Generate rich virtual data that covers the full range of possible scenarios and provide the unconstrained access to environments needed to deliver rigorously tested applications on time and within budget. Model complex live system data and apply automated rule-learning algorithms to pay off technical debt and uncover in depth understanding of composite applications, while exposing virtual data to distributed teams on demand and avoiding testing bottlenecks.
Published By: HPE Intel
Published Date: Mar 09, 2016
State agency and higher education CIOs are under intense pressure to modernize their legacy IT systems. Whether that requires moving from one infrastructure to another, or moving to or from the cloud, the chief challenge remains: How to migrate data and applications without disrupting critical operations, ensure improved performance and avoid pricing and other traps that often accompany virtualizing in the cloud.
Learn what’s made the difference in overcoming the impediments to workload migrations from IT leaders who’ve lived through big data and application moves. Topics include:
Preparing workloads for cloud on-boarding – and off-boarding
Tools for simplifying the consolidation and migration of apps and supporting services
Forecasting workloads, and planning for associated testing, training, and other costs
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