Managing the capacity of your IBM Cloud infrastructure

As a Capacity Planner or IBM Cloud Technology Specialist, you can use BMC Helix Continuous Optimization to configure, administer, and manage the capacity of your IBM Cloud infrastructure.

As the flow diagram illustrates, the data source (IBM Cloud API ETL) collects data from the IBM Cloud Management console. The collected data is transferred to Continuous Optimization 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 IBM Cloud infrastructure. 

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What can you do with BMC Helix Continuous Optimization?


The following sections describe how you can achieve these goals:

Managing the capacity of IBM Cloud infrastructure

You can analyze and manage the capacity of your IBM Cloud infrastructure elements by using the IBM Virtual Servers view. For the IBM Cloud data to be available in the view, the Administrator must first set up the data sources to collect data. 

Task 1. Collect data and install the views

As an Administrator, you can use the IBM Cloud - IBM Cloud API Extractor for Classic Infrastructure to collect data from the IBM Virtual Servers (VMs):

  • Configure and run this ETL to collect the required configuration and performance metrics from the virtual server instances.

  • In addition to the required metrics collected by using the IBM Cloud API Extractor, you can provision a virtual server with the Sysdig agent for Linux and Windows respectively, to collect additional performance metrics from them. These metrics are useful for gaining operational visibility into the performance and health of your applications, services, and platforms. The Sysdig agent collects these metrics and sends them to Sysdig instance. When you run the IBM Cloud API ETL, these metrics are imported into the BMC Helix Continuous Optimization database. For more information, see Collecting additional metrics using the Sysdig agent.

(Optional) You can also use BMC - TrueSight Capacity Optimization Gateway VIS files parser to collect additional metrics at a higher granularity. Before you use this ETL, you must instrument the 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 Continuous Optimization Agent inside the VM from which you want to collect metrics
  2. Configure the Gateway Server and Continuous Optimization Agent to initiate data collection. For more information, see Collecting data via Continuous Optimization 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 daily and Indicators are available in the Workspace.

As an Administrator, you must install the IBM Cloud views and Business Services view and grant the necessary permissions to Capacity Planners and IBM Cloud Technology Specialists to access these views. While creating the service pools, ensure to select IBM Cloud domains to view IBM Cloud only data.

Task 2. Analyze the collected data

For detailed analysis of IBM Cloud infrastructure elements, use the IBM views

The following common use cases are described here:

Understand the usage and health of your IBM Cloud Virtual Servers

Review and analyze the Virtual Servers page in the IBM Virtual Servers view to determine the usage and health of your virtual servers.

From the Instance Name filter, select the instance that you want to view data for detailed analysis.

Determine and analyze the available resources and their utilization per Virtual Server instance

Review and analyze the relevant metrics on the Virtual Servers page in the IBM Virtual Servers view to determine the available resources and their utilization per instance. For example, utilization metrics for CPU, Memory, and File Systems.

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 IBM Cloud infrastructure using a predefined set of metrics.

To perform advanced analysis on the imported IBM Cloud 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:

Analyze the memory usage of IBM Cloud virtual servers

The following video (2:20) illustrates how to analyze the memory usage of IBM Cloud virtual servers using an analysis.

 https://youtu.be/sNXMa0jzTCE

Analyze the resource utilization pattern of IBM Cloud virtual servers

The following video (3:10) illustrates how to analyze the resource utilization pattern of IBM Cloud resources using an analysis.

 https://youtu.be/XQeqwFsT6lw 

Managing future demand

By using the capacity views and analysis charts, you can analyze the data of your existing capacity. To predict and plan your IT resource needs, use Models.

Predicting the behavior of your resources

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. For more information, see Modeling capacity usage.

How to determine when a resource of an IBM Cloud virtual server instance reaches threshold

The following video (3:11) illustrates how to predict the behavior of IBM Cloud resources using models.

 https://youtu.be/WjP66REj67A 




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