Application Architecture Evaluation Failover 
AWS Disaster Recovery
JULY 27, 2021
In this blog post, we share a reference architecture that uses a multi-Region active/passive strategy to implement a hot standby strategy for disaster recovery (DR). DR implementation architecture on multi-Region active/passive workloads. Fail over with event-driven serverless architecture. This keeps RTO and RPO low.
AWS Disaster Recovery
APRIL 6, 2021
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. Considerations on architecture and patterns.
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AWS Disaster Recovery
JANUARY 25, 2022
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.
Solutions Review
DECEMBER 26, 2023
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.
Zerto
DECEMBER 21, 2021
In short, the sheer scale of the cloud infrastructure itself offers layers of architectural redundancy and resilience. . We get reminded repeatedly with each cloud outage that there is no such thing as a bullet-proof platform, and no matter where your applications and data reside, you still need a disaster recovery plan.
Pure Storage
FEBRUARY 15, 2023
IT professionals often use IOPS to evaluate the performance of storage systems such as all-flash arrays. Equally important is to look at throughput (units of data per second)—how data is actually delivered to the arrays in support of real-world application performance. However, looking at IOPS is only half the equation.
Erwood Group
FEBRUARY 4, 2024
Application: Predictive analytics enables organizations to rapidly assess risks and proactively implement measures to mitigate the impact of potential disruptions. Application: In the event of a cybersecurity breach, AI automates the identification, containment, and eradication of threats, reducing response time.
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