VMware vSphere: Advanced Administration [V8] — Lesson 3: Resource pools, reservations, shares, limits, DRS rules, predictive DRS concepts, HA policies, fault tolerance, vMotion optimization, and capacity management

Learning Objectives

• Assess dependencies, controls, resilience, and the intended service outcome for Resource pools, reservations, shares, limits, DRS rules, predictive DRS concepts, HA policies, fault tolerance, vMotion optimization, and capacity management.
• Demonstrate the workflow and leave reproducible evidence in resource-governance model and failure-recovery simulation.
• Recommend a preventive improvement after resolving a restrictive VM-host rule preventing evacuation during maintenance.

Detailed Topics

• Resource pools
• Reservations
• Shares
• Limits
• DRS rules
• Predictive DRS concepts
• HA policies
• Fault tolerance
• VMotion optimization
• And capacity management
• Decision ownership, prerequisites, and acceptance evidence for Resource pools, reservations, shares, limits, DRS rules, predictive DRS concepts, HA policies, fault tolerance, vMotion optimization, and capacity management
• Relevant access, security, capacity, dependency, performance, recovery, and support considerations

Instructor Demonstration

The instructor builds a representative scenario for Resource pools, reservations, shares, limits, DRS rules, predictive DRS concepts, HA policies, fault tolerance, vMotion optimization, and capacity management, narrating each decision and showing how it contributes to an advanced vSphere administration practice that automates repeatable work, protects configuration consistency, optimizes resources, strengthens availability, and resolves complex operational issues. The demonstration records resource-governance model and failure-recovery simulation so learners can compare design intent with observable behavior.

Hands-On Exercise

Complete a guided task covering Resource pools, reservations, shares, limits, DRS rules, predictive DRS concepts, HA policies, fault tolerance, vMotion optimization, and capacity management. Establish a working baseline, reproduce “a restrictive VM-host rule preventing evacuation during maintenance,” isolate the responsible configuration or dependency, apply a reversible fix, and update resource-governance model and failure-recovery simulation with before-and-after proof.

1. Map the current workflow and mark where the expected result can first be observed.
2. Run the scenario while preserving timestamps, object identifiers, and relevant output.
3. Apply a reversible correction only after evidence supports the cause.
4. Retest the original case plus an unaffected case and update the handover record.

Scenario Analysis

• Clarify the service trigger, affected components and roles, prerequisites, and acceptable result for Resource pools, reservations, shares, limits, DRS rules, predictive DRS concepts, HA policies, fault tolerance, vMotion optimization, and capacity management.
• Compare at least two implementation or correction choices and identify which evidence would distinguish them.
• Decide how resource-governance model and failure-recovery simulation should be reviewed, approved, retained, and handed to the next owner.

Troubleshooting Guidance

For a failure in Resource pools, reservations, shares, limits, DRS rules, predictive DRS concepts, HA policies, fault tolerance, vMotion optimization, and capacity management, separate access, configuration, compute, network, storage, integration, and timing causes. Compare the observed sequence with resource-governance model and failure-recovery simulation; if “a restrictive VM-host rule preventing evacuation during maintenance” is confirmed, document why broader changes were rejected.

Validation Checklist

• Prerequisites and role permissions for Resource pools, reservations, shares, limits, DRS rules, predictive DRS concepts, HA policies, fault tolerance, vMotion optimization, and capacity management are confirmed before execution.
• The observed result agrees with expected values documented in resource-governance model and failure-recovery simulation.
• Exceptions are explained with evidence instead of being hidden by manual correction.
• The final record names the approver, monitoring point, and next improvement action.

Lesson Outcome

Learners can apply Resource pools, reservations, shares, limits, DRS rules, predictive DRS concepts, HA policies, fault tolerance, vMotion optimization, and capacity management, explain the decisions made, and defend the result with resource-governance model and failure-recovery simulation.