false positives1.
* Integrated Threat Intelligence: The service utilizes threat intelligence feeds from AWS and leading third parties to identify known threats1.
* Actionable Insights: GuardDuty provides detailed findings that include information about the nature of
* the threat, the affected resources, the attacker's IP address, and geolocation1.
* Protection Scope: It protects against a wide range of threats, including compromised instances, reconnaissance by attackers, account compromise risks, and instance compromise risks1.
References:
* AWS's official documentation on Amazon GuardDuty1.