
Explore Spring Boot's capabilities for developing fast, cloud-native services optimized for Kubernetes deployment, with insights from Spring Developer Advocate Josh Long.

Explore creative software design approaches, from enterprise architecture to practical implementation. Learn to involve team members, evaluate solutions, address security, and foster cross-team collaboration.

Explore how Spring Cloud simplifies cloud-native application development, empowering architects to make critical design decisions while enabling developers to implement business use cases effectively.

Explore chaos engineering to build resilient systems by simulating failures. Learn how to uncover hidden issues and improve application performance through controlled disruptions.

Simplify integration testing for microservices using Testcontainers. Learn to create isolated, Docker-based environments for databases and services, enhancing test reliability and ease of implementation.

Explore the diverse serverless landscape, including containerized apps, API gateways, orchestrators, event-driven architectures, scheduled services, and hybrid serverless-serverful solutions.

Explore Vertex AI Pipelines for streamlined MLOps workflows, covering experiment pipelining, infrastructure management, and practical examples for efficient machine learning development and deployment.

Exploring how Kubernetes and Rust can be adapted for IoT applications beyond traditional datacenters, bringing cloud technologies to real-world scenarios.

Explore how developers can use their skills to create positive change through the example of OSEW, an open-source flight monitoring system, and learn to build impactful microservices.

Explore APISIX, an Apache API Gateway, to centralize cross-cutting concerns like rate limiting and authentication for web APIs, easing development and improving architecture management.

Explore microservices architecture and PaaS implementation in a real-world healthcare project, focusing on deployment, communication, and zero-downtime strategies using OpenShift and G-Cloud.

Explore the concept of modular monoliths as an alternative to microservices, emphasizing the importance of good design principles in software architecture regardless of approach.

Explore gRPC, a high-performance RPC framework. Learn its benefits, including bidirectional streaming and multiplexing, and how to implement it in Java applications through code samples and demos.

Practical guide for developers on Docker security best practices, covering strong defaults, official images, least privilege, and microservices to enhance application security.

Explore AWS managed services for rapid development cycles, with demos and source code showcasing efficient cloud-enabled project implementation across various business scales.

Explore Google Dataflow's unified batch and stream processing model through real-time demonstrations, practical insights, and visualization techniques for managing data streams.

Explore Google's scalable Machine Learning solutions, including Vision and Speech APIs, TensorFlow, and Cloud ML. Learn about distributed training and pre-trained services for efficient AI development.

Continuous build and deployment of Java Web apps using Linux, Docker, Jenkins, and Maven on Azure and OpenShift. Learn end-to-end DevOps practices for containerized applications across multiple cloud platforms.

Explore 12 essential practices for mastering cloud-native development and deployment, enhancing your skills in modern software architecture and DevOps methodologies.

Explore serverless computing, its evolution, and impact on modern architecture. Learn about adoption strategies, refactoring techniques, and innovative technologies like Firecracker.

Explore cloud-native JVM applications with Red Hat expert Justin Lee, focusing on optimizing performance and scalability in modern cloud environments.