
Explore serverless computing's impact on cloud architectures, including MBaaS and FaaS. Learn implementation techniques with live coding demos using AWS and Apache OpenWhisk.

Learn techniques for building Java applications, particularly microservices, using Visual Studio Code. Explore workflows, tools, and best practices for Java development in a lightweight IDE environment.

Explore data challenges in microservices, using Domain Driven Design to manage complexity. Learn about transactional boundaries, CAP theorem, and technologies like Kafka and Camel for building scalable, autonomous systems.

Explore change data capture with Debezium, an open-source solution for streaming database changes. Learn implementation, use cases, and how to maintain data correctness in various scenarios.

Learn to build resilient microservices with Spring, deploy to the cloud, and create offline-capable progressive web apps using Kotlin, Spring Boot, Angular, and more. Includes live coding demonstrations.

Integrate Keycloak with Spring Boot for robust identity management. Live coding demo builds a secure app from scratch, showcasing microservices protection and REST service security.

Comprehensive guide to developing, deploying, and managing microservices using JHipster. Learn scalability, failover, monitoring, and common architecture patterns from lead developers.

Explore processing petabytes of data using Pivotal Cloud Foundry, Google Genomics, and Google Cloud Platform. Learn about microservices, service brokers, and cloud-scale data management for reliable and resilient solutions.

Explore real-time data streaming and analysis in Formula 1 racing using Apache Kafka, Spark, and Drill. Learn how to capture, process, and visualize high-volume automotive data for performance insights.

Panel discussion exploring Eclipse MicroProfile's progress in bridging Enterprise Java and Microservices, covering achievements, upcoming releases, and community proposals. Experts share insights on the project's direction and future developments.

Explore serverless computing, including MBaaS and FaaS, as the next step from microservices. Understand the landscape, benefits, and challenges of this emerging technology for cloud-native application architectures.

Explore evolutionary architecture principles for building adaptable systems. Learn to balance change and value delivery, evaluate architectural styles, and implement practices for long-term system evolution.

Esplora Kubernetes per applicazioni cloud native: architettura, risorse chiave, sviluppo pratico su Kubernetes e OpenShift, e implementazione di pratiche DevOps con Fabric8 per automazione e robustezza.

Learn the fundamentals of Apache Kafka, a powerful event streaming system for distributed architectures. Explore its key features, use cases, and practical implementation through code examples.

Explore Clean Architecture implementation using Kotlin, focusing on SOLID principles for maintainable software design. Learn pragmatic approaches and leverage Kotlin's features for efficient development.

Explore CloudFoundry and Kubernetes platforms, their operational challenges, and best usage scenarios for cloud applications and services. Learn about Project Kubo and choosing the right workload.

Explore Istio service mesh for microservices: simplify configuration, enhance discovery, load balancing, resiliency, and tracing in polyglot environments. Learn implementation and benefits.

Explore event-driven architecture's benefits in modern systems, including autonomy, scalability, and resilience. Learn design principles and practical techniques for leveraging events effectively.

Explore practical DevOps scenarios in microservices-based applications using IBM's private cloud platform with Kubernetes, featuring deployment, middleware integration, and upgrade demonstrations.

Practical guide to securing microservices using Game On! as an example. Covers OAuth2, OpenID Connect, social sign-on, and dev/production parity for distributed systems.

Explore effective memory management in microservices, including potential pitfalls and solutions for distributing memory across distributed systems. Learn about Java process memory and its impact on performance.