Virtualization Review Tech Library

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  • 10 considerations for Kubernetes deployments

    Container development promises unprecedented portability and scalability in the cloud using tools like Kubernetes. In addition, DevOps development and cultural practices increase business value and responsiveness. However, there are many questions to consider before starting your first container development project: What operating system should we use? Should we build or buy a production-ready Kubernetes platform? How will this new direction affect the organization?

  • Moving legacy applications to containers

    Legacy applications are not typically considered for public cloud deployments because of security, regulatory, data locality, or performance concerns. Containers make many of the services offered by public cloud providers possible and help increase automation. Migrating legacy applications to containers removes barriers to modernization. Red Hat® OpenShift® helps organizations complete this migration, letting them respond better to changing business demands. Read this overview to learn more.

  • Red Hat Advanced Cluster Management for Kubernetes

    Red Hat® Advanced Cluster Management for Kubernetes offers end-to-end management visibility and control to manage your cluster and application life cycle, along with security and compliance of your entire Kubernetes domain across multiple datacenters and public clouds. Check out this datasheet to learn more.

  • Creating a Data Protection Architecture

    Read this informative analyst paper to learn more about tips to creating a data protection architecture that addresses the key elements of these regulations.

  • Forrester Report: Four Technologies Combine to Protect You From Ransomware Attacks

    This paper explores the technologies and proactive strategies that Infrastructure & Operations professionals must employ to improve their confidence and recoverability in the face of a ransomware attack including: write once, read many (WORM) storage, data resiliency solutions, immutable file systems, and multi-factor authentication.

  • Eight Storage Requirements for AI and Deep Learning

    Data is the life-blood of artificial intelligence and deep learning (AI and DL). Vast quantities of training data enhance accuracy in the search for potentially predictive relationships. This paper delivers eight specific storage requirements of AI and DL applications and why they demand the data management capabilities supplied by enterprise object storage solutions.

  • Buyer’s Guide to Object Storage

    This comprehensive eBook details what you should consider when evaluating new storage solutions, especially cutting edge solutions like hyperscale object storage which provides ultimate flexibility and scalability while helping you reap the maximum ROI from your storage investment.

  • TCO Report: Cloud Storage vs. On Premises Storage

    In this paper, we compare the economics of on-premises object storage with public cloud for enterprise storage.

  • 3 Compelling Reasons for Infrastructure Consolidation

    Technology is critical to help accelerate your organizations revenue. When it comes to the cloud, the challenge gets even harder. Learn three compelling reasons Hyperconvergence solves the pains of complexity, cost, and risk.

  • Consolidate Traditional and Modern Applications on VMware vSAN

    Legacy infrastructure, disparate management silos, and inefficient resource utilization are leading IT organizations to turn to technologies that enable IT to support diverse and demanding applications, consolidate their infrastructures, stay within budget and ultimately future-proof these investments for the path to a hybrid cloud. More than ever, they’re leveraging hyperconverged infrastructure (HCI) to do this.

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