Service Assurance and Optimization

Service assurance and continuous optimization provide ongoing visibility to the entire IT infrastructure—physical, virtual, cloud, Kubernetes, Pods, microservices, and container-based applications. You’ll gain insights into the risk, use, performance, and providers of IT resources with the ability to drill down to the device level. Integration with BMC Helix Discovery and your CMDB provide a consistent view of resource usage and cost.

• With consolidated views of overall health and status of business services, application and infrastructure metrics provide insights into the risk, efficiency, and cost of the resources running a service
• Self-service dashboards and custom views that keep stakeholders informed of the state of technology resources running their business services, applications, and environments
• Exception-based reporting that alerts on anomalous conditions that could lead to business interruption

With AI-fueled intelligence, machine learning, and analytics, your resource and cost optimization opportunities are automatically identified. Automated actions for right-sizing resources and terminating unused resources, such as idle virtual machines, can be taken to immediately obtain cost savings. Integration with BMC Helix Intelligent Automation provides proactive brokering of AI & ML recommendations to achieve resource optimization and manage risk.

• Dynamically optimize infrastructure resources for the varying demands of your applications including those based on Kubernetes, microservices, containers, and Pods
• Right-size on-premises and cloud resources with automated recommendations and visualize before and after usage models
• Terminate and reclaim unused resources based on automated recommendations with historical explanations of resource use
• Adjust resource configurations with predictive saturation alerts and notifications
• Resolve resource constraints using business KPIs and prevent business service disruption

Use predictive analytics and business KPIs to determine the IT resources you need to support increases in business demand due to special events or business growth. “What-if” modeling provides insight into the best resource configuration, location, and cost so you can make an informed decision and prevent application performance slowdowns or failures.

• Plan and simulate workload migrations to the cloud with right-sized recommendations along with cost and performance comparisons
• Plan for changes in business demand with correlation analysis and the impact of resource modifications on business KPIs
• Determine the optimum allocation of your Kubernetes pods with “what-if” workload simulations to identify potential bottlenecks and capacity issues while specifying expected growth of resources with forecast charts
• Reserve resources for new applications and business services with a calendar view of committed and available resources
• Migrate data from BMC TrueSight Capacity Optimization or BMC Helix Capacity Optimization to BMC Helix Continuous Optimization with an out-of-the-box migration toolkit