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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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Disaster Recovery Implementation: Four Key Steps to Success

Solutions Review

The disaster recovery planner should recognize the distinction between failures and disasters as they evaluate the different solutions needed for high availability (HA) and DR. A key distinction involves the location of redundant resources and whether you want to failover operation to them or simply make a copy (replication) of them.

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Minimizing Dependencies in a Disaster Recovery Plan

AWS Disaster Recovery

What if the very tools that we rely on for failover are themselves impacted by a DR event? In this post, you’ll learn how to reduce dependencies in your DR plan and manually control failover even if critical AWS services are disrupted. Failover plan dependencies and considerations. Let’s dig into the DR scenario in more detail.

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The 15 Best Business Continuity Software and Tools for 2024

Solutions Review

The platform offers incident management capabilities, which gives users the ability to quickly evaluate the criticality of an incident, determine the appropriate response procedures, and assign response team members based on factors such as business impact and regulatory requirements.

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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. Executive builders should center their resilience strategies around availability, performance, and disaster recovery (DR). Availability and disaster recovery.

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45 World Backup Day Quotes from 32 Experts for 2023

Solutions Review

As generative AI applications like chatbots become more pervasive, companies will train them on their troves of internal data, unlocking even more value from previously untapped information. The result is that large sections of corporate datasets are now created by SaaS applications.

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