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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. Example Corp has multiple applications with varying criticality, and each of their applications have different needs in terms of resiliency, complexity, and cost. Trade-offs.

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Gartner Names Pure Storage a Leader in the 2021 Magic Quadrant for Distributed File Systems and Object Storage

Pure Storage

This is all enabled by our built-from-the-ground-up approach to delivering multi-dimensional performance and multi-protocol support with software and hardware designed around development principles for modern applications. Many of these applications require fast file and fast object storage—and the demand will continue to increase.

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Using Route 53 Private Hosted Zones for Cross-account Multi-region Architectures

AWS Disaster Recovery

Many AWS customers have internal business applications spread over multiple AWS accounts and on-premises to support different business units. Route 53 Private Hosted Zones (PHZs) and Resolver endpoints on AWS create an architecture best practice for centralized DNS in hybrid cloud environment. Architecture Overview.

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The Disaster Recovery Preparedness Gap for Containerized Applications

Solutions Review

In this submission, Veeam ‘s Dave Russell covers the disaster recovery preparedness gap for containerized applications. Disaster Recovery (DR) is protecting containerized applications or infrastructure in a specific geography to reduce business impact when faced with unforeseen failures.

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An AI Data Platform for All Seasons

Pure Storage

In the past, it was sufficient to bring order to the randomness of enterprise data collection through applications of technology resources (databases and storage devices) that were aimed primarily at organizing, storing, indexing, and managing enterprise information assets for single purposes or single business units.

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Generative AI, RAG, and Data Infrastructure

Pure Storage

By retrieving relevant information from a database of documents and using it as a context, RAG enhances the generation to produce more informed and accurate outputs. I/O requirement also depends on model architecture, hyperparameters such as batch size, and GPU speed. RAG example: searching corporate documents.

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Recovering Right: How to Improve at IT Disaster Recovery

MHA Consulting

IT/DR is the part of business continuity that deals with restoring computing systems, applications, and data following a disruption.) You can have a plan without having any documentation (just like a family can have an agreed-upon plan for escaping their house in the event of a fire without anything being written down).