InfoQ Homepage Programming Content on InfoQ
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The Journey to API Management on the Cloud
The panelists explore how to build, integrate, and expose services as managed APIs in the cloud to follow best practices and manage large deployments.
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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 APIs and Microservices in the Cloud
Stefania Chaplin discusses how to secure APIs and microservices in the cloud based on OWASP recommendations.
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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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What You Should Know before Deploying ML in Production
Francesca Lazzeri shares an overview of the most popular MLOps tools and best practices, and presents a set of tips and tricks useful before deploying a solution in production.
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GraphQL Caching on the Edge
Max Stoiber discusses why and how to edge cache production GraphQL APIs at scale.
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Secure, Performant Platform Extensibility through WebAssembly
Saúl Cabrera explores how server-side WebAssembly can be leveraged to enable synchronous, secure and performant platform extensibility.
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Analyzing Codebases for Fun and Profit
Jordan Bragg discusses using entry-points, breadth-first scanning, and operation tagging to demystify the domain, see where to dive deeper, and uncover what technical debt may exist.
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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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