Comprehensive, hands-on training that solves real-world problems
Red Hat Performance Tuning
RH442-RHEL7-en-2-20150227
Copyright © 2015 Red Hat, Inc.
DAY ONE
DAY TWO
DAY THREE
DAY FOUR
Introduction
Hardware Profiling
Large Memory Workload Tuning
Tuning a Database Server
Collecting and Graphing
Software Profiling
CPU Intensive Workload Tuning
Power Usage Tuning
General Tuning
Using SystemTap
File Server Tuning
Tuning For Virtualization
Limiting Resource Usage
Small File Tuning
RH442-RHEL7-en-2-20150227
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Comprehensive Review
Welcome
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Course Objectives and Structure
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Copyright © 2015 Red Hat, Inc.
DAY ONE
DAY TWO
DAY THREE
DAY FOUR
Introduction
Hardware Profiling
Large Memory Workload Tuning
Tuning a Database Server
Collecting and Graphing
Software Profiling
CPU Intensive Workload Tuning
Power Usage Tuning
General Tuning
Using SystemTap
File Server Tuning
Tuning For Virtualization
Limiting Resource Usage
Small File Tuning
RH442-RHEL7-en-2-20150227
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Comprehensive Review
Orientation to Classroom Network
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Internationalization
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Copyright © 2015 Red Hat, Inc.
DAY ONE First Introduction Collecting, Graphing, and Interpreting Data General Tuning
Chapter 1: Introduction to Performance Tuning ●
What is Performance Tuning?
●
Performance-level Agreements
●
Performing System Changes
Limiting Resource Usage
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Goal:
Present a high-level overview of performance tuning and its goals.
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Objectives: • Describe Performance Tuning • Describe Performance Level Agreements • Perform system changes.
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What is Performance Tuning?
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Practice: Performance Tuning Techniques
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Performance-level Agreements
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Practice: Service-level Agreement or Performance-level Agreement
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Performing System Changes
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Practice: Steps to Take When Applying a Tuning Change
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Lab: Introduction to Performance Tuning
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Summary
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Copyright © 2015 Red Hat, Inc.
DAY ONE Introduction Collecting, Graphing, Second and Interpreting Data General Third Tuning Limiting Resource Fourth Usage
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Chapter 2: Collecting, Graphing, and Interpreting Data ●
Units and Unit Conversions
●
Profiling Tools
●
Using awk to Format Data
●
Plotting Data
●
Performance Co-Pilot
Copyright © 2015 Red Hat, Inc.
Goal:
Collect, graph, and analyze data.
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Objectives: • Convert from one unit to another • Gather and analyze data using sar, iostat, and vmstat • Format data with awk • Utilize common regular expressions with awk • Graph data with gnuplot • Gather and display data with Performance Co-Pilot
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Units and Unit Conversions
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Practice: Converting Units
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Profiling Tools
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Practice: Install and Configure sar
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Using awk to Format Data
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Practice: Formatting Data with awk
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Plotting Data
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Practice: Plotting Load-Average Data with gnuplot
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Performance Co-Pilot
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Practice: Configuring Performance Co-Pilot
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Lab: Collecting, Graphing, and Interpreting Data
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Summary
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DAY ONE Introduction Collecting, Graphing, Second and Interpreting Data General Third Tuning Limiting Resource Fourth Usage
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Chapter 3: General Tuning ●
Queueing Theory
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Configuring System Tunables
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Installing and Enabling tuned
●
Creating Custom tuned Profiles
Copyright © 2015 Red Hat, Inc.
Goal:
Describe the basics of performance tuning.
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Objectives: • Describe the basics of queueing theory • Configure system tunables • Deploy the automatic tuning daemon tuned • Create a customized tuned profile
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Queueing Theory
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Practice: Queueing Theory
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Configuring System Tunables
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Practice: Configuring System Tunables
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Installing and Enabling tuned
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Practice: Installing and Enabling tuned
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Creating Custom tuned Profiles
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Practice: Creating Custom tuned Profiles
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Lab: General Tuning
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Summary
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DAY ONE Introduction Collecting, Graphing, Second and Interpreting Data
Chapter 4: Limiting Resource Usage ●
●
General Third Tuning
Configuring POSIX Resource Limits Understanding Control Groups
Limiting Resource Fourth Usage
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Goal:
To allocate resources for best perfomance by limiting resource usage.
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Objectives:
• Configure POSIX resource limits • Describe Linux Control Groups
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Configuring POSIX Resource Limits
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Practice: Configuring POSIX resource limits
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Understanding Control Groups
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Practice: Configure systemd CGroup Limits
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Lab: Limiting Resource Usage
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Summary
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DAY TWO Introduction Hardware Profiling Collecting, Graphing, Software Second Profiling and Interpreting Data Using General Third SystemTap Tuning
Chapter 5: Hardware Profiling ●
Generating a Hardware Profile
●
Profiling Storage
Limiting Resource SmallFourth File Tuning Usage
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Goal:
Describe and use tools to generate a hardware profile.
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Objectives:
• Generate a hardware profile • Profile a storage system
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Generating a Hardware Profile
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Practice: Generating a Hardware Profile
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Profiling Storage
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Practice: Profiling Storage
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Lab: Hardware Profiling
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Summary
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DAY TWO Hardware Profiling Software SystemTap Profiling
Chapter 6: Software Profiling ●
●
Using Small File SystemTap Tuning Large Memory Small File Tuning Workload Tuning
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CPU Scheduling Tracing System and Library Calls Profiling CPU Cache Usage
Copyright © 2015 Red Hat, Inc.
Goal:
To describe and use the basic tools for generating a software performance profile.
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Objectives: • Describe and influence CPU scheduling • Trace system and library calls for a process • Profile how the various CPU caches are used by applications
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CPU Scheduling
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Practice: CPU Scheduling
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Tracing System and Library Calls
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Practice: Tracing System and Library Calls
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Profiling CPU Cache Usage
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CORE 0 Latency
HT
HT L1 d
L1: 3 cycles
L1 i
L2: 15 cycles
L2
Main: 160 cycles
Main Memory
32 kiB 64 lines / 8-way
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CORE 1 HT L1 i
32 kiB 32 lines / 4-way
32 kiB 64 lines / 8-way
4 MiB 64 lines / 16-way
4 GiB
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HT L1 d 32 kiB 32 lines / 4-way
CORE 0 Latency
HT
HT L1 d
L1: 4 cycles
L1 i
L2: 11 cycles
L2
L3: 39 cycles
L3
Main: 107 cycles
Main Memory
32 kiB 64 lines / 8-way
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CORE 1 HT
L1 d
L1 i
32 kiB 32 lines / 4-way
2 MiB 64 lines / 8-way
32 kiB 64 lines / 8-way
L2
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32 kiB 32 lines / 4-way
2 MiB 64 lines / 8-way
8 MiB 64 lines / 16-way
24 GiB
HT
CORE 0 HT L1 L2 L3
CORE 1
HT miss miss
miss
HT
line fill line fill line fill
Main
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HT
CORE 0 HT
CORE 1
HT
HT
L1
miss
L2
miss
hit line fill line fill
L3
snoop
miss
hit
Main
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HT
CORE 0 HT
CORE 1
HT
HT
L1 write
L2 write
L3 write
Main write
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HT
CORE 0 HT
CORE 1
HT
HT
HT
L1 write
L2 write
L3 write
Main write
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write stops here until evicted from this cache
Cache
Main memory
Cache line 0 Cache line 1 Cache line 2
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Cache
Main memory
Cache line 0 Cache line 1
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Cache
Main memory
Cache line 0 Cache line 1 Cache line 2 Cache line 3
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Practice: Profiling CPU Cache Usage
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Lab: Software Profiling
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Summary
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DAY TWO Hardware Software Profiling Profiling Software Second Profiling
Chapter 7: Using SystemTap ●
Introduction to SystemTap
●
Running SystemTap Scripts
●
Using Third SystemTap
Deploying SystemTap Instrumentation Modules
Large Memory SmallFourth File Tuning Workload Tuning
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Goal:
Provide experience building and running SystemTap instrumentation modules.
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Objectives: • Install software required to compile and run SystemTap modules. • Use the stap and staprun commands to compile and run SystemTap modules. • Provide additional permissions to users to run compiled SystemTap modules.
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Introduction to SystemTap
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Practice: Installing SystemTap
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Running SystemTap Scripts
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Practice: Running SystemTap Scripts
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Deploying SystemTap Instrumentation Modules
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Practice: Deploying SystemTap Instrumentation Modules
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Lab: Using SystemTap
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Summary
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DAY TWO Hardware Software Profiling Profiling Software Second Profiling Using Small Third File SystemTap Tuning
Chapter 8: Small File Tuning ●
Analyzing a Small File Workload
●
Selecting a File System
●
Tuning for a Mail Server
Large Memory SmallFourth File Tuning Workload Tuning
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Goal:
Analyze a workload involving frequent reads and writes to small files.
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Objectives: • Analyze a workload involving frequent reads and writes to small files. • Select a file system based on performance criteria. • Tune specific settings for a mail server.
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Analyzing a Small File Workload
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Practice: Analyzing a Small File Workload
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Selecting a File System
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Practice: Selecting a File System
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Tuning for a Mail Server
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Quiz: Tuning for a Mail Server
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Lab: Tuning for Small File Workload
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Summary
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DAY THREE Large Memory Software Profiling Workload Tuning CPU Intensive Second Workload Tuning File Server ThirdTuning
Chapter 9: Large Memory Workload Tuning ●
Memory Management
●
Finding Memory Leaks
●
Tuning Swap
●
Managing Memory Reclamation
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Managing Non-Uniform Memory Access
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Goal:
To tune a server for a large memory workload.
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Objectives: • Describe how the Linux kernel manages memory. • Investigate memory leaks. • Tune swap usage of a system. • Configure how the Linux kernel reclaims unused memory. • Manage NUMA for optimal memory speeds.
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Memory Management
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add entry to TLB and continue...
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Practice: Memory Management
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Finding Memory Leaks
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Practice: Finding Memory Leaks
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Tuning Swap
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Practice: Tuning Swap
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Managing Memory Reclamation
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Practice: Managing Memory Reclamation
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Managing Non-Uniform Memory Access
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Practice: Managing Non-Uniform Memory Access
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Lab: Large Memory Workload Tuning
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Summary
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DAY THREE Large Memory Workload Tuning
Chapter 10: CPU Intensive Workload Tuning
CPU Intensive File Server Tuning Workload Tuning
●
Tuning Tuning a File Server Database Server
●
Pinning Processes
●
Balancing Interrupts
●
Realtime Scheduling
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Limiting CPU Usage with CGroups
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Goal:
To tune a server for a CPU intensive workload
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Objectives: • To limit the amount of CPU available to processes • To limit on which CPUs a process can run • To limit which CPUs get used for interrupt handling • To employ realtime scheduling polcies
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Limiting CPU Usage with CGroups
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Practice: Limiting CPU Usage with CGroups
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Pinning Processes
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Practice: Pinning Processes
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Balancing Interrupts
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Practice: Balancing Interrupts
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Realtime Scheduling
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Practice: Realtime Scheduling
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Lab: Tuning for a CPU Intensive Workload
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Summary
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DAY THREE CPU LargeIntensive Memory Workload Tuning CPU Intensive Second Workload Tuning File Server ThirdTuning
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Chapter 11: File Server Tuning ●
Selecting a Tuned Profile for a File Server
●
File System Performance
●
Network Performance Tuning
●
Tuning Network Queues
●
Bonding and Link Aggregation
Copyright © 2015 Red Hat, Inc.
Goal:
To tune a server for a workload involving network transmission of larger files.
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Objectives: • Select a tuned profile for a file server workload • Configure an external ext4 journal • Measure network performance • Calculate and implement BDP • Configure 802.3ad link aggregation
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Selecting a Tuned Profile for a File Server
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Practice: Selecting a Tuned Profile for a File Server
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File System Performance
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Practice: File System Performance
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Network Performance Tuning
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Practice: Network Performance Tuning
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Tuning Network Queues
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Practice: Tuning Network Queues
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Bonding and Link Aggregation
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Practice: Configuring Network Teaming
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Lab: File Server Tuning
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Summary
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DAY FOUR CPU Tuning Intensive a Workload Tuning Database Server
Chapter 12: Tuning a Database Server ●
Power Second Usage Tuning Tuning For Third Virtualization Comprehensive Review
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●
Analyzing a Database Server Workload Managing Inter-Process Communication
●
Managing Hugepages
●
Overcommitting Memory
Copyright © 2015 Red Hat, Inc.
Goal:
To tune a server for a database workload.
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Objectives: • Select a tuned profile to support database usage. • Examine and tune System V IPC mechanisms. • Improve memory performance by creating and managing huge pages. • Adjust memory overcommit, swappiness, and dirty page management.
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Analyzing a Database Server Workload
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Practice: Analyzing a Database Server Workload
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Managing Inter-Process Communication
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Practice: Managing Inter-Process Communication
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Managing Hugepages
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Practice: Managing Hugepages
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Overcommitting Memory
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Practice: Overcommitting Memory
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Lab: Database Server Tuning
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Summary
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DAY FOUR Tuning a Database Server Tuning For Power Usage Tuning Virtualization Tuning For Comprehensive Virtualization Review Comprehensive Review
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Chapter 13: Power Usage Tuning ●
●
Power Saving Strategies Power Usage Profiling and Tuning
Copyright © 2015 Red Hat, Inc.
Goal:
To tune a server for power-efficient operation.
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Objectives:
• Tuning a system for efficient power usage. • Profiling and tuning power usage.
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Power Saving Strategies
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Practice: Power Saving Strategies
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Power Usage Profiling and Tuning
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Practice: Power Usage Profiling and Tuning
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Lab: Power Usage Tuning
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Summary
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DAY FOUR Tuning a Power Usage Tuning Database Server Power Usage Tuning Tuning for Virtualization
Chapter 14: Tuning for Virtualization ●
Tuning Virtualization Hosts
●
Tuning Virtual Guests
Comprehensive Review
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Goal:
To tune virtualization hosts and guests.
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Objectives: • Configuring tuned profiles • Pinning guests to use specific host CPUs • Enabling Kernel Samepage Merging (KSM) • Assigning resource limits to guests
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Tuning Virtualization Hosts
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Practice: Tuning Virtualization Hosts
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Tuning Virtual Guests
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Practice: Tuning Virtual Guests
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Lab: Virtualization Tuning
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Summary
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DAY FOUR Tuning a Power Usage Tuning Database Server Tuning For Power Second Usage Tuning Virtualization Tuning for Third Virtualization Comprehensive Review
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Chapter 15: Comprehensive Review ●
Red Hat Performance Tuning Comprehensive Review
Copyright © 2015 Red Hat, Inc.
Goal:
To practice and demonstrate knowledge and skills learned in Red Hat Performance Tuning.
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Objectives:
• Review the course chapters to reinforce knowledge and skills.
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Red Hat Performance Tuning Comprehensive Review
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Lab: Red Hat Performance Tuning Comprehensive Review
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Thank you for attending this Red Hat Training Course! To plan your learning path: https://www.redhat.com/training/paths/linux-development.html
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Copyright © 2015 Red Hat, Inc.
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