Tag Archives: Microservices

In this saga divided into three-part, I will demonstrate how to use the SoapUI API tool to invoke a secured SOAP service. Firstly, I will focus on creating a service where in the next posts it will serve as the system under test. The access to the resource in this service is maintained using Basic Authentication transport security mechanisms. One of many provided by ...

When building REST APIs for microservices, there are a few design decisions to make about responses. Some responses are clearly a product of the protocols surrounding your microservice – things like the 3xx codes for instance are all about redirects and routing. In general, you will be trying to get the right 2xx codes for success. If in doubt, it’ll ...

I’ve been pretty invested in helping organizations with their cloud-native journeys for the last five years. Modernizing and improving a team (and eventually an organization’s) velocity to deliver software-based technology is heavily influenced by it’s people, process and eventual technology decisions. A microservices approach may be appropriate when the culmination of an application’s architecture has become a bottleneck (as a ...

Several traditional ORMs do not fully honor Java module encapsulation (JPMS). This often means a lot of unnecessary files and classes are used when deploying microservices. The latest major release 3.2 of open-sourceSpeedment solves this problem by introducing module system support allowing efficient deployment of cloud applications and providing a more stringent API. In this article, you will learn what’s ...

Publish-Subscribe Messaging systems play an important role in any enterprise architecture as it enables reliable integration without tightly coupling the applications. The ability to share data between decoupled systems is not a problem that is easily tackled. Consider an enterprise with multiple applications that are being built independently, with different languages and platforms. It needs to share data and processes ...

In the previous posts we build few micro services (Order Service, Product Service, Customer Service) for an order management system using Docker and Spring Boot. We used Netflix libraries to manage, discover and load balance the micro services. Managing these micro services and their multiple containers could get a bit tricky; especially in terms of Scalability, Observability, Security, Monitoring and ...

1. Introduction In this last part of the tutorial we are going to talk about the topic where all the observability pillars come together: monitoring and alerting. For many, this subject belongs strictly to operations and the only way you know it is somehow working is when you are on-call and get pulled in. Table Of Contents 1. Introduction 2. ...

Building a recommendation system with Spark is a simple task. Spark’s machine learning library already does all the hard work for us. In this study I will show you how to build a scalable application for Big Data using the following technologies: Scala LanguageSpark with Machine LearningAkka with ActorsCassandra A recommendation system is an information filtering mechanism that attempts to ...

Microservice architectures are not free lunch! Microservices need to be decoupled, flexible, operationally transparent, data aware and elastic. Most material from last years only discusses point-to-point architectures with tightly coupled and non-scalable technologies like REST / HTTP. This blog post takes a look at cutting edge technologies like Apache Kafka, Kubernetes, Envoy, Linkerd and Istio to implement a cloud-native service ...