Our Garbage collection log analysis REST API provides powerful micrometrics. Using these micrometrics, you can predict and forecast the application’s availability and performance characteristics.
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Java Virtual Machine (JVM) is the most popular programming platform in the world. It empowers thousands of enterprises to run their mission-critical applications. However, JVM is still a black box to most engineers.
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Uber focused on reducing the cost of compute capacity by improving efficiency. They saved 70K Cores Across 30 Mission-Critical Services by doing Go GC Tuning. Here, we are going to summarize how they implemented it, what they have achieved, and why GC tuning is important. If you want to read more about their highly effective, low-risk, large-scale, semi-automated Go GC tuning mechanism, you can refer to their article.
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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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DevopsCon is the the Global Conference Series for DevOps & Business Transformation held in Berlin. Our architect was invited to give a talk on the topic “16 ARTIFACTS TO CAPTURE WHEN YOUR CONTAINER APPLICATION IS IN TROUBLE”.
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