Explore the flexibility, scalability, and efficiency of cloud-native architecture compared to monolithic architecture, and learn the challenges of implementing.
AI microservices, Kubernetes, and Kafka enable scalable, resilient intelligent applications through modular architecture and efficient resource management.
Find out how using Java Spring Boot WebFlux with R2DBC allows developers to build high-performance, reactive REST APIs with non-blocking database connections.
Stateful, distributed, containerized applications require real-time monitoring of cluster changes. Learn how EndpointSlices API provides a scalable solution.
Continue with this series to learn how to overcome the two shortcomings of using automatic checkpoint and restore by performing the checkpoint on-demand.
Hardware and software are evolving in parallel, and combining the best of modern software development with the latest Arm hardware can yield impressive results.
Traditional API management solutions struggle to keep pace with the distributed nature of Kubernetes. Dive into some solutions for efficient Kubernetes-native API management.
Dive into these two technologies, understanding where they overlap, and where their strengths can be used together to achieve your microservices goals.
Using AI tools to help design, develop, modify, and deliver a microservice application requires the collaboration of stakeholders, SMEs, developers, and DevOps.
Learn how to build generic, easily configurable, testable reactive consumers, producers, and DLT with Kotlin, Spring Boot, WebFlux, and Testcontainers.
The article discusses the need for streaming data processing and evaluates available options. It explains that one size fits all is approach is not appropriate.
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