intern() is an interesting function in java.lang.String object. intern() function eliminates duplicate string objects from the application and has potential to reduce overall memory consumption of your application. To understand how string intern() function works you may refer to this interesting blog. Intern strings are stored in a string pool in the JVM memory. JVM Memory has following regions:
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Recently we confronted an interesting ‘java.lang.OutOfMemoryError: Metaspace’ problem in a Microservice application. This Microservice application will run smoothly for initial few hours, later it will start to throw java.lang.OutOfMemoryError: Metaspace. In this post let me share the steps we pursued to troubleshoot this problem.
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There are a good number of articles that articulate functional differences between HashMap, HashTable and ConcurrentHashMap. This post compares the performance behavior of these data structures through practical examples. If you don’t have patience to read the entire post, here is bottom line: When you confront with the decision of whether to use HashMap or HashTable or ConcurrentHashMap, you can consider using ConcurrentHashMap since it’s thread-safe implementation, without compromise in performance.
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When we launch applications, we specify the initial memory size and maximum memory size. For the applications that run on JVM (Java Virtual Machine), initial and maximum memory size is specified through ‘-Xms’ and ‘-Xmx’ arguments. If Java applications are running on containers, it’s specified through ‘-XX: InitialRAMPercentage’ and ‘-XX: MaxRAMPercentage’ arguments. Most enterprises set the initial memory size to a lower value than the maximum memory size. As opposed to this commonly accepted practice, setting the initial memory size the same as the maximum memory size has certain ‘cool’ advantages. Let’s discuss them in this post.
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In this post let’s discuss an interesting memory problem we confronted in the production environment and how we went about solving it. This application would take traffic for a few hours after that it would become unresponsive. It wasn’t clear what was causing the unresponsiveness in the application.
Continue reading “Memory leak due to improper exception handling”
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: “Let’s crash the applications!”
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When you tune Garbage collection performance, you are not only improving Garbage collection pause time but also the overall application’s response time and reducing cloud computing cost. Recently we helped to tune the Garbage collection behavior of a popular application. Just by making a minor change, it resulted in a dramatic improvement. Let’s discuss this garbage collection tuning success story in this post.
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ConFoo Montreal is a multi-technology conference for developers. Our Architect Ram Lakshmanan has been invited there to present on the topic “16 artifacts to capture when there is a production problem“, which has secured 5th place among 155 sessions.
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Analyzing garbage collection log provides several advantages like: Reduces GC pause time, reduces cloud computing cost, predicts outages, provides effective metrics for capacity planning. To learn about the profound advantages of GC log analysis, please refer to this post. In this post let’s learn how to analyze GC logs?
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