RE-PLATFORMING DATA WAREHOUSES – WITHOUT COSTLY MIGRATION OF APPLICATIONS

whitePaper | September 13, 2022

Software-defined WAN (SD-WAN) is an application-aware service that intelligently routes traffic in real time based on established business policies, along with network quality and availability. SD-WAN is used to connect multiple locations in a network to each other, to a data center, to applications and data in the cloud, or to SaaS platforms. Leveraging multiple, cost-effective access types at each location in an active-active configuration, an SD-WAN network routes application traffic over the best-performing network elements in real time and ensures automated failover for resiliency.

whitePaper | December 11, 2022

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whitePaper | February 25, 2020

To understand the current data center landscape and what’s changing-and to pinpoint the challenges and solutions available to IT leaders as they rethink their data centers-Forbes Insights surveyed 150 senior IT executives and data center managers for their perspectives on the future of the data center. Read this report to learn more.

whitePaper | September 29, 2022

In the post-pandemic world, we spread data everywhere. As remote and hybrid workforce models become the norm, multi-cloud deployments evolve into the de facto computing standard for distributed workloads. This expands the attack surface well beyond the walls of a traditional data center and overextends already understaffed security teams. As a result, organizations struggle to combat the growing number of insider and outsider threats targeting their invaluable digital assets.

whitePaper | December 12, 2022

Ethernet is ubiquitous—it is the core technology that defines the Internet and serves to connect the world in ways that people could not imagine even one generation ago. HPC clusters are working on solving the most challenging problems facing humanity—and cloud computing is the service hosting many of the application workloads struggling with these questions.

whitePaper | October 3, 2022

Cloud environments change fundamental assumptions in how to perform threat detection and response. The highly dynamic inventory of cloud workloads means systems come and go in seconds. When system configuration errors are introduced during a build, they can be exacerbated and amplified when automation replicates the errors across many workloads. Shared responsibility with the cloud service provider (CSP) creates potential threat detection gaps in the attack lifecycle.