InfoQ Homepage Java Content on InfoQ
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Is Your Java Application Slow? Check out These Open-Source Profilers
Johannes Bechberger focuses on understanding the basic concepts of profiling like flame graphs, usage of async-profiler and JMC, advantages and disadvantages of the different tools.
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Malignant Intelligence?
Alasdair Allen discusses the potentially ethical dilemmas, new security concerns, and open questions about the future of software development in the era of machine learning.
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Understanding Java through Graphs
Chris Seaton discusses Java’s compiler intermediate representation, to understand at a deeper level how Java reasons about a program when optimizing it.
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Java Flight Recorder as an Observability Tool
Ben Evans explains recent developments with JFR, and discusses how tooling based on JFR fits into the growing field known as Observability and some of the ongoing F/OSS work in this space.
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State of OpenTelemetry, Where Are We and What’s Next?
Michael Hausenblas discusses what problems OpenTelemetry solves, and overviews the ecosystem and status of various projects within OpenTelemetry.
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Using Shared Memory-Mapped Files in Java
Peter Lawrey discusses Unsafe in Java 8, Project Panama in Java 17 and Java 19, including pactical uses with code examples, demo using Panama, Event Sourcing using shared memory with Chronicle Queue.
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Staying JDK: Current in Production
Andrzej Grzesik discusses different perspectives towards Java upgrades and possible migration paths, how to plan and execute an upgrade, and what to expect in terms of tools, libraries and languages
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Securing Java Applications in the Age of Log4Shell
Simon Maple looks at how one can be more proactive and defensive in decisions for future Log4Shell like scenarios, considering, identifying and reducing the risk introduced into applications.
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Project Loom: Revolution in Java Concurrency or Obscure Implementation Detail?
Tomasz Nurkiewicz explores what Loom is, how it's implemented, what problems it solves, its shortcomings, and will it make reactive programming obsolete?
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JIT vs. AOT: How to Pick the Right Approach
The panelists discuss the trade-offs between the two approaches and cover scenarios where either approach is best.
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Understanding JIT Optimizations by Decompilation
Chris Seaton shows how they have developed a pseudo-code decompiler for optimized Java code, and how it helps them understand how the Java JIT compiler is working in order to improve their code.
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