Azure cost optimization with IBM Turbonomic

Automatically optimize Azure VMs, disks, SQL, AKS, RI inventory and costs based on real-time demand with Turbonomic for Azure
Microsoft Azure integration for IBM Turbonomic illustration
Accelerating Azure optimization

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 Resource Manager.

The Turbonomic platform continuously generates actions that optimize Azure VMs, databases and disks based on real-time demand. Its prescribed actions help ensure performance, while minimizing cost. Additionally, the Turbonomic platform manages your reserved instances (RI) inventory and directs actions that maximize RI utilization and coverage, all through the lens of application performance.

Note: In order to enable Azure RI awareness and negotiated rates, you must provide the Turbonomic platform with access to the Microsoft Enterprise Agreement rates through the Microsoft Enterprise Agreement target.

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The Turbonomic Azure integration

Deployment
  • SaaS or on-prem

  • Agentlessly connects to your Azure account(s) via API with read only credentials

  • Integrates with Azure Resource Manager to pull all metrics and metadata

  • Discovers Azure entities and begins generating optimization actions within 60 minutes 

Entities discovered
  • Virtual machines (Azure VMs)

Metrics discovered
  • VM vCPU

  • VM vMemory (if enabled)

  • VM storage access (IOPS)

  • VM net throughput

  • VM I/O throughput

  • VM storage amount

  • VM reserved instance coverage

  • Database vMemory

  • Database vCPU

  • Database storage amount

  • Database I/O throughput

  • Database cache hit rate

  • Database connections

  • RI inventory

  • RI coverage (VMs)

Optimization actions generated
  • Scale Azure VM up/down to different type or tier (including RIs)

  • Stop/start Azure VM (known as ‘parking’)

  • Scale disks up/down

  • Delete unattached disks

  • Scale database up/down

  • Suspend database (dedicated SQL pools)

  • Buy RI for region

Azure cost optimization 
  • Maximize utilization of existing reserved instances and savings plans, and identify opportunities to increase discount coverage

  • Support rapid release cycles by modeling and optimizing costs through “what if” planning scenarios

  • Cost-consciously auto-scale to match workload demands, eliminating underutilization and overprovisioning while maintaining performance


Migration planning for Azure 
  • Model and compare the performance and cost implications of both “lift-and-shift” and optimized migration plans, mapping your existing workloads to best fit Azure VMs and disk families and types—as they are, and then optimized

  • Foster collaboration between cloud, application and DevOps teams around a single source of data

  • Accelerate workloads onto Azure through scalable, repeatable processes for future workload migrations and cloud consolidations


Natively cloud native Azure Kubernetes Service (AKS) support 
  • Automatically discover and map interdependencies between AKS services, containers, specs, pods, workload controllers, namespaces, clusters and virtual machines 

  • Continuously optimize Kubernetes performance and cost via automated container rightsizing, pod moves, cluster scaling and planning

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More public cloud integrations

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.

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Amazon Web Services (AWS)

Optimize your environment, including reserved instances inventory, with continuously generated actions based on real-time demand.

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Google Cloud Platform (GCP)

Match application demand to Google Cloud Platform’s configuration options continuously and in real time.

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