Assure Application Performance
Our software manages the complete application stack for you. It ensures your applications always get the resources they need to perform, 24/7/365.
resource demands to the
resource needs at every
layer of the stack.
Software makes application
Unpredictable Demand Can Cause Congestion
Applications are increasingly complex and dynamic: customers can access them any time, anywhere; developers can update them every hour of every day. Resource congestion can happen at any layer of the application stack.
Shown Left: From our UI, the Turbonomic supply chain represents your complete application stack: Business applications, application servers, containers, container pods, virtual machines, database servers, cloud, on-premise, fabric interconnects, I/O modules, storage arrays. Building this supply chain and mapping these relationships does not require any configuration. Turbonomic is completely agent-less; everything is done by connecting via APIs to all of these different systems.
Only Turbonomic manages the complete application stack by automatically providing specific actions that ensure your applications always get the resources they need to perform.
Works on All Major Platforms
Our AI-powered analytics automatically manages compute, storage, and network resources across all major IT platforms. Visit our Integrations page to see the full extent of what Turbonomic manages in hybrid and multicloud estates.
Turbonomic is available in three editions, providing additional capabilities to meet your specific requirements and use cases. Each edition can be run on-premises, in a public cloud or across a hybrid environment. These editions make it easy to get started and see more value as you extend Turbonomic’s autonomic platform into all layers of the stack.
| Workload Limit (VMs or AWS/Azure Cloud Instances)|
Number of workloads, as defined by Virtual Machines on-premises or Cloud Instances on AWS or Azure public clouds
|Up to 500||Unlimited||Unlimited|
Model environment changes for capacity planning & migration
| Compliance Policies|
Define & adhere to compliance policies (e.g. HA, affinity, anti-affinity, licensing, custom groups)
| IaaS Workload Placement Actions|
Optimize the placement and movement of workloads in your compute environment.
| IaaS Workload Scaling Actions|
Optimize the vertical and horizontal scaling of workloads both on-premises and in the cloud.
| Converged/Hyperconverged Integration & Actions|
Integrate with and take actions for supported converged fabric systems (e.g. Cisco UCS) and Hyperconverged Systems (e.g. Nutanix, Cisco Hyperflex)
| Storage Systems Integration & Actions|
Integrate with and take actions for supported storage platforms (e.g. Pure Storage, NetApp or EMC)
| Application Level Integration & Actions|
Integrate with and take actions with application Load Balancers (e.g. Citrix NetScaler), Application Servers (e.g. IBM WebSphere, Oracle WebLogic) and APM tools (e.g. Cisco AppDynamics, Dynatrace)
| Self-service & workflow|
Integrate with self-service & workflow systems for initial workload placement
| Database Server Integration & Actions|
Integrate with and take actions for Database Servers(e.g. Oracle, MS SQL Server)
| Container Placement & Scaling Actions|
Take actions to optimize container environments, including Kubernetes and PCF.
| Network Aware Placement Actions|
Understand network traffic across workloads when making placement decisions (e.g. “chatty workloads” are placed close to each other)