
Explore Event Sourcing & CQRS benefits for microservices, including reduced coupling, improved performance, simplified messaging, and enhanced governance in distributed systems.

Explore Project Loom's lightweight concurrency mechanisms for the JVM, including fibers, threads, and continuations. Learn about its implementation, efficiency improvements, and impact on asynchronous programming.

Explore techniques for troubleshooting containerized apps, addressing common issues like permissions, parameters, and volume mounts to ensure smooth operation in Kubernetes environments.

Explore alternatives to JavaScript classes, including functions, factory patterns, and object composition, for simpler, safer, and more idiomatic code.

Discover how to update a Spring Boot app on Kubernetes with database schema migration using Flyway, ensuring zero-downtime deployment and continuous service availability.

Develop high-performance, scalable Java microservices using reactive programming, LMAX Disruptor, Undertow server, and Kubernetes for cloud-native deployment strategies.

Explore TestContainers for efficient integration and end-to-end testing using Docker containers. Learn features, JUnit 5 integration, and practical demos for improved developer experience.

Discover innovative DevOps skilling through immersive Dojos, combining hands-on labs, gamification, and coaching. Learn effective techniques for workforce development and client support in the rapidly evolving tech industry.

Principles and practices of Continuous Delivery and DevOps for faster, higher-quality software development. Learn to implement rapid, reliable releases while maintaining system stability and team efficiency.

Explore Java memory usage beyond -Xmx, including native memory leaks. Learn to analyze and optimize JVM footprint for better performance in shared environments and containers.

Explore the mathematical foundations of machine learning, from basic algorithms to neural networks. Gain insights to confidently select and optimize ML models for practical applications.

Learn essential techniques to secure Spring Boot applications, including HTTPS, dependency scanning, CSRF protection, CSP implementation, OIDC authentication, and password hashing.

Explore how machine learning amplifies social biases, examine real-world examples, and discover solutions to drive positive change. Learn to assess impact and transform risks into powerful solutions.

Explore sustainable innovation strategies at bol.com, focusing on team autonomy, microservice design, CI/CD approaches, and system optimization for performance and cost-effectiveness in a high-traffic e-commerce environment.

Explore creating micro microservices and serverless apps using Spring APIs with Quarkus, leveraging GraalVM native images for rapid deployment and scaling on Kubernetes and OpenShift.

Explore common pitfalls in AI applications, including bias, adversarial attacks, ethics, and privacy concerns, to better understand the challenges and risks of autonomous decision-making systems.

Explore the evolution of Google App Engine, its security features, and the transition to new runtimes. Learn about gVisor sandbox and its impact on serverless deployments.

Explore build system security risks and mitigation strategies, including dependency verification, checksums, vulnerability detection, and build reproducibility. Learn to safeguard your development process.

Explore resilient cloud architecture patterns like graceful degradation, timeouts, and circuit breakers. Learn to embrace failure, enhance observability, and implement innovative techniques for robust software systems.

Explore machine learning for music generation using Magenta. Learn about neural networks, train models on your style, and create new rhythms, melodies, and audio clips.

Discover how developing a 2D arcade game can be an effective method for learning Clojure and functional programming, turning frustration into an engaging educational experience.