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Implementing Multi-Region Disaster Recovery Using Event-Driven Architecture

AWS Disaster Recovery

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). With the multi-Region active/passive strategy, your workloads operate in primary and secondary Regions with full capacity. This keeps RTO and RPO low.

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

AWS Disaster Recovery

In Part II, we’ll provide technical considerations related to architecture and patterns for resilience in AWS Cloud. Considerations on architecture and patterns. Resilience is an overarching concern that is highly tied to other architecture attributes. Let’s evaluate architectural patterns that enable this capability.

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Beyond the Hype: The Truth behind the Marketing Claims of Many New Data Storage Platforms

Pure Storage

In addition, it can deliver upgrades that are 100% non-disruptively compliments of our Evergreen architecture to support future scale and upgrades. In this first installment of our “Beyond the Hype” blog series, we’ll discuss what customers may want to consider when evaluating storage solutions in the market.

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Understand resiliency patterns and trade-offs to architect efficiently in the cloud

AWS Disaster Recovery

Firms designing for resilience on cloud often need to evaluate multiple factors before they can decide the most optimal architecture for their workloads. This will help you achieve varying levels of resiliency and make decisions about the most appropriate architecture for your needs. Resilience patterns and trade-offs.

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The SSD Trap: How a Storage Solution’s Reliance on SSDs Can Impact You (Part 1 of 2)

Pure Storage

As more enterprises prioritize sustainability as a key criteria for new AFA purchases, metrics like energy efficiency (TB/watt) and storage density (TB/U) become critical in evaluating the cost of new systems. are needed to build a system to meet any given performance and capacity requirements. Next, let’s look at DRAM. form factor.

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Why Does Storage Matter?

Pure Storage

Cleaning, where the raw data is sorted, evaluated, and prepared for transfer and storage. . Finally, a portion of the data is held back to evaluate model accuracy. As seen above, each stage in the AI data pipeline has varying requirements from the underlying storage architecture.

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A Leader Again in the Gartner Magic Quadrant for File and Object Storage Platforms

Pure Storage

The result is a single architecture, operating system, and control plane. This, along with usable capacity efficiency improvements across FlashBlade ® models from 68% to more than 82%, has significantly improved cost-per-terabyte economics. Written By: Ajay Singh A Leader Again Read the full evaluation by Gartner.

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