$800 Fullstack Tutorial Free With a Membership!
In this comprehensive masterclass, you’ll gain the strategies, tools, and techniques to confidently optimize Java Garbage Collection performance.
Through real-world case studies from Fortune 500 companies, you’ll discover how companies can dramatically enhance their applications’ GC efficiency. You’ll also learn nine actionable tips to fine-tune Garbage Collection in any Java environment. Proper GC tuning will not only improve your application’s response time, but also significantly reduce computing costs.
Whether you’re a developer, architect, or performance engineer, this course will equip you with the expertise to identify performance bottlenecks and boost your application’s efficiency.
The first tutorial lesson explores the importance of Garbage Collection (GC) tuning. You’ll learn what garbage is, how objects are automatically collected, and how GC affects application performance. This lesson highlights the potential side effects and benefits of tuning GC to optimize efficiency and performance. This is an essential introduction for developers aiming to improve the resource usage and performance of their applications.
The second tutorial lesson focuses on how to study and analyze GC behavior. You’ll learn about seven GC algorithms and over 600 configuration options, as well as key performance indicators for GC. This lesson covers how to enable and interpret GC logging, explore different types of GC logs, and provides guidance on analyzing log data. Finally, we will introduce a methodology for effective GC tuning, helping developers optimize memory management in their applications.
The third tutorial lesson shares nine practical GC tuning tips and tricks. You’ll learn how to start from scratch with GC optimization, study the causes of GC events, and disable explicit calls to System.gc(). This lesson covers techniques like resizing the heap and generation, choosing the right GC algorithm, and fine-tuning it for better performance. We’ll also discuss allocating sufficient system capacity and managing high object creation rates to reduce GC overhead. These tips will help you effectively optimize Garbage Collection for improved application performance.
The fourth tutorial lesson explores key memory usage patterns that can impact application performance. We’ll cover the Healthy Saw-Tooth Pattern, Heavy Caching Pattern, and the Consecutive Full GC Pattern. We’ll also discuss Acute Memory Leaks, general Memory Leaks, and MetaSpace Memory Leak Patterns, highlighting how to identify and address these issues and optimize memory management in your applications.
Ram is the founder of the popular DevOps tools GCeasy.io, fastThread.io, and HeapHero.io. Every single day, millions and millions of people in North America travel, bank, and do commerce using the applications that Ram Lakshmanan has architected. He has developed one of the world’s largest banking applications which is used by one in three US households. He has designed a B2B travel application which processes 70% of North America’s leisure travel bookings. Ram advises startups, Fortune 500 enterprises, and governmental organizations on their critical technology initiatives.