Densify 通过其下一代分析服务重新构想了云时代的基础架构优化和控制。 Densify 提供操作简单性，同时科学地平衡基础设施供应和应用程序需求，以最大限度地提高效率和成本节约，同时实现更好的性能。
Densify 是一种预测分析服务，可实时优化云环境，使客户能够以更低的云成本、更少的基础设施和性能更好的应用程序进行运营。以下是我们如何帮助客户取得卓越成果的一系列故事。 Densify 提供云成本可见性和报告，除了建议购买哪些云资源最能满足您的应用程序需求。
Raiffeisen Bank Aval Chooses Densify for Cloud Resource Alignment
Raiffeisen faced an initiative to modernize its private cloud infrastructure, but the team encountered difficulties with validating hardware requirements against purchase recommendations made by the hardware vendor. As a result, an additional 33% in hardware costs were expected for this transformation project.The existing cloud environment had a VM-to-host ratio of 24:1, and it consisted of 38 VMware hosts and 923 virtual machines.
Daintree Networks (GE Current) (General Electric)
Daintree Networks is a trusted and leading provider of smart building control and operation solutions, the core application for the Enterprise Internet of Things. Daintree’s ControlScope is an open standards-driven control, monitoring, and optimization solution for facility, operations, energy, and sustainability professionals. Using advanced wireless Mesh Networking and software, ControlScope delivers up to 70 percent energy savings, operational efficiencies and up-time as well as occupant comfort, while providing actionable decision-support information through Big Data analytics. Leveraging Daintree’s Enterprise Internet of Things, or E-IoT approach, the solution utilizes sensors to also monitor other conditions, such as air quality, humidity, building security and more that comprise the networked ecosystem of an organization.
Quant Service is a global leader in industrial maintenance. For over 25 years, we have been realizing the full potential of maintenance for our customers. From embedding superior safety practices and building a true maintenance culture, to optimizing maintenance cost and improving plant performance, our people make the difference.
The Intento Design methodology solves the productivity gap inherent in the analog design process by reducing lengthy simulation iterations. The Intento Design methodology keeps the designer at the center of the process, specifying the parameters that must be met by the circuit; reviewing the options based on desired power consumption, performance and surface area; and selecting the optimal solution.