BMC Helix Capacity Optimization 20.02 offers the following key features and enhancements:
Enhanced reporting capabilities
New Summary Data Mart wizard to create custom data marts
Using the new Summary Data Mart wizard, you can build a custom data mart to retrieve the data according to your requirements. This simple and easy-to-use wizard allows you to create data marts using the necessary metrics without requiring a knowledge of SQLs. This custom data mart can then be used in a custom view or report.
For details, see Creating a summary data mart for a custom view.
New chart sizing options for charts in capacity views
You can now maximize or minimize any chart in the capacity views. When maximized, the chart is displayed in the full-screen mode. For details, see Managing charts.
Service-aware planning with extended lookback and forecasting duration
You can now extend the forecasted days to saturation analysis window in the Business Services view to 180 days. This can be achieved by using the Use long term data to compute indicators parameter added for the Days to Saturation indicator in the Thresholds page. In this parameter, you can configure lookback duration upto 18 months. For details, see Indicators.
Improved User Experience
Timezone user preferences for Investigate
The Investigate Tool now allows you to view data in different timezones in investigate studies. This can be achieved using the new options added in the Settings page at the Investigate Study level. For details, see Creating and managing Investigate Studies.
Display of the Gateway Server host name on the Configuration page
When you configure the BMC Client Gateway for the Gateway Server, the Gateway Server host name is now displayed on the Gateway Server Configuration page and the Manager run log files. For details, see Adding, removing, and inspecting Gateway Server details.
Embedded self-help is available in this release of BMC Helix Capacity Optimization. It provides guided assistance that helps you learn to navigate the product and complete tasks. From the Self-help pane, you can access relevant quick tours, links to documentation help topics, and videos.
The following screenshot shows the Self-help pane that is available while working in the Administration tab:
New API for Agent Data
Agent Data REST API analyzes real-time data and historical data to address any capacity and performance issues in your environment. For details, see Agent Data API.
Support for Pivotal Cloud Foundry
New ETL to import data from Pivotal Cloud Foundry
BMC Helix Capacity Optimization now supports Pivotal Cloud Foundry, a unified, multi-cloud platform to manage enterprise applications at scale. The Pivotal CF - Integrator enables you to extract capacity metrics from both Pivotal Cloud Foundry component VMs and Applications manager.
The integration supports the following use cases:
- Component VMs defined in the Pivotal Cloud Foundry platform will be imported to allow monitoring and forecasting of future node status
- VMs that are part of the major Pivotal Cloud Foundry Diego compartment will be collected, providing a capacity overview of the key components of Pivotal Cloud Foundry
- Application topology discovered by Pivotal Cloud Foundry will be collected. The use of this up-to-date application structure data in analysis and models will increase the capacity management process efficiency.
- Capacity-relevant information imported at different levels of aggregation (foundation, domains)
New out-of-the-box view for Pivotal Cloud Foundry
The new, out-of-the-box, Pivotal Cloud Foundry view enables you to manage the capacity and efficiency of containerized environment and applications, VMs, and infrastructure level. You can:
- Understand resource bottlenecks and aggregate residual capacity of Pivotal Cloud foundry Diego cells and other virtual machines
- Detect current or imminent resource saturation conditions and days before the resource is saturated for every major Pivotal Cloud Foundry resource
- Assess the level of infrastructure efficiency by comparing allocated vs utilized resources, and identify at-risk virtual machine or applications
- Identify applications in resource usage patterns and detect resource shortage conditions
Extended coverage for data collection
New ETL to import data from the Nutanix Acropolis Hypervisor
The new Nutanix - Prism API Extractor for AHV ETL enables you to collect configuration and performance data of the Nutanix Acropolis Hypervisor entities. You can use this ETL to collect metrics from the following entities:
- Virtual Machine
- Storage Pool
ETL module enhancements
The following ETL modules are enhanced to support new features and additional metrics:
Added the following lookup options in the Dynatrace-Extraction property:
|Hitachi Device Manager ETL for BMC Helix Capacity Optimization|
Improved to add:
|BMC - Helix Capacity Optimization Gateway VIS files parser|
Additional metrics to support the following:
Extended software support
The following ETLs now support new software versions:
Newly supported software version
|OpenStack API Extractor Service|
Stein and Train version
|Kubernetes Version 1.5 to 1.14|
|Moviri Integrator for Helix Capacity Optimization – k8s (Kubernetes) Prometheus||Kubernetes Version 1.5 to 1.14|
|Moviri Integrator for Helix Capacity Optimization - Splunk||Splunk 7|
|Storage All-in-One ETL for BMC Helix Capacity Optimization|
Sentry and Moviri packages available out-of-the-box
The Sentry and Moviri packages are now available out-of-the-box in the Additional Packages list in the Helix Capacity Optimization Console. You no longer need to download these packages from the FTP server. For details, see Performing system maintenance tasks.
Support for new operating systems
The following operating systems are now supported for Application Server, ETL Engine, Gateway Server, and Capacity Agents:
Newly supported version
|Application Server and ETL Engine|
Red Hat Enterprise Linux
|7.7, 8.0, 8.1|
|12 SP5, 15 SP1|
|Red Hat Enterprise Linux|
7.7, 8.0, 8.1
|Red Hat Enterprise Linux|
|SUSE||12 SP5, 15 SP1|
For a list of all the supported operating systems, see Planning.