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Cisco Workload Optimization Manager (CWOM)

Ensure application performance with real-time optimization

The ability to continuously deliver application performance while minimizing costs is critical. It enables development teams to innovate and run applications efficiently. Cisco Workload Optimization Manager is intelligent software that assures application performance by giving workloads the resources they need, when they need them.

Get application-aware infrastructure (pdf download)

Cisco AppDynamics and Cisco Workload Optimization Manager provide visibility and insight into application and infrastructure interdependencies and business performance.

Optimize hyperconverged workloads (pdf download)

Get predictable performance and IT agility with Cisco Workload Optimization Manager and HyperFlex.

Drive digital transformation with automation (video link)

Intelligent automation addresses the complexity that your organizations face, taking the time and guesswork out of allocating IT resources.

Cisco Workload Optimization Manager can ensure application performance across your data centers and into public clouds, and tracks, reports, and views trendsfor compute, storage, and database consumption metrics (CPU, memory, IOPs, latency, and Database Transaction Unit (DTU)) across regions and zones. A summary of the types of reports, grouped by category are shown below.

VM Over/Under Provisioning 90 Days
This report shows Virtual Machines that are over and under provisioned as indicated by their utilization of CPU and Memory
VM Rightsizing Recommendations
This report shows rightsizing recommendations for Virtual Machines based on time range and threshold settings
VM Top Bottom Capacity
Shows a capacity-centered view of VCPU and VMemory utilization, providing actual quantities both used and in reserve.
Storage Associated with Dormant VMs
This report shows the amounts of storage used by virtual machines that have been dormant for several days. This storage has the potential to be reclaimed, depending
upon the final disposition of such VMs.
Individual VM Monthly Summary
This report shows a monthly summary of Virtual Machines CPU, Memory and Storage measurements
Monthly Top Bottom 15 VMs Capacity
Shows a capacity-centered view of CPU and Memory utilization, providing actual quantities both used and in reserve.
VM Over/Under Provisioning 30 Days
This report shows Virtual Machines that are over and under provisioned as indicated by their utilization of CPU and Memory
Monthly VMem Capacity
This report shows the VMem capacity over the last month, that was assigned to the VMs in the environment. Where the capacity for a VM was increased or decreased
during the month, the higher value is used for the entire month. This report also lists all the clusters that were active in the month.
VM Group Summary
VM Group Summary
Virtual Machine Summary
Virtual Machine Summary
VM Group Summary (Physical Resources)
Monthly Virtual Machine summary of Physical Resources
Individual VM Monthly Summary by VM Group
Monthly Virtual Machine Group Summary Breakdown by Individual VM
Month Based VM Group Over Under Provisioning
Month Based VM Group Over Under Provisioning
VM 15 Top Bottom Capacity
Shows a capacity-centered view of CPU and Memory utilization, providing actual quantities both used and in reserve.
VM Group RightSizing Info
VM Group RightSizing Info
Host/VM - 30 Days Stats vs Thresholds
This report shows daily average utilization measurements for the past 30 days. Averages are grouped into two sections. One rolled up for physical machines and
another rolled up for virtual machines.
Monthly Overview with Cluster Summary
This report shows monthly statistics for the enterprise as a whole, and a monthly summary for each cluster.
Monthly Overview
This report shows monthly statistics for the enterprise.
Host/VM - Top Bottom Utilized
This report shows the top and bottom physical and virtual machines by their Price Index measurements. Price Index is a derived value that reflects the consumption levels
of key compute resources taken in combination. Larger values indicate machines on which resources are most utilized.
Host/VM - Resource Utilization Heatmap
This report shows the hottest physical and virtual machines according to their Price Index measurements. Price Index is a derived value that reflects the consumption levels
of key compute resources taken in combination. Larger values indicate machines on which resources are most utilized.
Host Top Bottom Capacity
Shows a capacity-centered view of CPU and Memory utilization, providing actual quantities both used and in reserve.
Host Top CPU Ready Queue
Shows top machines by CPU ready queue utilization
Top Host Utilization by Resource
Shows top machines by utilization of each resource type
Host/VM Groups - 30 Day Stats vs Thresholds
Shows a roll-up of average utilization values per day for 30 days for each grouping of machines. Values are highlighted where they cross certain threshold values
that may indicate a condition of over utilization of resources.
Monthly Top Bottom 15 Hosts Capacity
Shows a capacity-centered view of CPU and Memory utilization, providing actual quantities both used and in reserve.
Weekly Socket Audit Report
This report gives a socket count per PM for licensing purposes
Host Group Summary
Host Group Summary
Host Summary
Host Summary
Hosting Summary by Host Group
Hosting Summary by Host Group
Host Monthly Individual Cluster Summary
Monthly Individual Cluster Summary
Host Top Bottom Capacity Grid Per Cluster
Host Top Bottom Capacity Grid Per Cluster
Host/VM Group - Resource Utilization Heatmap
Heatmap report per cluster
Storage Top Bottom Capacity
This report shows the top and bottom data stores based on their level of consumption as of the date indicated.
Storage Associated with Dormant VMs
This report shows the amounts of storage used by virtual machines that have been dormant for several days. This storage has the potential to be reclaimed, depending
upon the final disposition of such VMs.
Storage Top Disk Consumption
This report presents two independent views of information related to VDisk storage. The first highlights data stores that possess the largest amounts of VDisk storage.
The second lists Virtual Machines organized most to least in terms of their consumption of VDisk storage.
Storage Top Log Consumption
This report presents two independent views of information related to Log storage. The first highlights data stores that possess the largest amounts of Log storage.
The second lists Virtual Machines organized most to least in terms of their consumption of Log storage.
Storage Top Snapshot Consumption
This report presents two independent views of information related to Snapshot storage. The first highlights data stores that possess the largest amounts of Snapshot
storage. The second lists Virtual Machines organized most to least in terms of their consumption of Snapshot storage.
Storage Top Swap Consumption
This report presents two independent views of information related to Swap storage. The first highlights data stores that possess the largest amounts of Swap storage.
The second lists Virtual Machines organized most to least in terms of their consumption of Swap storage.
Storage Wasted Allocations
This report presents data stores that possess the largest amounts of wasted storage. Wasted storage is taken as storage used for purposes not directly associated with
supporting the operation of a VM.
Storage Access IO Latency
This report presents two independent views of information related to Latency in accessing storage. The first highlights data stores having the largest amounts of storage
access latency. The second lists Virtual Machines organized most to least in terms of latency in accessing storage.
Storage Access IOPS
This report presents two independent views of information related to IOPS for storage. The first highlights data stores that possess the largest usage of IOPS. The second
lists Virtual Machines organized most to least in terms of their use of IOPS related to storage.
Storage Access IO Latency - 30 Days
This report presents two independent views of information related to Latency in accessing storage. The first highlights data stores having the largest amounts of storage
access latency. The second lists Virtual Machines organized most to least in terms of latency in accessing storage.
Storage Access IOPS - 30 Days
This report presents two independent views of information related to IOPS for storage. The first highlights data stores that possess the largest usage of IOPS. The second
lists Virtual Machines organized most to least in terms of their use of IOPS related to storage.
Storage Access IO Latency - 7 Days
This report presents two independent views of information related to Latency in accessing storage. The first highlights data stores having the largest amounts of storage
access latency. The second lists Virtual Machines organized most to least in terms of latency in accessing storage.
Storage Access IOPS - 7 Days
This report presents two independent views of information related to IOPS for storage. The first highlights data stores that possess the largest usage of IOPS. The second
lists Virtual Machines organized most to least in terms of their use of IOPS related to storage.
Datastore Group Summary
Datastore Group Summary
Data Store Summary
Data Store Summary
Monthly Overview with Cluster Summary
This report shows monthly statistics for the enterprise as a whole, and a monthly summary for each cluster.
Host Monthly Individual Cluster Summary
Monthly Individual Cluster Summary
Host Top Bottom Capacity Grid Per Cluster
Host Top Bottom Capacity Grid Per Cluster
Utilization Day Over Day by Hour
This report shows average hourly utilization measurements compared day-over-day for the two days indicated. All machines in the infrastructure are included in the
averages.
Utilization Levels by Hour
This report shows by-hour averages for CPU and Memory utlization measurements for Physical and Virtual machines. Averages are rolled up for all machines.
Utilization Week Over Week by Day
This report shows average daily utilization measurements compared week-over-week for the two weeks indicated. All machines in the infrastructure are included in the
averages.
CLOUD
Optimize Cloud
Scale workloads and buy reserved instances
Migrate to Cloud
Migrate workloads to the Cloud as IaaS or PaaS
ON-PREM
Optimize On-prem 
Scale or move virtual machines and consolidate hardware
Add Virtual Machines 
See the impact of adding more virtual machines to your environment
Virtual Machine Growth 
Add Virtual machines in a projection plan
Hardware Refresh 
See how many new hosts you need when you upgrade
Host Decommission 
See whether you can support your current load if you shut down a host
Virtual Machine Migration 
Move virtual machines from one cluster to another
Merge Clusters 
Create a super cluster to leverage your hardware
Alleviate Pressure 
Move virtual machines from a hot cluster to a cold cluster
Custom Plan 
Create your own plan
Workload Optimization Manager plans run simulations for what-if scenarios that explore possibilities such as: 
Migrating on-prem workloads to a public cloud
Optimizing the costs and performance you see on the public cloud
Optimal workload distribution across existing resources
Changing hardware supply
Impact of downsizing, or removing resources
To run these scenarios, Workload Optimization Manager creates a snapshot copy of your real-time market. It then uses the
Economic Scheduling Engine to perform analysis on that snapshot market. You can modify the snapshot by changing the workload,
adding or removing hardware resources, or eliminating constraints such as cluster boundaries or placement policies. 
As it runs a planning scenario, Workload Optimization Manager continuously analyzes the snapshot market until it arrives at the
optimal conditions that market can achieve.

For further information or to book a demo, contact us today.

Cisco ACI

Cisco ACI helps customers manage and excel in complex environments by increasing operational efficiencies, delivering network automation, and improving security for any combination of on-premises data centers, private, and public clouds. With ACI, customers can increase business agility through network optimisation, business protection, and cloud enablement.

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CASE STUDY: Large Financial Enterprise

Customer Overview Industry: Financial Sector Location: Brussels, Belgium Number of Employees: 4000 Challenge Complex request management process No automation and orchestration of business processes Complex business process and approvals requiring manual intervention Integration into VMware, XenDesktop, SCCM, IPAM, ITSM and more...

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