Bruno Emer

Mission-critical workloads require extreme resilience without the latency penalty of multi-region architectures, especially when strong consistency and real-time external integrations are required.

When organizations choose a multicloud strategy to address their resilience needs, they often face challenges in areas such as data consistency, service isolation, and long term testing and maintenance.

By creating a resilience model, you can anticipate what can disrupt your systems, understand what controls are in place to detect and prevent disruption, and then develop an improvement plan to address any gaps.

AWS customers are using resilience modeling to anticipate disruptions and prevent incidents. In creating a resilience model, teams anticipate what can disrupt their system, understand what controls they have in place to detect and prevent that disruption, and then develop an improvement plan to address any gaps.

This session is a deep dive on reducing area of impact and improving resilience. Learn how AWS builds in isolation across services from an infrastructure perspective.

This session is a deep dive on reducing area of impact and improving resilience. Learn how AWS builds in isolation across services from an infrastructure perspective.