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Product Overview

Dynamic Capacity Intelligence is architected around a modular design, comprising a monitoring agent, an analysis engine, and an automation component. The monitoring agent collects performance data from z/OS using SMF data. This data is then fed into the analysis engine, which determines optimal capacity allocations based on predefined policies and thresholds.

The automation component dynamically adjusts CPU resources using z/OS system commands. The system communicates internally via APIs and message queues. The monitoring agent communicates with the analysis engine to send performance data.

The analysis engine communicates with the automation component to trigger capacity adjustments. The system integrates with z/OS security systems for authentication and authorization. It also integrates with existing systems management tools for monitoring and reporting.

The system's configuration is managed through configuration files and a web-based interface. Key configuration parameters include thresholds for CPU utilization, policies for capacity allocation, and definitions of LPAR groups. The system supports role-based access control (RBAC) to manage user permissions.

Alternatives include manual capacity planning or other automation tools like BMC AMI Ops Automation for Capping, but Dynamic Capacity Intelligence focuses specifically on VWLC/AWLC reduction through automated balancing.

Frequently Asked Questions

What does Dynamic Capacity Intelligence do?

Dynamic Capacity Intelligence monitors and automatically balances CPU capacity across LPARs in a z/OS environment. It helps organizations minimize VWLC and AWLC software costs while maintaining service level agreements.

Is this a system, application, or tool?

This is a system designed to actively manage and optimize CPU resource allocation. It provides continuous monitoring and automated adjustments to ensure efficient utilization of mainframe resources.

What types of organizations use this?

Organizations that rely heavily on IBM z/OS mainframes and want to optimize their software licensing costs are ideal candidates. This includes enterprises in industries like banking, finance, insurance, and government.

When should we consider Dynamic Capacity Intelligence?

Consider using Dynamic Capacity Intelligence when your organization experiences fluctuating workloads on its mainframe, leading to potentially high VWLC or AWLC charges. It is also beneficial when you want to automate CPU capacity balancing and reduce manual intervention.

What are the alternatives to Dynamic Capacity Intelligence?

Alternatives include BMC AMI Ops Automation for Capping and other manual or automated capacity management solutions. However, Dynamic Capacity Intelligence provides automated balancing to minimize licensing costs.

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