There are pros and cons using to a microservices architecture. Some teams decide not to strictly follow all the principles of the "pure" microservices architecture. This post explores some valid reasons for using or not using microservices, and it discusses alternatives.
This article shows how to use Apache QPid Proton (or Red Hat AMQ Interconnect) as a message router, the Vert.x AMQP bridge, and the Advanced Message Queuing Protocol (AMQP) for asynchronous request-reply communication between two microservices. Since AMQP is a wire-level protocol, services written in other stacks (like .NET) can also use the same communication channel.
Red Hat's implementation of MicroProfile, WildFly Swarm, has been renamed to Thorntail. In this article, find out why, and learn about SmallRye
Istio Pool Ejection allows you to temporarily block under- or non-performing pods from your system.
In this DevNation Live session, we will deep dive into the CNCF's OpenTracing API and Jaeger.
The next online DevNation Live is June 21st at 12pm EDT for "Advanced Microservices Tracing with Jaeger", presented by Red Hat software engineers Pavol Loffay and Juraci Paixão Kröhling.
This video demonstrates how Istio Route Rules work with kubernetes (and OpenShift) to route traffic between microservices without any code changes.
If you need to build some Python-based microservices, one way to do it is to install Python in a Red Hat Enterprise Linux virtual machine and use Flask, a microframework that makes building RESTful services easy.
Red Hat Fuse 7 is a cloud-native, low-code integration platform built for microservices. It can help developers and integrators package applications as containers so they are cloud-ready, and it can automate application deployment and management.
Modernizing a monolithic application by introducing microservices has some significant risks. Red Hat's Christian Posta shares his experiences helping customers move to microservices, providing lots of practical advice and insight along the way.
Red Hat Senior Architects Marius Bogoevici and Christian Posta recently presented an overview of event-driven architecture, taking the audience from the basics of enterprise integration to microservices and serverless computing.
In this session we get started using Function as a Service (FaaS) engine with Apache OpenWhisk deployed on Kubernetes and OpenShift.
You're in an IT department. How does the rest of the organization see you? As a valuable asset whose code and APIs make a difference in the marketplace, or as a necessary evil that should be trimmed wherever possible? Containers, microservices, and serverless computing can get you where you need to go.
About a year ago Red Hat announced its participation as a launch partner of the Istio project. We are now introducing the istiooc command-line tool and a set of pre-built Istio and Jaeger example scenarios that would make it even easier to get started with these technologies.
We are excited to announce a Developer Preview of AMQ Streams, a new addition to Red Hat AMQ, focused on running Apache Kafka on OpenShift. AMQ Streams simplifies the deployment, configuration, management and use of Apache Kafka on OpenShift using automation based on Kubernetes Operators.
The past nine weeks of blog posts have introduced, explained, and demonstrated some of the many features of the Istio service mesh when combined it is with Red Hat OpenShift and Kubernetes. This, the final post in this series, is a recap.
The Eclipse MicroProfile project is moving fast with four releases and eight subspecs having at least two implementations each. This post provides an overview of MicroProfile 1.3, which was released on September 30th, and helps you to get started with the specification.
From Idea to Deployment the Agile Way--Part III: The whole API lifecycle should go agile in order to stay relevant. But, this is made difficult because new service-based architectures make dependencies skyrocket. It’s time to think of a new way to deliver APIs--mocking and testing included--to simplify and accelerate the process of shipping production-ready APIs.
Burr Sutter (@burrsutter) and I (@christianposta) have finished writing a small book to help folks get up and running with Istio.io service mesh! Download the complimentary e-book at developers.redhat.com.
This is part eight of a ten-week series and covers using the Canary Deployment pattern to ease code into production. Istio makes this easy while giving you several good options for intelligent routing. And you can do it all without changing your source code.
From Idea to Deployment the Agile Way--Part II: The whole API lifecycle should go agile in order to stay relevant. But, this is made difficult because new service-based architectures make dependencies skyrocket. It’s time to think of a new way to deliver APIs--mocking and testing included--to simplify and accelerate the process of shipping production-ready APIs.
In the last post, we saw how Eclipse Vert.x can interact with a database. To tame the asynchronous nature of Vert.x, we used Future objects. In this post, we are going to see another way to manage asynchronous code: reactive programming. We will see how Vert.x combined with Reactive eXtensions gives you superpowers.
Discover how using Istio with OpenShift and Kubernetes eases microservices production and deployment. (Part 7 of 10 in a series)
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