Garbage Collection is a facet often disregarded and underestimated, yet beneath its surface lies the potential for profound impacts on your organization that reach far beyond the realm of application performance. In this post, we embark on a journey to unravel the pivotal role of Garbage Collection analysis and explore seven critical points that underscore its significance.
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Parallel garbage collector (Parallel GC) is one of the oldest Garbage Collection algorithms introduced in JVM to leverage the processing power of modern multi-core systems. Parallel GC aims to reduce the impact of GC pauses by utilizing multiple threads to perform garbage collection in parallel. In this article, we will delve into the realm of Parallel GC tuning specifically. However, if you want to learn more basics of Garbage Collection tuning, you may watch this JAX London conference talk.
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ZGC is a specialized garbage collector that focuses on managing large heaps and minimizing pauses in Java applications. It tackles the challenges of garbage collection in scenarios where memory-intensive workloads and consistent response times are vital. Leveraging concurrent processing capabilities and advanced algorithms, ZGC offers an effective solution for optimizing performance in modern Java applications. In this post, we will explore techniques to tune ZGC for enhanced performance specifically. However, if you want to learn more basics of Garbage Collection tuning, you may watch this JAX London conference talk.
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Automatic garbage collection is a prevalent feature in modern programming languages such as Golang, Node.js, Java, .NET, and Python. While it offers convenience to developers by automatically removing unreferenced objects from memory, it can also result in excessive CPU consumption. As applications continuously create numerous objects, the garbage collector runs continuously in the background to reclaim these objects, consuming a significant number of CPU cycles. However, measuring the exact CPU cycles consumed due to automatic garbage collection can be challenging for many developers. In this article, we will explore a few approaches to measure the CPU cycles consumed by automatic garbage collection.
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All the modern programming languages such as Golang, nodejs, Java, .net, python,…. does automatic garbage collection to remove unreferenced objects from memory. While this automatic garbage collection provides convenience to developers, it can come at a cost: excessive CPU consumption. The constant cycles devoted to garbage collection causes couple of side effects:
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3 – 4 decades back, developers were responsible for evicting (i.e., deallocating) the objects they created in applications. Business applications are quite complex, with different workflows, use cases and scenarios. Even if a developer missed releasing an object for one scenario, objects would accumulate in memory, causing memory leaks. When Java was introduced in 1995, it promised automatic garbage collection. It revolutionized memory management by shifting the responsibility of deallocating objects from developers to the Java Virtual Machine (JVM). The entire industry embraced this innovative idea, as developers no longer needed to worry about manual memory management. Since then, automatic garbage collection has become a default feature in all modern programming languages.
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ConFoo Montreal is a multi-technology conference for developers. This year , they have conducted the program to exchange knowledge and ideas from speakers all over the world. Our Architect Ram Lakshmanan was invited to give a talk on the topic: “Memory Patterns to predict production outages”
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ConFoo Montreal is a multi-technology conference for developers. This year , they have conducted the program to exchange knowledge and ideas from speakers all over the world. Our Architect Ram Lakshmanan was invited to give a talk on the topic: “Known Java APIs, Unknown Performance impact!”
Continue reading “Known Java APIs, Unknown Performance impact! – Confoo 2023”
We would like to extend our thanks to Entwinkler.de JavaMagazin for translating and publishing our article ‘Simulating and troubleshooting deadlocks in Kotlin’ in the German language. It is an honor to have our work published in a print magazine, that too in German language.
Continue reading “Simulation und Fehlerbehebung von Deadlocks in Kotlin – Bahnbrechende Deadlocks”