VirtualWisdom 6.0 – AIOps and Predictive Capacity Planning Take Center Stage  

Clabby Analytics last reviewed Virtual Instruments (VI) VirtualWisdom (5.4) in March 2018. At that time, we applauded the company’s focus on “application-centric” management – the blending of infrastructure and application performance monitoring and management to tune and optimize workflows. VirtualWisdom’s visualization dashboard and analytics provides comprehensive infrastructure management in the context of the application, helping IT managers to better understand application behavior across multi-tenancy environments, and across hybrid data centers.

This latest announcement enables VirtualWisdom to play in the growing AIOps market, using data and analytics to improve efficiency and speed problem resolution with proactive dashboards and application-aware topology maps. This release also adds predictive capacity planning and optimization features specifically requested by customers – a new capability of VirtualWisdom. Finally, a host of new integrations expand the scope of VirtualWisdom, enhancing its ability to monitor performance across hybrid cloud infrastructure.


Back in 2017, Gartner introduced the concept of AIOps (originally called Algorithmic IT Operations, now Artificial Intelligence for IT Operations) and defined it this way, “AIOps platforms utilize big data, modern machine learning and other advanced analytics technologies to directly and indirectly enhance IT operations (monitoring, automation and service desk) functions with proactive, personal and dynamic insight. AIOps platforms enable the concurrent use of multiple data sources, data collection methods, analytical (real-time and deep) technologies, and presentation technologies.”

Gartner predicts that by 2023, AIOps platforms will become the prime tool for analysis of monitoring data. BMC, CA Technologies, IBM, Splunk, ExtraHop and others are increasingly embracing the term and aligning solutions around the concept. With this announcement, VI joined the fray, combining application-centric hybrid infrastructure performance management and monitoring with AIOps, making it easier for administrators to identify and fix issues before they impact end users.

Capacity planning has long been the realm of products such as Dell EMC ViPR, NetApp OnCommand and IBM Tivoli Storage Productivity Center. These storage software offerings provide a central point for storage management, storage virtualization, and capacity planning, managing activities such as space reclamation and storage consolidation. As these vendors shift their focus to newer technology and solutions, VirtualWisdom 6.0’s predictive capacity analytics provide these capabilities in an integrated offering that is less costly and easier to manage.

Virtual Wisdom 6.0 – A closer look

VirtualWisdom 6.0 holistically monitors, analyzes and optimizes the health, utilization, capacity and performance of IT infrastructure within the context of the application. By mapping applications to infrastructure, VirtualWisdom understands how the application behaves on top of the infrastructure and provides end-to-end visibility. VirtualWisdom applies real-time, AI-based analytics that include machine learning, statistical analysis, heuristics and expert systems, to optimize the performance and availability of the mission-critical applications across hybrid infrastructure A detailed description of VirtualWisdom 6.0 features follows.


Proactive dashboards can now use scheduled (hourly, daily, weekly…) proactive analytics to identify opportunities to optimize and balance workload infrastructure. Scheduled analytics for capacity monitoring, reporting and predictive analytics allow companies to optimize their storage, compute and network resources. Trend Matcher, VI’s AI-based cross-silo correlation analytic is app-centric and topology-aware overlaying correlation directly onto the topology map for an integrated view across siloes. A shared context is displayed across all infrastructure management tools showing the trends and behavior of resources. Alerts show raw utilization, bandwidth, CPU and memory and enable prediction of “time to zero”.

Users can now interact with topology maps that show which applications are using different network resources. With an organized visual representation of the current infrastructure, users can see all the dependencies.

Recommendations for optimization and problem resolution are now incorporated directly into the dashboard for faster problem-solving. In the future, this capability will be automated but user controlled, so administrators can make changes as desired.

Predictive capacity management

Predictive capacity management monitors consumption rates and analyzes data in order to predict capacity rates and give businesses the ability to use this information for both long and short forecasting. The network operator receives capacity alerts that, for example, will provide notification that CPU memory is running low. Predictive capacity management will help enterprises optimize infrastructure capacity; identify capacity exhaustion risks; and proactively recover unused capacity by using predictive planning, monitoring and forecasting of consumption.


Support for new platforms
  • Operating System Integration – Operating system integration of Amazon Web Services and Microsoft Azure has been added, and future support is planned for Google public clouds. Agentless collection of OS level metrics from either Linux or Windows hosts across cloud, virtual and physical instances has also been added. This host integration provides consistent host monitoring across cloud, physical and virtual environments from a single pane of glass–enabling administrators to easily compare and monitor application and host performance, including servers and VMs across all infrastructure.
  • New Performance Probes -A single 10Gb Probe is available for both NAS and iSCSI wire data, but also includes 300 new metrics that can be recorded for existing NFS, SMB and Ethernet for iSCSI. A few examples of new workload metrics are payload, queue depth/logins/logouts, events/failures. This support complements existing NFS and SMB monitoring capabilities.
  • Storage- Support has been added for Dell EMC’s VMAX/PowerMAX, as well as IBM’s SVC, with the ability to monitor health, performance and capacity of storage arrays to identify performance bottlenecks, help balance workloads and free up capacity.


  • APM Support Enhancements– Correlation of native application and infrastructure discovery with Dynatrace has been added, in addition to existing correlation with AppDynamics, ServiceNOW, VMware vApps, Netflow and host discovery. This enables a shared understanding of how infrastructure supports application service level agreements (SLAs), speeds time to problem resolution and allows benchmarking over time. All standard entity capabilities in VirtualWisdom are enabled including dashboards, reporting, analytics, reporting, and alarming.


In addition, AppDynamics event integration has been enhanced to allow rapid correlation of the impact of end-user response time to infrastructure performance.


Summary observations

As Len Rosenthal, Virtual Instruments CMO put it, “VirtualWisdom closes the door on the IT War Room.” VirtualWisdom 6.0 combines true performance monitoring across applications and hybrid infrastructure, providing alert aggregation and pattern-based analytics that can pinpoint potential issues and resolve them proactively. New capacity-planning capabilities extend the value of VirtualWisdom. VirtualWisdom 6.0 enables the company to continue its leadership in the infrastructure performance monitoring market, while positioning them squarely to compete in the growing AIOps market.

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