
Explore modern API technologies beyond REST, including GraphQL, gRPC, and RSocket, with code examples and live demonstrations for Spring and Spring Boot implementations.

Explore Spring Cloud's latest features: Kotlin support, Cloud Events, gRPC, RSocket, AWS Lambda enhancements, streaming solutions, and improved observability. Learn about HTTP clients, routing, and native image support.

Explore change data capture with Debezium for reliable microservices integration using Apache Kafka. Learn practical applications, best practices, and use cases for seamless data streaming in Spring Boot applications.

Explore Spring's integration with Amazon DynamoDB, covering architecture, migration challenges, and advanced querying techniques. Gain insights into efficient table design and leveraging Spring in AWS Lambda functions.

Explore data architectures for microservices, focusing on DataMesh implementation, challenges, and solutions in a large online travel agency's journey to optimize data sharing and management.

Explore advanced Spring Kafka concepts, real-world scenarios, and best practices for production-ready applications. Learn to handle exceptions, implement testing strategies, and monitor performance effectively.

Explore Spring Boot's capabilities for developing fast, cloud-native services on Kubernetes. Learn how to efficiently create scalable applications for modern production environments.

Explore configuration and service discovery options for Spring Boot apps on Kubernetes. Compare approaches, understand pros and cons, and learn best practices through live demos and code examples.

Explore cloud-native functions with Knative and Spring Native. Learn to implement serverless workloads, handle events, and optimize Java applications for Kubernetes environments.

Discover how AWS SnapStart boosts Java function performance on Lambda, reducing cold starts by up to 10x. Learn implementation tips for faster serverless Spring application initialization.

Insights on developing modular Spring Boot libraries for large-scale use, covering design practices, engineering routines, community building, and lifecycle management.

Live demonstration of cloud architecture attacks and defenses, showcasing real-world security challenges and mitigation strategies using modern open-source tools in Kubernetes environments.

Explore key patterns and technologies for securing service-to-service communication, including API Gateways, Service Mesh, SPIFFE, mTLS, JWT, and OpenID Connect, with Spring-based demos and practical implementations.

Explore techniques to enhance developer productivity on Kubernetes using Spring Boot, focusing on efficient local development, continuous integration, and streamlined deployment with tools like Tilt, Knative, and Cartographer.

Learn to deploy Spring Web @Controller services on serverless platforms like AWS Lambda and Azure Functions, enabling scale-to-zero and pay-as-you-use benefits without code changes.

Efficient local development and testing of AWS-powered Spring Boot applications using LocalStack, enabling faster iterations and cost savings while maintaining production-like behavior.

Explore multitenancy in Spring Boot through a detective mystery. Learn to implement data isolation, security, and observability using Java, Hibernate, and Keycloak for modern SaaS applications.

Explore Dapr's Cloud-Native interfaces for efficient, language-agnostic distributed application development, focusing on Spring Boot integrations and live Kubernetes demos.

Explore how Spring Cloud Contract and Testcontainers enhance API testing, service evolution, and deployment processes for cloud-native applications through practical demonstrations and code examples.

Discover Azure Spring Apps, a managed service simplifying cloud-scale Spring deployment. Learn its capabilities through technical overviews and demos for effortless infrastructure management and application lifecycle.

Explore building production-ready applications with Spring and Apache Pulsar, leveraging auto-configuration, templates, and listeners for efficient distributed messaging and data streaming in cloud-native environments.