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Minimizing Dependencies in a Disaster Recovery Plan

AWS Disaster Recovery

The Availability and Beyond whitepaper discusses the concept of static stability for improving resilience. What if the very tools that we rely on for failover are themselves impacted by a DR event? Failover plan dependencies and considerations. What are the dependencies that we’ve baked into this failover plan?

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IT Resilience Within AWS Cloud, Part II: Architecture and Patterns

AWS Disaster Recovery

In Part I of this two-part blog , we outlined best practices to consider when building resilient applications in hybrid on-premises/cloud environments. In Part II, we’ll provide technical considerations related to architecture and patterns for resilience in AWS Cloud. Let’s evaluate architectural patterns that enable this capability.

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Implementing Multi-Region Disaster Recovery Using Event-Driven Architecture

AWS Disaster Recovery

We highlight the benefits of performing DR failover using event-driven, serverless architecture, which provides high reliability, one of the pillars of AWS Well Architected Framework. This makes your infrastructure more resilient and highly available and allows business continuity with minimal impact on production workloads.

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The 15 Best Business Continuity Software and Tools for 2024

Solutions Review

The Best Business Continuity Software Archer Platform: Archer Business Resiliency Description: Archer Business Resiliency enables users to identify and catalog their organization’s mission-critical processes and systems, as well as develop detailed business continuity and disaster recovery plans to protect their business from disruption.

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45 World Backup Day Quotes from 32 Experts for 2023

Solutions Review

Organizations that implement a backup strategy with cyber resilience at the core can enable restores that are fast, predictable, reliable and cost-effective – at scale. It’s important to do full failover and recovery whenever possible so that you truly can understand the nuances you may face in a real situation.

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