VMware vSAN: Management and Operations [V7] — Lesson 3: Performance service, dashboards, latency, throughput, IOPS, congestion, cache behavior, network diagnostics, hotspot identification, and workload correlation

Learning Objectives

• Assess dependencies, controls, resilience, and the intended service outcome for Performance service, dashboards, latency, throughput, IOPS, congestion, cache behavior, network diagnostics, hotspot identification, and workload correlation.
• Demonstrate the workflow and leave reproducible evidence in performance investigation timeline and bottleneck evidence.
• Recommend a preventive improvement after resolving storage latency blamed on disks while packet loss is limiting vSAN traffic.

Detailed Topics

• Performance service
• Dashboards
• Latency
• Throughput
• IOPS
• Congestion
• Cache behavior
• Network diagnostics
• Hotspot identification
• And workload correlation
• Decision ownership, prerequisites, and acceptance evidence for Performance service, dashboards, latency, throughput, IOPS, congestion, cache behavior, network diagnostics, hotspot identification, and workload correlation
• Relevant access, security, capacity, dependency, performance, recovery, and support considerations

Instructor Demonstration

The instructor builds a representative scenario for Performance service, dashboards, latency, throughput, IOPS, congestion, cache behavior, network diagnostics, hotspot identification, and workload correlation, narrating each decision and showing how it contributes to a well-operated vSAN 7 service with controlled policies, capacity, maintenance, performance, health, fault response, upgrades, and support handover. The demonstration records performance investigation timeline and bottleneck evidence so learners can compare design intent with observable behavior.

Hands-On Exercise

Complete a guided task covering Performance service, dashboards, latency, throughput, IOPS, congestion, cache behavior, network diagnostics, hotspot identification, and workload correlation. Establish a working baseline, reproduce “storage latency blamed on disks while packet loss is limiting vSAN traffic,” isolate the responsible configuration or dependency, apply a reversible fix, and update performance investigation timeline and bottleneck evidence 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 Performance service, dashboards, latency, throughput, IOPS, congestion, cache behavior, network diagnostics, hotspot identification, and workload correlation.
• Compare at least two implementation or correction choices and identify which evidence would distinguish them.
• Decide how performance investigation timeline and bottleneck evidence should be reviewed, approved, retained, and handed to the next owner.

Troubleshooting Guidance

For a failure in Performance service, dashboards, latency, throughput, IOPS, congestion, cache behavior, network diagnostics, hotspot identification, and workload correlation, separate access, configuration, compute, network, storage, integration, and timing causes. Compare the observed sequence with performance investigation timeline and bottleneck evidence; if “storage latency blamed on disks while packet loss is limiting vSAN traffic” is confirmed, document why broader changes were rejected.

Validation Checklist

• Prerequisites and role permissions for Performance service, dashboards, latency, throughput, IOPS, congestion, cache behavior, network diagnostics, hotspot identification, and workload correlation are confirmed before execution.
• The observed result agrees with expected values documented in performance investigation timeline and bottleneck evidence.
• 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 Performance service, dashboards, latency, throughput, IOPS, congestion, cache behavior, network diagnostics, hotspot identification, and workload correlation, explain the decisions made, and defend the result with performance investigation timeline and bottleneck evidence.