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Jamf Pro Performance Tuning - Extension Attribute Audit for Faster IT Inventory Management

Jamf via YouTube

Overview

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Learn to dramatically improve Jamf Pro performance through systematic extension attribute auditing in this conference talk from JNUC 2025. Discover how to identify slow-running extension attributes that impact inventory management and implement optimization strategies achieving 7x to 185x performance improvements. Master the "aggregation of marginal gains" philosophy where small 1% improvements compound to create 9x-37x performance gains over time for Mac fleet management. Establish performance baselines using the macOS time command and Self Service duration displays to measure script execution times accurately. Explore the Pareto principle applied to extension attributes, identifying how 20% of EAs typically cause 80% of execution time overhead. Implement EA frequency code wrappers to control time-intensive script execution and reduce server load. Set up Jamf Pro API credentials securely in macOS keychain for automated auditing processes. Use GitHub-hosted EA download and execute audit scripts to systematically evaluate your environment's extension attribute performance. Optimize individual extension attributes through conditional logic, such as checking plists before executing resource-intensive commands. Apply real-world optimization techniques demonstrated through case studies showing 45x improvement for SSID detection and 185x improvement for pending software updates checking. Learn strategic approaches for disabling underutilized extension attributes to reduce inventory overhead and improve overall system performance. Gain practical insights for managing large Mac fleets more efficiently while reducing network overhead and server load through systematic performance tuning methodologies.

Syllabus

0:00 Introduction: Jamf Pro Performance Tuning with Extension Attribute Audit
1:37 Aggregation of Marginal Gains: 1% Daily Improvement = 9x-37x Annual Performance
4:43 Establishing Baseline: macOS Time Command and Self Service Duration Display
8:36 EA Audit GitHub Repository and API Credential Setup
13:05 Live Demo: EA Download Script with Keychain Storage
15:06 Live Demo: EA Execute Script on Physical Hardware
21:08 Optimizing Single EA: Pending Software Updates Plist Check Before Command
25:11 EA Frequency Code Wrapper: Controlling Time-Intensive Script Execution
29:33 Findings: 80/20 Rule, 45x SSID Improvement, 185x Pending Updates Improvement
32:38 Optimization Strategies and Q&A: Fine-Tuning, Disabling, Enrollment Performance

Taught by

Jamf

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