See how to use Event-Driven Ansible to monitor folders and trigger automated workflows based on file system changes — enhancing security, efficiency, and IT agility.
Explore how IIoT middleware and data streaming tools like Kafka and Flink bridge OT and IT, enabling real-time integration and smarter industrial operations.
Realizing that not all use Gradle, I thought I would demonstrate how quickly a RESTful API can be created by leveraging ChatGPT, Spring Boot, Maven, and Heroku.
When I migrated from Rails to Spring Boot, I lacked content to guide me without having to go through all of the basics of a web framework. So, I wrote this tutorial.
Prepare your Kubernetes cluster for production with high availability, private networking, robust security, monitoring, auto-scaling, backups, and fault tolerance.
Learn how to create an AI assistant with LangChain4j in a Spring Boot application, which personalizes the application itself and has access to its actuators.
Switch to event-driven architecture for resilient microservices, which includes event sourcing, CQRS, decoupling services, and robust failure handling.
GenAI-Logic is a prompt-driven approach to describing a model and logic using natural language. Create a time tracking system and post to production in less than 2 hours.
Brace yourself — Java conquers cloud-native microservices, unleashes Loom’s fast concurrency, and soars with Valhalla and Panama — future-ready and fierce!
Simplify Kafka with KRaft—ditch ZooKeeper, streamline configs for Docker and Kubernetes, and integrate easily with Spring Boot for development and deployment.
Learn to use Amazon Bedrock to build an app that sends text prompts to a model with Spring AI. This guide covers AWS setup, Spring AI config, and Bedrock integration.
Time to market can make or break any idea or solution. Check out how quickly a RESTful API can be created by leveraging ChatGPT, Spring Boot, Gradle, and Heroku.
Event-driven architecture enables scalable, real-time systems by decoupling components. Strategies for design, challenges, and maintenance are explored here.
The starter consists of hexagonal microservices (MERN monorepo, Spring Boot Camel, Flask), Gateway, Eureka, that communicate via REST, GraphQL, gRPC, and AMQP.
This article demonstrates how to integrate Kubernetes Event-Driven Autoscaling (KEDA) with App Connect Enterprise to automatically scale containers as needed.
Install CUDA on AWS GPU instances, containerize your deep learning model, and scale with ECS/EKS for cost-effective, high-performance training and inference.