John Formento

The challenge most companies face is knowing where they stand with resilience, being willing to validate their assumptions safely, and disciplined enough to continuously improve without slowing delivery.

Explore how AWS innovations are revolutionizing disaster recovery (DR) strategies for enterprise-scale organizations. Managing thousands of applications across AWS Regions demands sophisticated DR capabilities that have historically required complex and resource-intensive custom development.

In this session, learn about a resilience analysis framework and how you can apply it to have a consistent and repeatable process for analyzing your workloads. Learn how to discover failure modes and how they could impact your workloads.

With AWS, builders can create highly resilient workloads in the cloud. In this chalk talk, learn about how to reason about single-Region and multi-Region architectures.

In this session, dive deep on the topic of multi-Region design and explore different ways to implement such architectures. Consider how to think about multi-Region architectures and what is included from a cost, operations, and engineering perspective.

In this chalk talk, learn how to make networking architecture choices to support applications that are highly resistant to disruption and able to continue to operate in a degraded mode. Learn about the technical details and configurations for resilient AWS networking connectivity.

Vanguard is using machine learning (ML) on AWS to solve one of the most pressing challenges in financial advice: personalization. In this session, learn how Vanguard’s ML engine uses AWS services such as Amazon SageMaker to optimize rule-of-thumb recommendations with more sophisticated financial advice to maximize retirement wealth and spending for investors.

The Retail & Wholesale business unit at Vanguard is actively building out microservices on Amazon ECS and AWS Fargate. As more workloads moved to AWS, the team realized that their legacy monitoring solutions were becoming more costly to run and didn’t provide the real-time insight they required.