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MySQL Performance & Tuning

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Learn essential skills
Course overview

If your role involves managing or supporting MySQL systems, this course provides the practical skills to keep these systems operating at peak efficiency. In just two days, you’ll learn how to evaluate performance issues, apply tuning strategies, and maintain consistently high-performing databases in real-world environments. 

Unlock greater speed and stability in your MySQL environment

This two-day MySQL Performance Tuning Course focuses on helping you analyse database workloads, identify bottlenecks, and implement changes that deliver measurable improvements. From fine-tuning queries to optimising hardware usage, you’ll develop a toolkit of proven methods to enhance both speed and reliability. 

Learning objectives
  • Create a tailored performance monitoring strategy 
  • Optimise hardware and OS settings for MySQL 
  • Use diagnostic and benchmarking tools effectively 
  • Analyse query execution with EXPLAIN plans 
  • Apply indexing strategies for faster lookups 
  • Reduce query execution time 
  • Adjust server parameters for optimal performance 
  • Configure and optimise the InnoDB storage engine 
  • Enhance import and export speeds 
  • Implement partitioning to manage large datasets 

What you’ll learn

On this course, you’ll gain practical skills to assess, monitor, and optimise MySQL performance. Learn to identify bottlenecks, tune queries, configure servers, and enhance storage engines. Explore advanced techniques including partitioning, multi-threading, and workload analysis, leaving you with a clear, repeatable process for maintaining efficient, reliable databases across diverse environments. 

Advanced performance topics

Expand your capabilities with advanced MySQL tuning techniques. You’ll explore how to implement multi-threading, optimise connection limits, and fine-tune performance for high-volume environments. You’ll investigate strategies for speeding up data dumping and loading, including adjusting parameters for SQL and delimited data imports. Finally, you’ll explore partitioning, from range and hash to composite methods, learning when and how to apply each approach, and how partition pruning can accelerate query execution on large datasets. 

Monitoring and analysing workloads

Learn how to continuously track MySQL performance in real time and over longer periods. You’ll work with live monitoring tools to capture CPU, memory, and disk usage trends, identify peak usage periods, and detect emerging bottlenecks before they impact users. You’ll also practise analysing historical workload patterns to inform future tuning decisions and capacity planning. 

Optimising storage and data structures

Understand how storage configuration and data organisation affect database performance. You’ll explore table optimisation techniques, assess the benefits of different storage engines, and examine how data file placement influences I/O performance. This includes practical steps for defragmenting data, reorganising tables, and ensuring efficient access paths for frequently queried information. 

Troubleshooting and resolving performance issues

Gain a structured approach to diagnosing and resolving performance slowdowns. You’ll learn how to isolate problem areas, whether they stem from inefficient queries, hardware constraints, or misconfigured settings, and apply targeted fixes. This course focuses on practical problem-solving, ensuring you can respond quickly and effectively when performance dips in production systems. 

What’s included
  • Two days of interactive training 
  • Instructor-led sessions delivered in real time 
  • Hands-on exercises in a test environment 
  • Comprehensive course materials 
  • ILX certificate of completion 
  • Flexible course delivery 
  • Content aligned with advanced MySQL certification topics 

Key facts

Ideal for

Our experienced trainers and interactive labs create a focused, practical environment – so you can put theory into practice from day one. (Do not change this copy) 

Prerequisites

A working knowledge of MySQL administration and SQL querying. Prior completion of a MySQL administration course is beneficial but not required. 

Learning experience

Our experienced trainers and interactive labs create a focused, practical environment – so you can put theory into practice from day one. 

FAQs

This interactive course gives you practical, hands-on techniques to optimise MySQL systems, backed by expert instruction and real-world scenarios. 

Will I learn about InnoDB performance tuning?

Yes. The course dedicates an entire section to optimising the InnoDB storage engine, which is MySQL’s most widely used engine for transactional workloads. You’ll learn how to configure and monitor caches and buffers to maximise throughput, set data and log file sizes for optimal I/O performance, and understand how InnoDB locking impacts concurrency.  

Is partitioning for performance included in the training?

It is. You’ll explore the full range of MySQL partitioning strategies and learn when to apply each based on workload and data structure. We’ll discuss how partitioning can improve query performance by limiting the amount of data scanned, and you’ll get hands-on experience with partition pruning to accelerate queries on very large tables.  

Does the course cover MySQL performance monitoring tools in depth?

Yes. You’ll work with MySQL’s built-in performance monitoring features, including the Information Schema, SHOW commands, and server status variables. We also cover benchmarking, load testing, and stress testing tools so you can simulate different workloads and measure the impact of your tuning changes before deploying them to production. 

Will I learn how to optimise MySQL for specific hardware setups?

Yes. The course explores how to get the most from your existing infrastructure, whether you’re running MySQL on shared hosting, dedicated servers, or cloud environments. You’ll learn how to tune for available CPU cores, RAM capacity, and storage types, as well as operating system-level optimisations that can significantly boost database performance.  

Why study with ILX
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