Turbonomic, recently named an IDC Innovator for multicloud management, has extended the platform’s on-premises capabilities with new support for Amazon Web Services (AWS) and Microsoft Azure public cloud environments. This news underpins the Turbonomic vision of enabling organizations to control any workload, on any infrastructure, anywhere, anytime. New public cloud support includes:
· Visibility of all workloads, whether on-premises or in AWS and Azure environments;
· Acceleration of public cloud migration;
· Lowering of public cloud bills on average by 30%;
· Control of workloads to assure performance and deliver service levels; and
· Enforcement of compliance policies across a hybrid cloud.
Organizations are facing tremendous pressure to modernize and transform their IT in order to become a digital business. Cloud is central to this transformation, with nearly 49% of application workloads expected to migrate to public cloud by the end of 20201. Managing the transition is challenging, and mistakes are costly – in many cases unknowingly costing organizations millions of dollars. Because of the complexity of hybrid cloud environments, the ability to monitor, analyze, and proactively prevent issues from occurring is beyond human scale.
Leveraging the elasticity and scale of public clouds to run workloads in the right place at the right time is top of mind for organizations as workloads and infrastructure are increasingly decoupled. This however creates enormous complexity that humans and scripts cannot solve, requiring self-managing software to assure and optimize performance. Gartner estimates that by 2020, 25% of large enterprises will turn to “dynamic optimization” solutions (like Turbonomic) to manage public cloud costs and risks – up from less than 1% in 20162.
Turbonomic 5.9 unleashes the elasticity of AWS and Azure public cloud environments by curating workload demand to achieve the desired state: a state that assures performance, lowers costs and ensures continuous compliance, in real-time. Customers benefit from new features that enable:
· Viewing all workloads, on-premises and/or in AWS and Azure environments, with a single software platform, through a single pane of glass;
· Migrating to AWS and Azure public clouds, on-time and under-budget with new migration planning, workload placement, and workload scaling;
· Lowering hybrid cloud costs in AWS and Azure public clouds with new budget control, cost forecasting and cost management features;
· Controlling public cloud workloads to assure performance, automatically scale workloads, and curate demand to ensure applications get the resources they need in real-time; and
· Enforcing compliance policies across a hybrid cloud environment with new workload anti-affinity, data sovereignty and placement policy enforcement.
