There are two functional areas included in the SIOS iQ features (Resource Optimization, Performance Optimization).

  • Resource Optimization – This includes features that increase utilization rates of hardware, decrease the amount of waste in the environment, and optimize the use of compute, storage, and network components. This provides the user with the information needed to help make intelligent forecast and planning decisions.
  • Performance Optimization – This includes features that help maintain predictable performance and service levels. It also helps improve the performance of the environment and helps diagnose and mitigate anomalies or other problems impacting workload performance. The specific feature under Performance Optimization is “Performance Root Cause Analysis”.


  • SIOS PERC Dashboard™ (PERC > SIOS PERC Dashboard™) – The following charts are available.
    • Performance Issues
      • Critical
      • Warning
      • Information
      • All Performance Issues
    • Efficiency Issues
      • Information
      • All Efficiency Issues
    • Reliability Issues
      • Warning
      • Information
      • All Reliability Issues
    • Capacity Issues
      • Critical
      • Warning
      • Information
      • All Capacity Issues
    • Compute Performance
      • Host CPU Utilization (%)
      • CPU Ready Time
      • Host Memory Utilization (%)
      • Memory Ballooning
      • Memory Swapping
    • Compute Efficiency
      • Waste – Compute Cost
      • Waste – vCPUs
      • Waste – vMemory
      • Avg VMs per Host
    • Compute Reliability
      • Host Uptime
      • Live Migrations
      • Host Failure Tolerance
    • Compute Capacity
      • Total CPU Utilization
      • Total Memory Utilization
    • Storage Performance
      • Average Throughput
      • Average IOPS
      • Average Latency
    • Storage Efficiency
      • Waste – Storage Cost
      • Waste – Storage Space
      • Storage Acceleration Candidates
    • Storage Reliability
    • Storage Capacity
      • Total Storage Utilization
      • # of Days to Out of Capacity
    • Network Performance
      • Average Throughput
    • Network Efficiency
    • Network Reliability
      • Dropped Packets
    • Network Capacity
  • SIOS PERC Topology – The SIOS PERC Topology is an innovative dashboard that renders complex infrastructure behaviors in a clear, condensed form that enables users to readily comprehend the overall health of their environments and clusters. The dashboard Pies give IT instantaneous access to the operating status across four key service dimensions – Performance, Efficiency, Reliability and Capacity utilization – and enable interactive exploration of infrastructure issues at every level of granularity with a single click.
  • Performance Forecasting – The Performance Forecasting Dashboard provides a daily visual 7-day forecast of predicted Performance Issues due to the computational and storage resource limitations associated with environment configuration. The forecast is accompanied by a navigable Issue List that enables detailed investigation of specific predicted issues.
  • Efficiency Dashboard – The Efficiency Dashboard highlights the wasted resources that can be reclaimed within the infrastructure along with the source of the waste. The Efficiency Dashboard includes Idle VMs and Snapshots. Idle VMs are VMs that have a certain amount of CPU, memory, or storage provisioned or reserved but not utilized. The user can sort the list of Idle VMs by name, amount of CPU, memory, or potential savings achieved by deleting the VM and reclaiming the resources to be better utilized elsewhere in the infrastructure. Users are able to identify snapshots that may be deleted or merged in order to reduce waste and costs as well as improve performance. Users can sort the list of snapshots based on key metrics such as snapshot size, age, number of snapshots under the same VM, datastore capacity utilization, and cost savings.
    • Rogue Snapshots – Users can reduce storage waste and save costs by identifying rogue snapshots that may be merged or deleted.
  • Policies – Users can adjust the default settings for Idle VMs, Cost, Oversized VMs, Storage Acceleration, Machine Learning and Capacity Forecasting.
    • Cost: Calculation Values – Monthly vCPU Cost, Monthly Memory Cost per GB, Monthly Storage Cost per GB
    • Idle VMs: Parameters – Avg CPU Utilization, Percent of Avg Disk Utilization, Percent of Avg Network Utilization
    • Oversized VMs: Parameters – Avg CPU Usage, Maximum Avg CPU Usage, Avg vMemory Usage, Maximum Avg vMemory Usage
    • Storage Acceleration: Parameters – Read Ratio, Cache Hit Ratio
    • Machine Learning: Parameter – Sensitivity
    • Capacity Forecasting: Parameters – Critical Number of Days, Warning Number of Days, Information Number of Days, Percent of Capacity Used
  • Post Installation Configuration – Network, Service, and Email Notification configuration information can be updated after installation.
  • Event Log – Users can view informational, warning, and error events in the User Interface (Manage > Event Log).
  • Audit Log – The Audit Log captures the administrative actions of the users, along with the outcome of the action (Manage > Audit Log).
  • Performance Root Cause and Meta Analysis – The Performance Root Cause Analysis Dashboard provides a comprehensive and detailed overview of problems in the infrastructure detected and analyzed by the SIOS iQ Performance Meta Analysis feature, which brings Deep Learning to bear on Performance Root Cause Analysis. Deep Learning is a Machine Learning approach that helped AlphaGo master the game of Go and Deep Blue to master Chess. The incarnation of Deep Learning in SIOS iQ helps to identify the root causes of the performance problems across very large dataset (behaviors, topologies, anomalies and patterns over time) events in very dynamic virtualization and cloud environments. Meta Analysis drastically reduces problem identification to a very small number of recurring anomalous behavior patterns and their root cause(s).
  • UpdateSIOS iQ updates are available via the User Interface.
  • Environments – Users can view, add, edit, and remove Environments from the Inventory > Environments console.
    Users can also view their associated virtual machines from the Inventory > Environments/Virtual Machines consoles.
  • Health Status – The health status of an item is listed on the Inventory page under the sub-menus. The Health status of a particular item is determined by the highest severity level of any In-Progress events on the PERC Issue List related to that item.


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