The AWS Shared Responsibility Model for resilience is a critical concept defining the distribution of responsibilities between AWS and customers. In this session, we explore the intricacies of 'in' the cloud versus 'of' the cloud and introduce the AWS Resilience Lifecycle Framework, which emphasizes the role of collaboration, planning, and continuous resilience in building and maintaining resilient architectures on AWS.

Strategies for building resilient applications that align with business impact, criticality of workloads, objectives, and goals are essential. This session discusses the importance of aligning business needs with application resilience requirements. We discuss the importance of specifying resilience requirements based on recovery and service level objectives tailored to the criticality of individual user journeys supported by the application

In this hands-on exercise, you will learn about AWS Resilience Hub, a service that enables you to analyze, manage, and improve your application's resilience posture. You will review the sample architecture, assess the application against your resilience requirements and review the recommendations report.

Designing and implementing a resilient application can be complex. In this session, we will explore how to leverage resilience design principles, understand tradeoffs, and effectively implement architecture and engineering best practices. We will also cover fault isolation, static stability, graceful degradation, bimodal behavior, and other patterns that can help prevent and mitigate failure.

In this hands-on exercise, you will review and implement AWS Resilience Hub recommendations to increase availability for your application.

In this hands-on exercise, you will review and implement AWS Resilience Hub recommendations for a multi-Region disaster recovery strategy.

Chaos Engineering and testing are indispensable practices in building resilient applications, particularly in the face of unpredictable conditions. In this session, you'll learn about using chaos engineering to identify system weaknesses, vulnerabilities, and failure modes. You will gain knowledge on how subjecting applications to various failure scenarios can help you uncover potential weaknesses before they reach production, and why testing methodologies are pivotal in validating application functionality and performance.

In this hands-on exercise, you will run fault injection experiments using AWS Fault Injection Service in order to test your applications against different failure modes.

Observability, automation and CI/CD practices contribute to operating resilient systems. In this session, gain valuable insights into effectively monitoring system health, automating processes, and streamlining deployment pipelines to ensure a resilient infrastructure and mitigate change impact.

Learning from incidents and cultivating a culture of resilience is vital to ensuring your organization's resilience. In this session, we will discuss the significance of conducting root cause analysis and sharing lessons learned across your organization to help prevent similar incidents from happening in the future. Doing so can foster a learning culture and promote a proactive approach to resilience.

In this final hands-on exercise, you will reassess your application in AWS Resilience Hub after implementing observability and learn how to continuously assess against benchmarks.