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Infrastructure Asset Management in Capacity Management

Infrastructure Asset Management in Capacity Management

$251.00
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What does the Infrastructure Asset Management in Capacity Management course cover?

Infrastructure Asset Management in Capacity Management is covered here in 8 modules: Strategic Alignment of Infrastructure Assets with Business Capacity Demands, Asset Inventory and Capacity Data Governance, Performance Monitoring and Baseline Establishment and 5 more. The outline lists 48 specific topics, opening with define service-level thresholds for infrastructure performance based on business transaction volume forecasts and peak usage cycles.

How do you approach Infrastructure Asset Management in Capacity Management step by step?

The work is sequenced in 8 stages. It starts with Strategic Alignment of Infrastructure Assets with Business Capacity Demands, moves through Asset Inventory and Capacity Data Governance and Performance Monitoring and Baseline Establishment, and ends at Reporting, Compliance, and Continuous Improvement. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Infrastructure Asset Management in Capacity Management course?

Module 1 is Strategic Alignment of Infrastructure Assets with Business Capacity Demands. It works through define service-level thresholds for infrastructure performance based on business transaction volume forecasts and peak usage cycles., negotiate capacity commitments with business units to establish measurable capacity planning objectives and accountability., map critical business processes to underlying infrastructure components to identify single points of capacity failure.

How is the Infrastructure Asset Management in Capacity Management course delivered?

The Infrastructure Asset Management in Capacity Management course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the Infrastructure Asset Management in Capacity Management course cost?

The Infrastructure Asset Management in Capacity Management course is $249 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: Capacity Management in Infrastructure Asset Management, Capacity Planning in IT Asset Management, Maximum Capacity in Asset Management Kit, Infrastructure Asset Management and Capacity Development.

More answers: what you get with every course, refund policy, all help answers.

This curriculum spans the full lifecycle of infrastructure asset management in capacity planning, equivalent in scope to a multi-workshop advisory engagement with ongoing internal capability development across strategy, data governance, forecasting, and operational optimization.

Module 1: Strategic Alignment of Infrastructure Assets with Business Capacity Demands

  • Define service-level thresholds for infrastructure performance based on business transaction volume forecasts and peak usage cycles.
  • Negotiate capacity commitments with business units to establish measurable capacity planning objectives and accountability.
  • Map critical business processes to underlying infrastructure components to identify single points of capacity failure.
  • Develop capacity scenarios for mergers, acquisitions, or market expansions that require rapid infrastructure scaling.
  • Integrate infrastructure capacity planning into enterprise architecture governance boards for cross-functional alignment.
  • Establish capacity risk profiles for high-impact services to prioritize investment in redundancy and scalability.

Module 2: Asset Inventory and Capacity Data Governance

  • Implement automated discovery tools to maintain an accurate, real-time inventory of physical and virtual infrastructure assets.
  • Define ownership and stewardship roles for maintaining asset data accuracy across IT operations and procurement teams.
  • Standardize naming conventions and classification schemas for assets to enable consistent capacity reporting.
  • Enforce data validation rules in the CMDB to prevent stale or duplicate asset records from skewing capacity models.
  • Integrate asset lifecycle status (e.g., in-service, decommissioned) into capacity forecasting to avoid over-provisioning.
  • Apply retention policies to historical capacity metrics to balance audit compliance with data storage costs.

Module 3: Performance Monitoring and Baseline Establishment

  • Deploy monitoring agents on critical infrastructure tiers to collect CPU, memory, disk I/O, and network throughput at five-minute intervals.
  • Establish performance baselines for each asset type using statistical analysis of 90-day utilization patterns.
  • Configure dynamic thresholds that adjust baseline alerts based on seasonal or cyclical business activity.
  • Correlate infrastructure performance data with application transaction logs to isolate capacity bottlenecks.
  • Identify and document anomalies caused by batch processing, backups, or patching windows to refine baseline accuracy.
  • Validate monitoring coverage across hybrid environments, including cloud instances and containerized workloads.

Module 4: Capacity Forecasting and Scenario Modeling

  • Apply time-series forecasting models (e.g., ARIMA, exponential smoothing) to predict infrastructure demand over 6- to 24-month horizons.
  • Adjust forecast inputs based on confirmed project pipelines, such as new application rollouts or data center migrations.
  • Model "what-if" scenarios for sudden demand spikes, such as marketing campaigns or regulatory reporting deadlines.
  • Quantify the impact of technology refresh cycles on capacity availability, including performance uplift from newer hardware.
  • Compare on-premises capacity expansion costs against cloud bursting alternatives under different load scenarios.
  • Validate forecast accuracy quarterly by comparing predictions to actual utilization and recalibrating models.

Module 5: Infrastructure Sizing and Right-Specification Practices

  • Define standard server configurations for different workload types (e.g., database, web, batch) to reduce provisioning delays.
  • Use benchmark data from existing workloads to size new infrastructure deployments with minimal over-provisioning.
  • Apply virtualization density rules based on historical host utilization to optimize VM-to-host ratios.
  • Specify storage tiering policies that align IOPS requirements with cost-effective media (SSD, HDD, object storage).
  • Size network bandwidth for east-west and north-south traffic patterns in virtualized and cloud environments.
  • Document sizing assumptions and performance requirements in technical design authorities for audit and review.

Module 6: Change Management and Capacity Impact Assessment

  • Require capacity impact assessments for all standard and emergency changes involving infrastructure modifications.
  • Integrate capacity review checkpoints into the change advisory board (CAB) process for high-risk changes.
  • Simulate the effect of proposed changes on utilization trends using historical peak load data.
  • Track capacity-related incidents post-change to refine impact assessment criteria and models.
  • Define rollback criteria for capacity-constrained environments when performance thresholds are breached after deployment.
  • Coordinate with application teams to stage load testing before production deployment of capacity-intensive releases.

Module 7: Optimization and Cost-Effective Capacity Utilization

  • Identify underutilized servers (e.g., <15% average CPU over 60 days) for consolidation or decommissioning.
  • Implement automated scaling policies for cloud workloads based on real-time utilization and cost thresholds.
  • Negotiate hardware refresh cycles based on remaining useful life and support contract expiration dates.
  • Apply power management settings to non-production environments during off-peak hours to reduce energy costs.
  • Consolidate storage snapshots and backups to free capacity while maintaining recovery point objectives.
  • Audit virtual machine sprawl by enforcing VM owner accountability and automated deprovisioning workflows.

Module 8: Reporting, Compliance, and Continuous Improvement

  • Generate monthly capacity reports for IT leadership showing utilization trends, forecast variances, and risk exposure.
  • Align capacity documentation with regulatory requirements for data center operations and audit readiness.
  • Conduct root cause analysis on capacity-related outages to update forecasting and monitoring practices.
  • Standardize KPIs for capacity management across global data centers to enable benchmarking.
  • Integrate feedback from incident and problem management into capacity model refinements.
  • Review tooling effectiveness annually to assess monitoring coverage, data accuracy, and automation capabilities.
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