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Discover how OpenTelemetry solves production issues in Java applications through real-world examples, traces, service graphs, and practical observability techniques for microservices.
Discover how to leverage Citrus Framework and OpenAPI specifications for comprehensive API testing, including client generation, realistic simulations, and automated schema validation.
Explore Java's new Gatherers interface to extend functional pipelines beyond built-in operations, covering different types, use cases, and implementation recommendations.
Discover how to secure AI applications using OWASP GenAI Security Project guidelines, threat assessment techniques, and protective measures for LLM-based products.
Explore Java's evolution from version 21 to 25, covering language enhancements, API improvements, and runtime optimizations including unnamed patterns, memory APIs, and performance boosts.
Discover how to build powerful command-line interfaces using Java with Picocli and Quarkus, including live coding and creating native executables with GraalVM.
Explore Java 25's latest features through interactive JTaccuino notebooks with AI-powered discovery using local LLMs and hands-on demos of JEPs 502, 507, 508, and 520.
Explore how Records, Sealed classes, and Pattern Matching revolutionize Java programming and enable powerful Data Oriented Programming techniques.
Discover how TornadoVM enables Java developers to harness GPU power without deep GPU programming expertise, featuring API overview, tools, and live LLM optimization demos.
Explore large-scale LLM deployment using LLM-D, a Kubernetes-based framework for distributed inference with optimized routing and cost-efficient GPU utilization.
Discover how Kiro's AI-powered IDE transforms prompts into specs, generates code, docs, and tests automatically while maintaining developer control through flexible workflows and guardrails.
Master dynamic pod resource optimization with In-Place Pod Resize (IPPR) in Kubernetes, eliminating trial-and-error allocation and enabling real-time right-sizing without restarts.
Master agent orchestration patterns in Java using LangChain4J to build controlled AI workflows with sequential, parallel, and supervisor patterns plus human validation strategies.
Explore how Java features like Project Panama's Foreign Function and Memory API and future Project Babylon capabilities empower AI development and meet evolving artificial intelligence needs.
Discover Java 25's key enhancements: unnamed patterns, flexible constructors, improved garbage collection, quantum-resistant encryption, and streamlined program launching features.
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