
Explore JSON Duality Views to enhance data-driven applications with Spring Boot, Quarkus, and Micronaut. Learn to optimize JSON usage across the business pipeline for improved performance and developer experience.

Explore building AI applications with LLMs using Quarkus and Langchain4j. Learn data ingestion strategies and integration with Apache Camel for comprehensive resource utilization.

Integrating cloud-native tools with Java frameworks for simplified development. Learn unified APIs, architectural patterns, and seamless local-to-production workflows using Testcontainers, Dapr, and Ngrok with Spring Boot and Quarkus.

Explore building AI applications with LLMs using Quarkus and Langchain4j. Learn data ingestion strategies and integration with Apache Camel for comprehensive resource utilization in Java-based AI development.

Explore recent Operator Framework features: Java operator scaffolding with Quarkus, custom Helm operator logic, and operator testing best practices.

Explore distributed tracing integration using OpenTelemetry for serverless functions. Learn to collect and visualize telemetry data, deploy reactive serverless functions, and leverage Jaeger for enhanced observability in complex cloud-native environments.

Explore distributed tracing integration using OpenTelemetry for serverless functions. Learn to collect and visualize telemetry data, deploy reactive serverless functions, and verify data with OpenTelemetry and Jaeger operators.

Explore integrating OpenTelemetry SDK with Instana for comprehensive application monitoring, combining traces, metrics, and logs to streamline troubleshooting in Quarkus native executables.

Learn to integrate distributed tracing with OpenTelemetry for serverless functions, collect telemetry data, and visualize metrics using Jaeger. Includes live demo and step-by-step instructions for implementation.

Explore the synergy of Machine Learning and Symbolic AI, combining data-driven insights with human-readable rules for transparent, explainable, and powerful AI applications.

Explore JSON Duality Views to enhance data-driven applications, improving developer experience and customer satisfaction across Spring Boot, Quarkus, and Micronaut frameworks.

Explore event-driven autoscaling for serverless Java on Kubernetes using KEDA and Knative, focusing on Apache Kafka metrics for efficient scaling.

Explore Konveyor AI's integration of generative AI and static code analysis for efficient Java EE to Quarkus migration, with a practical demo using the "coolstore" application.

Explore serverless Java app deployment using MicroProfile and Quarkus on Google Cloud Run. Learn to create and deploy applications with minimal infrastructure management for fast, efficient cloud-based development.

Leverage cloud technologies to automate conference photo searching using AWS services, Quarkus, and GraalVM. Learn about the benefits and challenges of implementing cutting-edge tools for image analysis.

Explore Quarkus for microservices: low memory usage, fast boot time, and seamless integration with popular Java libraries. Live demos showcase persistence, testing, and native compilation for efficient container deployment.

Modernizing rule and workflow engines for serverless environments using GraalVM and Quarkus. Practical insights on adapting Java projects for cloud compatibility and performance optimization.

Discover Quarkus: a revolutionary Java framework for ultra-fast, lightweight web applications. Learn techniques for optimizing performance, reducing resource usage, and enhancing developer experience with familiar technologies.

Explore transpilers, compilers, and GraalVM's impact on performance. Learn to identify static and dynamic code components for optimized application development and improved efficiency.

Explore GraalVM's impact on Java, Quarkus architecture, and Hibernate ORM compatibility. Learn about native images, efficiency gains, and modern platform features like live-reload support.

Explore Eclipse MicroProfile and Quarkus for building fast, efficient microservices. Learn about OpenTracing, Metrics, and how to leverage existing skills for modern architectures with low resource consumption.