Red Hat Performance Tuning: Linux in Physical, Virtual, and Cloud (RH442)

Red Hat Performance Tuning: Linux in Physical, Virtual, and Cloud (RH442) develops practical capability in performance methodology, hardware and kernel behavior, CPU, memory, storage, filesystems, networking, containers, virtualization, benchmarking, workload analysis, and capacity planning.

The learning journey progresses through Performance Methodology, Architecture, Baselines, Metrics, and Workload Characterization; CPU, Memory, NUMA, Scheduling, Kernel, and Process Tuning; Storage, Filesystems, I/O, Networking, Containers, and Virtualization; Benchmarking, Bottleneck Analysis, Capacity Planning, Validation, and Handover. Each stage connects Red Hat concepts with implementation decisions, security, validation, troubleshooting, and support responsibilities.

Learners work through a senior Linux team diagnosing latency and throughput issues across mixed physical, virtual, and cloud workloads and produce a practical performance baseline, benchmark evidence, tuning plan, validation results, and capacity recommendations suitable for implementation review and operational handover.

What You Will Learn

• Explain performance methodology and baseline design within a realistic RHEL performance tuning implementation.
• Configure workload characterization and metrics using clear prerequisites and repeatable Red Hat procedures.
• Apply CPU, memory, and NUMA tuning to a production-focused RHEL performance tuning scenario.
• Validate kernel and process optimization with observable evidence and acceptance criteria.
• Troubleshoot storage and filesystem performance through targeted checks and corrective testing.
• Compare network, container, and virtualization tuning options and justify the selected approach.
• Document benchmarking and bottleneck analysis for review, support, and operational handover.
• Improve capacity planning and validation through monitoring, automation, and governance.

SkillDynamo Training Approach

Training combines course-specific demonstrations, guided Red Hat exercises, scenario analysis, validation checklists, targeted troubleshooting, and a final improvement plan for RHEL performance tuning.