Let’s give teams the information that matters to them, and none of the stuff that doesn't
With tons of data being continuously reviewed by the AI and analytics engine, it’s easy to overwhelm your teams with information. IBM® Turbonomic® provides three built-in dashboards that show key metrics to help you make the best business decisions, and how automating those decisions is positively impacting your environment. For other teams or views, you can easily create custom dashboards within the user interface.
How AI insights work
Cloud executive dashboard
View workloads, cloud service providers and your cloud accounts in real time. See how automation adoption has impacted efficiency, performance and risks. Explore cumulative savings, necessary investments and potential savings, along with estimated cloud costs and usage of reserved instances.
On-prem executive dashboard
See detailed workloads, actions history, cost savings and improvements. The current-state chart shows the top clusters by CPU, memory and storage capacity or utilization. For future planning, it also reveals time-to-exhaustion of cluster resources. You can also see how the density of virtual machines per host or storage are improving.
Container platform dashboard
See the overall performance, capacity, and health of your container infrastructure. Get insights into top container platform clusters, so you can assess their health and sort by risk level. See top services and top namespaces to identify quota and actual utilization.
IBM Turbonomic allows you to scope to views that matter to different teams. No matter how your organization is structured, every team can get the information they care about, knowing that the analytics and actions are accounting for the resource relationships across the stack.
We have been able to approach system owners with recommendations. Coming to the application owner to correct performance and resource issues ahead of a problem has been wonderful.
— Midsized enterprise healthcare company
It's time you Turbo
Start your journey to continuous application performance while safely reducing cost.