Managing the capacity of your standalone servers

As the flow diagram illustrates, the data source (Gateway Server) collects data from the standalone systems. The collected data is transferred to the Capacity Optimization data warehouse where it is processed, and then displayed on the user interface. You can use the product features to review, analyze, and manage the capacity of your standalone servers. 

The following sections describe how you can achieve these goals:

• Manage the capacity of standalone systems 
• Perform advanced analysis 
• Manage future demand

Managing the capacity of standalone servers

You can analyze and manage the capacity of your standalone servers by using the server views. For the data to be available in the view, the Administrator must first configure data collection.

Step 1. Collect data and install the views

As an Administrator, you can use the following data source to collect data for your standalone servers:

• BMC-TrueSight-Capacity-Optimization-Gateway-VIS-files-parser: Configure and use this ETL to collect additional metrics, more accurate memory utilization metrics, and performance metrics at a higher granularity. Before you use this ETL, you must instrument the VMs. 

  Instrumenting VMs

  The memory utilization value that is collected from an instrumented VM is based on the actual memory of the VM. The Agent collects resource consumption breakdown at process or workload level and helps you to detect specific in-guest OS level resource constraints (for example, in-guest paging due to the physical memory configuration of the VM being too low).
  BMC recommends that you instrument your business-critical VMs to collect OS-level memory usage values.
  
  To instrument a VM:
   1. Install a Capacity Agent inside the VM from which you want to collect metrics
   2. Configure the Gateway Server and Capacity Agent to initiate data collection. For more information, see Collecting-data-via-Capacity-Agents.
   3. Configure and use the out-of-the-box BMC-TrueSight-Capacity-Optimization-Gateway-VIS-files-parser to collect the required metrics from the VM.

After data collection starts, data is loaded in the data warehouse daily and Indicators are available in the Workspace.

As an Administrator, you must install the Server views and grant the necessary permissions to Capacity Planners to access these views.

Step 2. Analyze the collected data

To view and analyze the granular metrics (actual memory utilization value, workload data, and process level data) that are collected from an instrumented VM, use the Servers-Overview-view.  

The following common use cases are described here. 

Performing advanced analysis

The earlier sections explained how you can use the out-of-the-box capacity views to manage your environment. These capacity views help you analyze your standalone servers using a predefined set of metrics.

To perform advanced analysis on the imported data, such as identifying specific performance issues, trends, and bottlenecks, you can use Analysis.

Here are some use cases for which you can create and use Analyses:

For more examples, see Creating-an-analysis.

Managing future demand

By using the capacity views and analysis charts, you can analyze the data of your existing capacity. Use Models to predict service performance and obtain forecasts of historical series of metrics, including deep details on the modeling techniques used in forecasts and how to interpret the results of model runs.

Further Reading

Capacity-Pools-view