BMC Helix Continuous Optimization
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BMC Helix Continuous Optimization Proactively plan, manage, and optimize IT resources for business service assurance PRODUCT DESCRIPTION BMC Helix Continuous Optimization uses intelligence and predictive analytics to dynamically align infrastructure resources with the demands of applications including those based on Kubernetes, micro-services, pods, containers and multi-cloud resources. BMC Helix Continuous Optimization enables IT to keep pace with changes in resource demands while still assuring service performance and availability. BUSINESS CHALLENGE • BMC Helix Continuous Optimization integration with BMC Helix Intelligent Automation provides proactive brokering of AI & ML recommendations to achieve resource optimization and manage risk As organizations adopt new technologies and cloud to deliver digital services faster and more reliably, continuous IT resource optimization and service assurance have become a major challenge. The combination of multi-cloud, hybrid cloud, and legacy on-premises infrastructure, along with the increased deployment of applications based on Kubernetes, micro-services, containers, and pods have dramatically increased IT complexity. DevOps teams are spending too much of their time fixing problems instead of innovating and driving competitive advantage. Self-service capabilities can lead to over-provisioning of resources and increased costs, while insufficient resource allocation can lead to application performance degradation and failures. Organizations need to continuously optimize resource use and minimize costs, while simultaneously supporting fluctuations in business service demand. BMC SOLUTION BMC Helix Continuous Optimization provides ongoing visibility to the entire IT infrastructure— physical, virtual, cloud, Kubernetes, microservices and containerbased applications — so IT can easily add, remove, or adjust compute, storage, • Gain visibility across the enterprise, including legacy applications, on-premises, physical, virtual, containers, Kubernetes, PODS and cloud infrastructure resources • nderstand the overall health of business U services using comprehensive consolidated views of application and infrastructure metrics to maximize performance, and minimize cost. Predictive saturation forecasting helps you avoid failures and slow downs • eploy applications on time by reserving D IT resources when needed • Simulate and analyze cloud migrations and Kubernetes workload impact before implementation • loud Service Provider pricing catalogs are C automatically updated enabling you to specify discounts or additional costs, such as personnel expenses, to be applied to the cost of resources provisioned in the public cloud KEY BENEFITS • efer or eliminate capital expenditures by D 30% or more Optimize Containers for Kubernetes Platforms • educe cloud spend with right-sized R recommendations for migrating workloads • ast ROI with average pa

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network, and other resources to assure services and meet changing application demands. Service views, forecasting, modeling, and simulated migrations provide insight for future resource needs and the ability to control the timing and cost of new capital and operating expenditures. Self-service dashboards, business services views, and reports keep project owners, business owners and other stakeholders informed of overall health and status of business services, application and infrastructure metrics provide insights into risk, efficiency, and cost of resources running a service. “What-if”...

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