
Explore serverless Java on Kubernetes: deploy Apache OpenWhisk, understand Java programming models, and discover tools for efficient serverless application development.

Explore Docker-Compose for multi-container apps, scaling with cloud infrastructure, and optimizing with Docker Swarm. Learn about persistent storage, event-based architecture, and monitoring with Elasticsearch and Grafana.

Learn to build and manage IoT devices using Raspberry Pi, Google Cloud, and serverless technologies. Explore hardware setup, data warehousing, cloud storage, and machine learning integration for IoT projects.

Explore reactive systems using Eclipse Vert.x and Kubernetes, covering microservices, service discovery, deployment, and resilience. Learn through live coding and practical demonstrations.

Learn to build event-driven microservices using Apache Kafka. Explore asynchronous communication, distributed logs, and stream processing for loosely-coupled, scalable architectures.

Discover 15 lesser-known Hibernate features to efficiently solve common development challenges, from implementing multi-tenancy to generating UUIDs as primary keys.

Explore Apache Kafka's capabilities as an event-driven streaming platform, including Kafka Connect, Streams API, and Confluent Platform components. Includes live demos and real-world applications.

Explore serverless architecture patterns, real-world challenges, and best practices for complex AWS applications. Learn about testing, debugging, monitoring, and securing serverless systems while addressing common misconceptions.

Explore advanced techniques for troubleshooting and debugging Kubernetes applications in production, including centralized logging, tracing, and live debugging tools for microservices at scale.

Live coding demonstration of building an Android app using Firebase and Kotlin, showcasing real-time features, authentication, and integration with Google Cloud Platform APIs.

Learn to create a dynamically reconfigurable, event-driven microservices platform using Apache Ignite and Docker, ensuring high availability and zero downtime for banking-grade applications.

Explore open-source serverless computing with Fn Project. Learn to write, deploy, and scale functions in multiple languages, understand platform implementation, and leverage Docker for flexibility.

Learn to build event-driven services using Apache Kafka and Kafka Streams. Explore patterns for creating scalable, stateful services with distributed logs and transactional guarantees.

Explore advanced techniques for troubleshooting and debugging microservices in Kubernetes, leveraging Google's expertise and ecosystem tools to diagnose and resolve production issues at scale.

Explore containerizing legacy apps, building a centralized Docker platform, and addressing challenges of high-density container deployment on AWS with Kubernetes integration.

Explore Fn Project, an open-source FaaS platform for building polyglot applications using a code-first approach to serverless computing.

Explore advanced deployment techniques using smart routers and feature toggles for effective A/B testing, monitoring, and hypothesis-driven development to enhance software releases.

Modernize legacy systems using Event Sourcing: Capture data with Debezium, process with Kafka Streams, and store in diverse databases for flexible, context-specific data access and improved scalability.

Explore advanced serverless architectures, patterns, and best practices for AWS Lambda, covering development, testing, debugging, monitoring, and security, while addressing common misconceptions.

Explore serverless computing: its impact on architectures, usability for MBaaS, FaaS, and microservices. Discover how this paradigm truly delivers on the cloud's pay-as-you-go promise.

Discover strategies for building resilient microservices, focusing on graceful failure handling and robust system design. Learn from real-world experiences and explore useful patterns for improved reliability.