Performance Tuning
WLM and Performance Readouts
Translate WLM policies into operator actions when response times slip but hardware lights look green.
- Duration
- 4 weeks · virtual live
- Format
- Virtual live
- Skill level
- Intermediate
- Certification path
- Performance awareness
- Team access
- Shared cohort
- Cohort start
- 2026-09-15
Tuition reference
₩580,000
Informational only — no checkout here. Discuss invoicing, cohort packaging, or summit bundles via Contact.
Course lead
Priya Nair
Builds performance literacy modules that bridge WLM policy language and operator readouts.
Description
Performance tuning belongs to specialists, yet operators need to recognize when goals drift and what evidence to collect. This course connects service class semantics with real console indicators. You practice readouts that explain contention without blaming applications unfairly. Labs stay clear of tuning knobs that require change boards; instead you focus on observation, logging, and escalation quality.
What is included
- WLM policy walkthrough using anonymized enterprise examples
- Labs on correlating delayed jobs with service class shifts
- Script for requesting a tuning consult with complete context
- Threshold worksheet operators can own without root-cause authority
- Case study on misleading green dashboards during paging pressure
Outcomes
- Produce a performance readout consumable in a cross-team review.
- Identify when a symptom is likely WLM-related versus I/O-related.
- Escalate with logs that shorten specialist investigation time.
Participant questions
Experience notes
“The service class narrative finally helped us explain delays to apps without pointing fingers.”
“I wanted more on I/O tuning, but the escalation script alone saved us hours last month.”