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

AWS Disaster Recovery

To help answer these questions, we’ll discuss the five resilience patterns in Figure 1 and the trade-offs to consider when implementing them: 1) design complexity, 2) cost to implement, 3) operational effort, 4) effort to secure, and 5) environmental impact. Effort to secureSecurity complexity is less directly correlated to resilience.

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Pure Storage Veeam Plugin

Pure Storage

Customers are able to leverage copies of a production workload for testing and development, analytics, and security to drive business change. The cloning of existing VMs requires no additional storage and only consumes capacity as new, unique data is written to the cloned data set.

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Journey to Adopt Cloud-Native Architecture Series: #3 – Improved Resilience and Standardized Observability

AWS Disaster Recovery

To meet these goals, we developed a long-term business continuity plan per the Disaster Recovery of Workloads on AWS: Recovery in the Cloud whitepaper that consisted of the following: We accepted data loss for the data that’s not persistent in the database. Our analysis also uncovered a gap in security monitoring. Conclusion.

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Meet Pure’s “E-Team”: Delivering Agility and Efficiency

Pure Storage

Gain the economics of public cloud along with the security and resilience of on premises. Subscribe to the capacity, performance, and service level you need—when you need it, and where you need it. Read the Report: As-a-service IT: Maximizing Your Return, Wherever You Are on Your Modernization Journey | ESG Whitepaper.