Microsoft Azure is Microsoft’s infrastructure platform for the public cloud. The IBM® Turbonomic® platform integrates with Azure through an Azure service principal and leverages Azure Resources Manager.
The IBM Turbonomic platform continuously generates actions that optimize Azure VMs, databases and volumes based on real-time demand. Its prescribed actions help ensure performance, while minimizing cost. Additionally, the IBM Turbonomic platform manages your reserved instances (RI) inventory and directs actions that maximize RI utilization and coverage, all through the lens of application performance.
For Azure App Service, a platform as a service (PaaS) offering from Microsoft, IBM Turbonomic software discovers the Azure platform and plans the makeup of your deployment. Azure App Service appears as “app component specs” on the IBM Turbonomic platform and the plans that define the underlying compute resources appear as “virtual machine specs.” To discover these with IBM Turbonomic software, users must provide permissions to support all the actions they want to perform.
Note: In order to enable Azure RI awareness and negotiated rates, you must provide the IBM Turbonomic platform with access to the Microsoft Enterprise Agreement rates through the Microsoft Enterprise Agreement target.
Data discovered
Entities
Virtual machines
Databases
Volumes
Zones
Regions
Metrics
VM vCPU
VM vMemory (if enabled)
VM storage access (IOPS)
VM net throughput
VM I/O throughput
VM storage amount
VM number of attached disks
VM reserved instance coverage
Database memory
Database vCPU
Database storage amount
Database I/O throughput
Database transaction log
Database transactions
Actions generated
Scale up VM
Scale down VM
Scale up database
Scale down database
Delete unattached volume
Buy RI (EA and GovCloud only)
*Storage actions coming soon
Microsoft Azure integration is one of several public cloud integrations available for the IBM Turbonomic platform. Connect to public cloud tooling to optimize your environment, including reserved instances inventory, with continuously generated actions based on real-time demand.
Optimize your environment, including reserved instances inventory, with continuously generated actions based on real-time demand.
Calculate cloud investments and savings as resourcing actions are prescribed.
Leverage custom pricing to calculate workload size and reserved instances coverage for your Azure environment.
Match application demand to Google Cloud Platform’s configuration options continuously and in real time.
Calculate cloud investments and savings with greater accuracy.
Use Azure App Service to plan the makeup of your application deployment.