InfoQ Homepage Virtual Machines Content on InfoQ
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Observe, Enhance, & Control: VMs to Containers
Mitchell Hashimoto takes a look at VMs, which solution architectures worked there, and discusses why these architectures are no longer adequate and what are the solutions in a containerized world.
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Project Jigsaw in JDK 9: Modularity Comes to Java
Simon Ritter explains the impact Jigsaw will have on developers in terms of building their applications, as well as helping them to understand how things like encapsulation will change in JDK 9.
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Modular Java Applications with OSGi
Alex Blewitt introduces modularity in general, and the choices that OSGi made in bringing modularization to the JVM. He also looks ahead and asks how OSGi and Jigsaw will evolve in the future.
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Examining Low Pause Garbage Collection in Java
John Oliver takes a look at both G1 and Shenandoah, explaining how they work, what are their limitations, providing tuning advice. He also looks at recent and future changes to garbage collection.
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Immutable Infrastructure: Rise of the Machine Images
Axel Fontaine looks at what Immutable Infrastructure is and how it affects scaling, logging, sessions, configuration, service discovery and more.
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Java 9 - The (G1) GC Awakens!
Monica Beckwith talks about G1 pause (young and mixed) composition, G1's remembered sets and collection set and G1's concurrent marking algorithm, providing performance tuning advice.
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Hot Code is Faster Code - Addressing JVM Warm-up
Mark Price explores the life cycle of Java code, and how the JVM evolves the runtime representation of code during program execution, providing tips to make sure Java code runs fast.
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Understanding HotSpot JVM Performance with JITWatch
Chris Newland discusses performance-boosting techniques used by the JVM’s JIT and introduces JITWatch, a tool helping to get the best JVM performance for a code.
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Life of a Twitter JVM Engineer
Tony Printezis presents how services are deployed and monitored at Twitter, the benefits of using a custom-built JVM, and the challenges of the use of the JVM in an environment like Twitter.
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Node4J: Running Node.js in a JavaWorld
Ian Bull introduces Node4J and explores the performance characteristics and highlights the tools that help one develop, debug and deploy Node.JS applications running directly on the JVM.
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What It Means to be Just In Time
Ashley Puls explains what happens to bytecode inside the JVM. It begins with an overview of the Just In Time (JIT) compiler and discusses JIT optimizations such as method inlining and loop unrolling.
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Explorations of the Three Legged Performance Stool
Charlie Hunt explains the three performance attributes of throughput, latency and (memory) footprint and how each of these are influenced in terms of JVM garbage collection.