AWS CDK: Infrastructure as Abstract Data Types - Part 3
In this 3rd and last part of our AWS CDK cycle, we’ll be demonstrating several more advanced CDK techniques with Quarkus.
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Dzone
AWS CDK: Infrastructure as Abstract Data Types - Part 2
In this 2nd part on the AWS CDK series we introduce Quarkus, the supersonic, subatomic Java stack, and we’ll see how to implement CDK applications in Quarkus.
AWS CDK: Infrastructure as Abstract Data Types - Part 1
This article is the first one in a series of three articles on AWs CDK (Cloud Development Kit). In this first part we’ll look at the anatomy of a CDK applica...
Amazon BedRock: Leveraging Foundation Models with Quarkus and AWS Lambda
Bedrock is the new Amazon service that democratizes the users’ access to the most up-to-date Foundation Models (FM) of the highest-ranked AI actors.
Leveraging the LLMs Power with Quarkus and LangChain4j
This post attempts to demystify the use of LLMs in Java, with Quarkus and LangChain4j, across a ludic and hopefully original project.
CRUDing NoSQL Data with Quarkus, Part Two: Elasticsearch
Part 2 of this series focuses on Elasticsearch, a distributed NoSQL database and search engine built on Apache Lucene.
CRUDing NoSQL Data with Quarkus, Part One: MongoDB
This article demonstrates how Quarkus, the supersonic, subatomic Java stack, greatly simplifies the NoSQL data persistence with MongoDB.
Jakarta Security 3.0: Identity Stores with Payara
Jakarta EE Security (formerly JSR 375) introduces the notion of identity stores. Here, you can see how these identity stores are implemented by Jakarta EE co...
From J2EE to Jakarta EE
Discover why Jakarta EE, with the industry-wide adoption of microservices-based architectures, has become one of the most popular Java server-side frameworks.
Micro Frontends for Quarkus Microservices
Similar to the concept of Microservice, the term of Micro Frontend isn’t as well known as the first one. This article aims at demystifying it.
Microservices With Apache Camel and Quarkus (Part 5)
After learning how to run our microservices in Minikube in Part 3 of this series, let’s look at how to do the same in OpenShift.
Microservices With Apache Camel and Quarkus (Part 4)
After learning how to run our microservices in JVM mode in Part 2 of this series, let’s now look at how to do the same in native mode.
Microservices With Apache Camel and Quarkus (Part 3)
In Part 1 and Part 2, you’ve seen how to run microservices as Quarkus local processes. Let’s now look at some K8s-based deployments, starting with Minikube.
Microservices With Apache Camel and Quarkus (Part 2)
In a previous post I have demonstrated a very convenient microservices implementation approach using Apache Camel and Quarkus. In this 2nd Part you’ll see ho...
Microservices With Apache Camel and Quarkus
This post proposes a microservices deployment model based on Camel, using a Java development stack, Quarkus as a runtime, and K8s as a cloud-native platform.
AWS: Pushing Jakarta EE Full Platform Applications to the Cloud
In this article, readers will learn how to deploy more complex Jakarta EE applications as serverless services with AWS Fargate.
AWS: Integrating OpenAPI With the Amazon API Gateway and Lambda Functions
Learn how to use OpenAPI to adopt an IaC approach consisting in defining an API in a repeatable and deterministic manner.
Spring Boot vs Eclipse MicroProfile: Resident Set Size (RSS) and Time to First Request (TFR) Comparative
Readers will learn about Spring Boot and Eclipse MicroProfile, including a comparison of the essential metrics in the same web application and guide code.
Deploying Java Serverless Functions as AWS Lambda
Learn about SAM (superset of CloudFormation) including some special commands and shortcuts to ease Java serverless code development, testing, and deployment.
AWS Fargate: Deploying Jakarta EE Applications on Serverless Infrastructures
This article demonstrates how to alleviate the Jakarta EE run-times, servers, and applications, by deploying them on AWS Serverless infrastructures.
IBM Cloud: Deploying Payara Services on OpenShift
This article demonstrates how to deploy Payara Applications on OpenShift using S2I (Source to Image) Builders.
Kafka Integration With Spring Cloud
Spring Cloud is a Spring project which aims at providing tools for developers helping them to quickly implement some of the most common design patterns like ...
A Maven Archetype for Jakarta EE 10 Applications
A demonstration of an archetype that generates a Jakarta EE 10 web applications skeleton and its associated artifacts to be deployed on a Payara 6 server.
Integration Tests With Arquillian Extensions on the Payara Platform
Arquillian is a classical integration test framework for JVM- based applications. Explore testing with the Payara server using the Arquillian Cube extension.
BlogSpirit
Spring Cloud Stream Integration with Kafka
This blog ticket demonstrates an use case of SpringBoot Streams and Kafka integration.
Docker Native Clustering: Is it worth using Kubernetes ?
This blog entry is analyzing the Docker native clustering option, with the brand new Swarm mode which is now a part of Docker Engine 1.12
Java and Docker Reunion
This blog ticket shows a couple of frequent pitfalls when using Docker and Java
Spring Boot Microservice with Angular 7 Front End
This blog ticket demonstrates how to implement a Java web application with an Angular front-end and a SpringBoot back-end.
Red Hat Fuse 7.1 – Using JPA providers on Karaf platforms
This blog ticket demonstrates how to implement a JPA application on an Apache Karaf platform, deployed on Red Hat Fuse application server.
Basics of Microservices - Part Six: OAuth 2.0 Security with Keycloak
Microservices with SpringBoot Part 6
Basics of Microservices - Part Five: The Netflix Zuul Service
Microservices with SpringBoot Part 5
Basics of Microservices - Part Four: The Netflix Hystrix Service
Microservices with SpringBoot Part 4
Basics of Microservices - Part Two: The Spring Cloud Configuration Server
Microservices with SpringBoot Part 2
Basics of Microservices - Part One: The Core
Microservices with SpringBoot Part 1
Basics of Microservices - Part Three: The Netflix Eureka Server
Microservices with SpringBoot Part 3
AWS Certified Developer “Official” Study Guide
I’m seeing often, on this site, posts showing some skepticism concerning the certification process and I have to admit that I can’t totally disagree. As a m...
Reactive Systems in Java by by Clément Escoffier and Ken Finnigan
I’ve bought this book almost three years ago, soon after it has been published and I’ve read it right away, but since, I read it again and again, several ti...
Understanding Langchain4j by @agoncalv
Here we go again, the @agoncal 2024, which imminent release have been disclosed by the author himself, a couple of weeks ago, on this same site, is now avai...
Amazon Q: What did I learn today ?
Let’s face it clearly: we, software developers and programmers, don’t like to read here and there that AI generated code is any worth. That’s understandable...
Java Virtual Threads (JEP 444): Serious ?
Now that Java 21 has become your lingua franca and that, since several months, you have up your sleeve a complete and certified JEP 444 implementation, you’...
I’m learning Rust
I had a little bit of time off in this moment, before the end of the year, so I decided to learn Rust. I started with “Rust in Action” (https://www.manning.c...
Payara
Using Jakarta EE RDBMS Based Identity Store with Payara
This blog ticket is demonstrating how the Payara platform (Server and Micro) is implementing the JSR-375 specifications in order to perform RDBMS based authe...
Jakarta EE vs Competition
In this blog, I’ll explain more about Jakarta EE from my perspective as a Senior Java software architect/developer and why Jakarta EE and its runtimes beat t...
Using Jakarta EE LDAP Based Identity Store with Payara
This blog ticket is demonstrating how the Payara platform (Server and Micro) is implementing the JSR-375 specifications in order to perform LDAP based authen...
Using Jakarta EE Identity Store With Payara and RDBMS
Demonstrating how to instrumentalize and monitor Spring Boot Services on the behalf of a large set of tools. Check out this entry for our Computer Science Fa...
Medium
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Behavior Parameterization in Java
The BP (Behavior Parameterization) is a software development technique which aims at facilitating to handle the frequent requirements changes.