Take advantage of Azure Hybrid Benefit for Windows, Linux, and SQL Server. Familiarize yourself with the services you use, how you're charged, and what service-specific cost optimization options you have. You can discover the services you use from the Azure portal All resources page or from...
Placing and fine-tuning cloud workloads can be a challenge. Many cloud management platforms include workload optimization tools that enable more efficient use of resources, often by moving each application to the cluster that supports its specific performance and cost requirements. Intel works with a ...
server or storage capacity than they need, leading to idle or unused capacity. Teams can also forget to shut down resources they no longer require. Companies can mitigate this by continuously monitoring usage with cloud monitoring and automation tools and conducting regular optimization reviews. This...
Inter-Cloud Workload OptimizationEcoInterCloud extends theEco4Cloudconsolidationalgorithm to the Inter-Cloudscenario.Agostino ForestieroRaffaele GiordanelliCarlo MastroianniMichela MeoGiuseppe Papuzzo
users have workload optimization as a major pain point while the system developers are now tasked with supporting a large base of cloud users. We present Peregrine, a workload optimization platform for cloud query engines that we have been developing for the big data analytics infrastructure at ...
Workload Optimizer is an analytical decision engine that generates actions that drive the IT environment toward a desired state where workload performance is assured and cost is minimized. In this sample chapter from Cisco Intersight: A Handbook for Intelligent Cloud Operations, you will explore how...
A reliable, high-performance cloud starts with a foundation of server processors that can meet the needs of highly demanding applications, including analytics and AI. Intel® processors and accelerators help you achieve workload optimization in the cloud for virtually any application. Intel® Xeon...
Sometimes, you might be able to achieve equal or better performance for a given workload, while lowering your costs by switching to a different type of cloud service. For example, an application that is currently hosted on a cloud server might cost less to operate as aserverless...
Based on termination signal predictions from its AI-driven algorithm, the solution migrates the running EDA workload, live, to an on-demand VM in the VM array, thus reducing the chances of the workload being terminated. Once spot availability eases, the running state is migrated back to a ...
Review your workload architecture for cost optimization using the Microsoft Azure Well-Architected Review assessment and the Microsoft Azure Well-Architected Framework design documentation. Save with Azure offers and licensing terms such as the Azure Hybrid Benefit, paying in advance for predictable worklo...